Method for evaluating drug sensitivity and disease vulnerability by analyzing cyclic AMP responsive element binding protein gene

Information

  • Patent Grant
  • 9727691
  • Patent Number
    9,727,691
  • Date Filed
    Monday, October 1, 2012
    12 years ago
  • Date Issued
    Tuesday, August 8, 2017
    7 years ago
Abstract
The present invention provides a method for evaluating (predicting, etc.) an individual difference (the tendency of every individual) in terms of drug sensitivity and disease vulnerability, comprising using a gene polymorphism of a cyclic AMP responsive element binding protein gene or the like. The method for evaluating drug sensitivity and the method for evaluating disease vulnerability according to the present invention comprise associating a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism with the drug sensitivity and disease vulnerability of an individual.
Description
TECHNICAL FIELD

The present invention relates to a method for evaluating drug sensitivity and disease vulnerability, comprising analyzing a cyclic AMP responsive element binding protein (cAMP responsive element binding protein; CREB) gene. Specifically, the present invention relates to a method for evaluating drug sensitivity and disease vulnerability, comprising associating a gene polymorphism of a CREB gene or a haplotype constituted by the gene polymorphism with the drug sensitivity and disease vulnerability of an individual. More specifically, the present invention relates to a method for evaluating a tendency in the presence or absence of the drug sensitivity and disease vulnerability of an individual, based on the results from the analysis of the above-described gene polymorphism or haplotype.


BACKGROUND ART

Pain is a pathology which is most frequently observed in the medical field, and it is often the case that the pain accompanying a disease is serious for the patient rather than the disease itself. The pain sensation plays an important role in terms of a biological warning system, however, excessive pain would significantly decrease QOL (quality of life) unless it is properly controlled. Recently, the importance of pain control has been recognized, and palliative care including pain therapy has remarkably progressed, and there is a tendency of increasing the frequency and amount of use of various analgesics.


It has been previously known that narcotic analgesics including morphine as a representative example act on a protein known as an “opioid receptor,” so as to cause analgesic action. The opioid receptor includes three types of receptors, a μ-type opioid receptor, a δ-type opioid receptor, and a κ-type opioid receptor, and all of these receptors are related to analgesic action. Since these receptors are Gi/o protein-coupled receptors, they activate a GIRK channel and suppression of a calcium channel through the mediation of a Gi-o protein. In addition, the receptors suppress adenylate cyclase (Non Patent Literature 1: Pierce K. et al., Seven-transmembrane receptors, Nat Rev Mol Cell Biol, (2002) 3: 639-650; Non Patent Literature 2: Bokoch G M. et al., Purification and properties of the inhibitory guanine nucleotide-binding regulatory component of adenylate cyclase, J Biol Chem, (1984) 259: 3560-3567). Activation of adenylate cyclase activates cyclic AMP-dependent protein kinase, and it causes activation of a cyclic AMP responsive element binding protein (CREB) through phosphorylation of the serine residue at position 133 of the protein (Non Patent Literature 3: Gonzalez G A. et al., Cyclic AMP stimulates somatostatin gene transcription by phosphorylation of CREB at serine 133, Cell, (1989) 59: 675-680). The activated CREB binds to a CREB-binding protein acting as an activation cofactor (Non Patent Literature 4: Chrivia J C, et al., Phosphorylated CREB binds specifically to the nuclear protein CBP., Nature, (1993) 365: 855-859), and it binds to the cyclic AMP responsive element of genomic DNA, thereby promoting gene expression (Non Patent Literature 5: Montminy M R. et al., Identification of a cyclic-AMP-responsive element within the rat somatostatin gene., Proc Natl Acad Sci USA, (1986) 83: 6682-6686).


SUMMARY OF INVENTION

The objective of the present invention is to provide a method for evaluating (predicting, etc.) an individual difference (the tendency of every individual) in terms of drug sensitivity and disease vulnerability, comprising using a gene polymorphism of a cyclic AMP responsive element binding protein (CREB) gene or the like.


The present inventors focused on the cyclic AMP responsive element binding protein (CREB) gene and conducted extensive examinations based on conventional findings and clinical data. As a result, the inventors identified several useful gene polymorphisms by analyzing the association of each CREB gene polymorphism with sensitivity to drugs such as analgesics, and with disease vulnerability including pain sensitivity. Thereafter, the inventors found linkage disequilibrium among the thus identified gene polymorphisms, and we also revealed a significant correlation between drug sensitivity and disease vulnerability (more specifically, a change in the required administration amount of an analgesic and a change in the threshold value of pain sensitivity due to a difference in specific CREB gene polymorphisms), thereby accomplishing the present invention.


Thus, the present invention relates to the following:


1. A method for evaluating drug sensitivity, comprising associating a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism with an individual drug sensitivity.


The above-described evaluation method includes a method for evaluating a tendency in the presence or absence of an individual drug sensitivity based on the results from the analysis of the gene polymorphism or the haplotype.


2. The method according to 1 above, comprising the following steps: (1) a step of performing linkage disequilibrium analysis and haplotype analysis on a healthy subject and selecting gene polymorphisms in a linkage disequilibrium block; (2) a step of analyzing the association between the genotypes of the gene polymorphisms and drug sensitivity in a test subject; and (3) a step of using the gene polymorphism that has been significantly associated with drug sensitivity in the test subject for evaluation of the drug sensitivity.


3. A method for evaluating disease vulnerability, comprising associating a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism with an individual disease vulnerability.


The above-described evaluation method includes a method for evaluating a tendency in the presence or absence of an individual disease vulnerability is evaluated based on the results from the analysis of the gene polymorphism or the haplotype.


4. The method according to 3 above, comprising the following steps: (1) a step of performing linkage disequilibrium analysis and haplotype analysis on a healthy subject and selecting gene polymorphisms in a linkage disequilibrium block; (2) a step of analyzing the association between the genotypes of the gene polymorphisms and pain sensitivity; and (3) a step of using the gene polymorphism that has been significantly associated with pain sensitivity in the test subject for evaluation of the disease vulnerability.


5. The method according to 3 or 4 above, wherein the disease vulnerability is pain sensitivity or vulnerability to substance dependence (in particular, vulnerability to drug dependence).


6. The method according to any one of 1 to 5 above, wherein the gene polymorphism is at least one selected from the group consisting of a single nucleotide polymorphism, an insertion polymorphism, a deletion polymorphism, and a nucleotide repeat polymorphism.


7. The method according to any one of 1 to 6 above, wherein the gene polymorphism is at least one selected from among: rs16839837, rs2360969, rs10932200, rs2253206, rs2551640, rs11904814, rs16839883, rs6740584, rs3770704, rs2254137, rs2551645, rs2551946, rs4234080, rs2952768, rs2709386, rs7591784, and rs7594560 of a CREB1 subtype gene (which is a CREB1 gene as a subtype of the CREB gene (the same shall apply hereafter); rs1243872, rs2145925, rs2025126, rs1885373, rs1885374, GA007473, rs2295794, rs4879926, GA007477, rs867194, rs11541908, rs741917, rs7862485, rs2756894, rs2249250, rs2295795, rs877365, rs2737273, rs2295797, rs2295798, rs1534847, rs7873822, rs2737274, rs10972567, rs3763630, rs10814274, rs3750434, rs1570246, GA025684, rs1570248, rs1570249, rs34478611, rs1322045, rs1951432, GA025687, rs10814275, rs10758320, rs4878628, rs10758321, and rs10758322 of a CREB3 subtype gene (which is a CREB3 gene as a subtype of the CREB gene (the same shall apply hereafter); rs4722778, rs177479, rs177480, rs11981754, rs177486, rs177498, rs2175738, rs17156579, rs17156603, rs17642145, rs10229500, rs10243659, rs4722785, rs16874503, rs11772815, rs6958133, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs7794304, rs6952227, rs42695, rs1029897, rs4722793, rs10233653, rs6955105, rs17156685, rs17156694, rs17156699, rs177572, rs177573, rs177574, rs177576, rs13437706, rs177580, rs177581, rs12666636, rs177584, rs177585, rs216715, rs10951197, rs160335, rs1008262, rs310353, rs310359, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs917275, rs41348, rs886816, rs17157048, rs6462098, rs10951201, rs13311248, rs12540480, rs10265166, rs7798774, rs7799246, rs6972081, rs12533079, rs7806547, rs6462100, rs6979352, rs6950574, rs4722835, rs2066979, rs10486591, rs721993, rs2237351, rs3735566, rs11975539, rs6462107, rs2190306, rs4719955, and rs10228137 of a CREB5 subtype gene (which is a CREB5 gene as a subtype of the CREB gene (the same shall apply hereafter); and rs1153711, rs1153702, rs7583431, rs1153699, rs2302663, rs3845744, rs212349, rs212347, rs12693057, rs1153685, rs212360, rs212361, rs2072538, rs1205399, rs1153676, rs7566401, rs7578569, rs3755490, rs13388308, rs11888507, rs10497434, rs268214, rs166531, rs268228, rs268229, rs268230, rs268231, rs10497435, rs1982235, rs268237, rs13030474, and rs268174 of an ATF2 subtype gene (which is an ATF2 gene as an alias of a CREB2 gene that is a subtype of the CREB gene (the same shall apply hereafter)).


8. The method according to any one of 1 to 7 above, wherein the haplotype is at least one selected from the following table.


It is to be noted that haplotypes constituted by a combination of any given number and type of various gene polymorphisms according to 7 above can also be selected as haplotypes used in the evaluation method and the like of the present invention.









TABLE 1







Gene name CREB1


Linkage disequilibrium block No. 1








Hap-
Gene polymorphism name (※)
























lotype
1
2
3








12
13



17


No.
Tag
Tag
Tag
4
5
6
7
8
9
10
11
Tag
Tag
14
15
16
Tag





H1
C
C
C
A
G
G
G
T
C
C
C
C
C
C
A
A
T


H2
C
C
A
G
A
T
A
C
T
A
T
C
C
T
G
G
T


H3
C
T
C
A
G
G
A
T
T
C
C
C
C
C
A
A
T


H4
T
C
A
G
A
T
A
C
T
A
T
C
A
T
G
G
C


H5
C
C
A
G
A
T
A
C
T
A
T
A
C
C
A
A
T


H6
T
C
A
G
A
T
A
C
T
A
T
C
C
T
G
G
T


H7
T
C
A
G
A
T
A
C
T
A
T
C
A
T
G
G
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~17: (in this order)rs16839837, rs2360969, rs10932200, rs2253206, rs2551640, rs11904814, rs16839883, rs6740584, rs3770704, rs2254137, rs2551645, rs2551946, rs4234080, rs2952768, rs2709386, rs7591784 and rs7594560













TABLE 2





Gene name CREB3

















Linkage disequilibrium block No. 1


Hap-
Gene polymorphism name (※)































lotype
1
2
3





9

11















No.
Tag
Tag
Tag
4
5
6
7
8
Tag
10
Tag
12
13
14
15
16
17
18
19
20
21
22
23
24





H1
G
C
G
T
A
T
T
T
C
T
C
C
G
C
T
G
T
G
T
C
A
G
G
A


H2
G
C
G
T
A
T
T
T
T
T
C
C
G
C
T
G
T
G
T
C
A
G
G
A


H3
T
T
A
T
A
T
C
T
C
T
T
C
G
A
G
A
C
A
C
C
G
T
G
C


H4
T
T
A
T
A
T
C
T
C
T
C
C
G
A
G
A
C
A
C
C
G
T
G
C


H5
T
C
G
C
C
C
C
C
C
T
C
C
A
A
G
G
C
A
T
C
A
T
A
C


H6
T
T
G
T
A
T
C
T
C
C
C
T
G
A
T
G
C
G
T
C
A
G
G
C


H7
T
C
A
T
A
T
C
T
C
T
T
C
G
A
G
A
C
A
C
C
G
T
G
C








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%






Linkage disequilibrium block No. 2


Hap-
Gene polymorphism name (※)























lotype
25
26


29






36

38
39



No.
Tag
Tag
27
28
Tag
30
31
32
33
34
35
Tag
37
Tag
Tag
40





H8
C
C
G
G
G
C
G
G
G
A
T
A
C
C
G
C


H9
C
T
A
T
G
T
A
G
A
G
A
A
T
C
A
T


H10
T
C
G
G
C
T
G
A
A
G
A
A
T
C
G
C


H11
C
T
A
G
G
T
A
G
A
G
A
A
T
C
G
T


H12
C
C
G
G
C
T
G
A
A
G
A
A
T
C
G
C


H13
C
T
A
T
G
T
A
G
A
G
A
G
T
C
A
T


H14
C
C
G
G
G
C
G
G
G
A
T
A
C
T
G
C








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~40: (in this order)rs1243872, rs2145925, rs2025126, rs1885373, rs1885374, GA007473, rs2295794, rs4879926, GA007477, rs867194, rs11541908, rs741917, rs7862485, rs2756894, rs2249250, rs2295795, rs877365, rs2737273, rs2295797, rs2295798, rs1534847, rs7873822, rs2737274, rs10972567, rs3763630, rs10814274, rs3750434, rs1570246, GA025684, rs1670248, rs1570249, rs34478611, rs1322045, rs1951432, GA025687, rs10814275, rs10758320, rs4878628, rs10758321 and rs10758322













TABLE 3





Gene name CREB5

















Linkage disequilibrium block No.

















1

5

8

9

10









Gene polymorphism name (※)






























1
2


5
6

7
8
9

11


13
14

15
16

17
18


Haplotype (H) No.
Tag
Tag
3
4
Tag
Tag
H No.
Tag
Tag
Tag
10
Tag
12
H No.
Tag
Tag
H No.
Tag
Tag
H No.
Tag
Tag





H1
C
T
A
A
G
C
H6
C
C
G
C
A
G
H11
T
G
H14
T
A
H17
G
T


H2
G
C
G
A
G
T
H7
C
A
A
C
G
G
H12
C
C
H15
C
A
H18
G
G


H3
G
C
G
A
A
T
H8
C
C
G
C
G
G
H13
C
G
H16
C
G
H19
A
G


H4
C
C
G
A
G
T
H9
T
A
A
C
G
A
. . .


. . .


. . .




H5
G
C
G
A
G
C
H10
C
C
A
C
G
G

















. . .
Haplotypes which are estimated to occur at a frequency of less than 1%












Linkage disequilibrum block No.

















11

12

13

15

16









Gene polymorphism name (※)



























19
20

21
22
23

24
25

26
27
28

29
30
31




Haplotype (H) No.
Tag
Tag
H No.
Tag
Tag
Tag
H No.
Tag
Tag
H No.
Tag
Tag
Tag
H No.
Tag
Tag
Tag
32
33





H20
T
A
H24
G
C
C
H28
A
A
H31
G
T
C
H35
C
C
C
G
C


H21
T
G
H25
G
C
T
H29
G
A
H32
A
C
T
H36
T
C
A
G
C


H22
C
G
H26
A
C
T
H30
G
G
H33
A
T
T
H37
C
C
A
G
C


H23
C
A
H27
G
T
T
. . .


H34
A
T
C
H38
T
T
C
A
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%






Linkage disequilibrum block No.















25

26

27

32









Gene polymorphism name (※)




























34
35

36
37
38
39

40


42
43
44
45

47


50


Haplotype (H) No.
Tag
Tag
H No.
Tag
Tag
Tag
Tag
H No.
Tag
41
H No.
Tag
Tag
Tag
Tag
46
Tag
48
49
Tag





H39
T
A
H42
G
A
G
G
H47
A
A
H49
A
T
C
G
T
G
T
T
T


H40
C
G
H43
G
A
A
A
H48
G
G
H50
A
T
C
G
T
G
T
T
C


H41
T
G
H44
A
G
G
A
. . .


H51
A
T
A
C
C
G
T
C
C


. . .


H45
G
A
G
A



H52
C
T
A
C
T
T
C
T
C





H46
G
G
G
A



H53
C
T
A
C
T
G
C
T
C





. . .







H54
A
C
C
G
T
G
T
T
T













H55
A
T
A
G
T
G
T
T
C









Haplotypes which are estimated to occur at a frequency of less than 1%












Linkage disequilibrum block No.













33

35

40









Gene polymorphism name (※)
























51
52
53
54



57
58

59







Haplotype (H) No.
Tag
Tag
Tag
Tag
55
56
H No.
Tag
Tag
H No.
Tag
60
61
62
63
64





H56
T
G
G
C
A
A
H61
C
T
H64
G
G
C
T
T
C


H57
T
A
A
T
G
C
H62
T
C
H65
A
A
T
C
C
A


H58
G
A
A
C
G
C
H63
T
T
. . .








H59
T
A
G
C
A
A
. . .











H60
T
A
A
C
G
C


















. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~64: (in this order)rs4722778, rs177479, rs177480, rs11981754, rs177486, rs177498, rs10229500, rs10243659, rs4722785, rs16874503, rs11772815, rs6958133, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs6952227, rs42695, rs1029897, rs10233653, rs6956105, rs17156699, rs177572, rs177573, rs177580, rs177581, rs12666636, rs177584, rs177585, rs1008262, rs310353, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs917275, rs17157048, rs6462098, rs10951201, rs13311248, rs12540480, rs10265166, rs7798774, rs7799246, rs6972081, rs12533079, rs7806547, rs6462100, rs6979352, rs6950574, rs4722835, rs721993, rs2237351, rs3735566, rs11975539, rs6462107, rs2190306, rs4719955 and rs10228137













TABLE 4





Gene name ATF2

















Linkage disequilibrium block No.










1
2








Hap-
Gene polymorphism name (※)























lotype
1
2
3
4
5













No.
Tag
Tag
Tag
Tag
Tag
6
7
8
9
10
11
11
13
14
15
16





H1
T
C
A
A
G
C
C
A
G
C
G
T
C
A
A
A


H2
G
C
A
G
G
T
T
G
A
T
A
C
A
C
C
G


H3
T
T
C
G
A
T
T
G
A
T
A
C
A
C
C
G


H4
T
T
A
G
A
T
T
G
A
T
A
C
A
C
C
G






G
G
T
T
G
A
T
A
C
A
C
C
G








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%






Linkage disequilibrium block No. 2


Hap-
Gene polymorphism name (※)









lotype
21
28






















No.
17
18
19
20
Tag
22
23
24
25
26
27
Tag
29
30
31





H5
C
T
T
C
C
C
G
A
C
A
C
T
T
G
T


H6
T
C
C
T
T
T
A
G
A
C
T
G
C
G
G


H7
T
C
C
T
T
T
A
G
A
C
T
T
C
G
C


H8
T
C
C
T
T
T
A
G
A
C
T
G
C
G
C


H9
T
C
C
T
C
C
G
A
C
A
C
T
T
G
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~31: (in this order)rs1153711, rs1153702, rs7583431, rs2302663, rs3845744, s212349, rs212347, rs12693057, rs1153685, rs212360, rs212361, rs2072538, rs1205399, rs1153676, rs7566401, rs7578569, rs3755490, rs13388308, rs11888507, rs10497434, rs268214, rs166531, rs268228, rs268229, rs268230, rs268231, rs10497435, rs1982235, rs268237, rs13030474 and rs268174






9. A method for determining the type, amount, and/or frequency of administration of a drug to be administered to an individual, comprising using the result from the evaluation by the method according to any one of 1 to 8 above as an index.


10. A method for predicting a side effect of a drug to be administered to an individual, comprising using the result from the evaluation by the method according to any one of 1 to 8 above as an index.


11. The method according to any one of 1, 2, 5, 9, and 10 above, wherein the drug is an opioid receptor function modulator and/or a cyclic AMP responsive element binding protein function modulator.


12. The method according to 11 above, wherein the opioid receptor function modulator is at least one selected from the group consisting of methamphetamine, methylenedioxymethamphetamine, amphetamine, dextroamphetamine, dopamine, morphine, DAMGO, codeine, methadone, carfentanil, fentanyl, heroin, cocaine, naloxone, naltrexone, nalorphine, levallorphan, pentazocine, pethidine, buprenorphine, oxycodone, hydrocodone, levorphanol, etorphine, dihydroetorphine, hydromorphone, oxymorphone, tramadol, diclofenac, indomethacin, ethanol, methanol, diethyl ether, propanol, butanol, flupirtine, laughing gas, F3 (1-chloro-1,2,2-trifluorocyclobutane), halothane, estradiol, dithiothreitol, thioridazine, pimozide, fluoxetine, paroxetine, desipramine, imipramine, clomipramine, tetramide, isoflurane, ginsenoside, ifenprodil, bupivacaine, tertiapin, clozapine, haloperidol, SCH23390, and cocaine; and the cyclic AMP responsive element binding protein function modulator is at least one selected from the group consisting of phosphodiesterase 4 (PDE4), calcineurin, protein kinase A, protein kinase C, p90 ribosome S6 kinase 1 (RSK1), calmodulin kinase, glycogen synthase kinase 313, and CREB-regulated transcription coactivator 1 (CRTC1).


13. The method according to any one of 1 to 12 above, comprising using an oligonucleotide consisting of a nucleotide sequence of at least 10 nucleotides comprising the 51st nucleotide of the nucleotide sequence represented by any one of SEQ ID NOS: 1 to 172, or a complementary nucleotide sequence thereto, which can specifically hybridize to a DNA fragment comprising a gene polymorphism of a cyclic AMP responsive element binding protein gene.


14. The method according to 13 above, wherein the oligonucleotide spans a length of 10 to 150 nucleotides.


15. The method according to 13 or 14 above, wherein the oligonucleotide is selected from the group consisting of the nucleotide sequence represented by any one of SEQ ID NOS: 1 to 38 and a complementary nucleotide sequence thereto.


16. A gene polymorphism marker for evaluating a tendency in the presence or absence of an individual drug sensitivity, comprising a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism. Examples of the drug applied herein are the same as those described in 11 and 12 above.


17. A gene polymorphism marker for evaluating a tendency in the presence or absence of an individual disease vulnerability, comprising a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism.


According to the present invention, there can be provided: a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism, which is capable of evaluating an individual difference in terms of drug sensitivity and disease vulnerability; a method for evaluating drug sensitivity and disease vulnerability, comprising using the gene polymorphism or the haplotype; etc. According to this evaluation method, it becomes possible to readily know or predict a proper prescribed amount, a proper prescribed schedule, and the like, associated with a narcotic drug such as morphine, and hence the method is extremely useful for personalized pain therapy, drug dependence therapy and the like.





BRIEF DESCRIPTION OF DRAWINGS


FIG. 1 is a schematic view showing gene polymorphisms identified regarding a CREB1 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of D′ that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of D′ between rs16839837 and rs2551640 is 0.91.



FIG. 2 is a schematic view showing gene polymorphisms identified regarding a CREB1 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of r2 that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of r2 between rs16839837 and rs2551640 is 0.12.



FIG. 3 is a schematic view showing gene polymorphisms identified regarding a CREB3 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of D′ that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of D′ between rs1243872 and rs2025126 is 0.97.



FIG. 4 is a schematic view showing gene polymorphisms identified regarding a CREB3 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of r2 that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of r2 between rs1243872 and rs2025126 is 0.67.



FIG. 5 is a schematic view showing gene polymorphisms identified regarding a CREB5 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of D′ that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of D′ between rs4722778 and rs177479 is 0.93.



FIG. 6 is a schematic view showing gene polymorphisms identified regarding a CREB5 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of r2 that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of r2 between rs4722778 and rs177479 is 0.85.



FIG. 7 is a schematic view showing gene polymorphisms identified regarding a ATF2 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of D′ that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of D′ between rs1153711 and rs1153700 is 0.86.



FIG. 8 is a schematic view showing gene polymorphisms identified regarding a ATF2 subtype gene and a linkage disequilibrium found among them. In the figure, high-color squares indicate SNPs showing strong linkage with each other. In addition, the square found at the intersection of squares continued from each SNP to the lower left direction or the lower right direction indicates the calculation value (percentage) of r2 that is an index of the linkage disequilibrium of a SNP and another SNP. For example, the calculation value of r2 between rs1153711 and rs1153700 is 0.14.



FIG. 9 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs10932200) of a CREB1 subtype gene on the required administration amount (μg/kg) of analgesic in 24 hours after surgery, in all patients who were administered with analgesic in the surgery (orthognathic surgery).



FIG. 10 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs10932200) of a CREB1 subtype gene on the measurement results (sec) of pain sensitivity before surgery, in all patients who were administered with analgesic in the surgery (orthognathic surgery).



FIG. 11 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs10932200) of a CREB1 subtype gene on the measurement results (mm) of VAS (the intensity of pain on a visual analogue scale) 24 hours after surgery, in male patients who were administered with analgesic in the surgery (orthognathic surgery).



FIG. 12 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs7583431) of an ATF2 subtype gene on the measurement results (sec) of a difference in threshold of pain perception latency before surgery, in all patients who were administered with analgesic in the surgery (orthognathic surgery).



FIG. 13 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs2952768) of a CREB1 subtype gene on the required administration amount (μg/kg) of analgesic in 24 hours after surgery, in all patients who were administered with analgesic in the surgery (orthognathic surgery).



FIG. 14 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs2952768) of a CREB1 subtype gene on the required administration amount (μg/kg) of analgesic in 24 hours after surgery, in all patients who were administered with analgesic in the surgery (abdominal surgery).



FIG. 15 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs2952768) of a CREB1 subtype gene on the reward dependence (RD) score (average) of Temperament and Character Inventory (TCI) in all healthy subjects.



FIG. 16 is a graph showing the effect (overall average±standard deviation) of a polymorphism (rs2952768) of a CREB1 subtype gene on the expression level of a CREB1 subtype gene in postmortem brain tissue donors at the Stanley Foundation Brain Bank.





DESCRIPTION OF EMBODIMENT

Hereinafter, the present invention will be described in detail. However, the scope of the invention is not limited to the description, and changes and modifications can be made therein without departing from the spirit of the invention other than the following examples.


It is to be noted that the present specification includes all of the contents as disclosed in the specification and/or drawings of Japanese Patent Application No. 2011-217104 (filed on Sep. 30, 2011), which is a priority document of the present application. Moreover, all publications cited in the present specification, including prior art documents and patent literatures such as patent laid-open applications or patent publications, are incorporated herein by reference in their entirety.


1. Outline of the Present Invention


(1) Cyclic AMP Responsive Element Binding Protein


Cyclic AMP responsive element binding protein (cAMP responsive element binding protein; CREB) is a protein, which includes a signaling system downstream of G protein-coupled receptor such as a μ-type opioid receptor, is activated depending on an intracellular cyclic AMP concentration, and binds to a cyclic AMP responsive element (cAMP responsive element) of nuclear genomic DNA, so that it is associated with regulation of gene expression. The cyclic AMP responsive element binding protein is present in various tissues and/or organs such as cardiac muscle, various types of smooth muscle, fat cells, skeletal muscle and brain, and it is also associated with neurogenesis, memory, dependence, etc., through the expression of various genes.


Narcotic analgesics including morphine as a representative example act on a protein known as an “opioid receptor,” so as to cause analgesic action. The opioid receptor includes three types of receptors, a μ-type opioid receptor, a δ-type opioid receptor, and a κ-type opioid receptor, and all of these receptors are related to analgesic action. Since these receptors are Gi/o protein-coupled receptors, they activate a GIRK channel and suppression of a calcium channel through the mediation of a Gi-o protein. In addition, the receptors suppress adenylate cyclase. Activation of adenylate cyclase activates cyclic AMP-dependent protein kinase, and it causes activation of a cyclic AMP responsive element binding protein (CREB) through phosphorylation of the serine residue at position 133 of the protein. The activated CREB binds to a CREB-binding protein acting as an activation cofactor, and it binds to the cyclic AMP responsive element of genomic DNA, thereby promoting gene expression.


Herein, the cyclic AMP responsive element binding protein will be described. The cyclic AMP responsive element binding protein is distributed in various tissues and/or organs including brain and heart, and plays an important role for neurogenesis, memory, the expression of dependence, etc., through the expression of various types of genes. The cyclic AMP responsive element binding protein has a domain structure comprising a Q-rich domain, a kinase-inducible domain (KID), a basic region/leucine zipper (bZIP), etc. The protein binds to genomic DNA.


The cyclic AMP responsive element binding protein functions as a dimer formed from two subunits. The type of a receptor subtype is broadly classified into CREB1, CREB3, CREB5, ATF2 and the like, and their homologs have also been known. These subtypes are expressed in various tissues and/or organs including brain and heart.


(2) Gene Polymorphism


The present inventors identified gene polymorphisms (such as SNP) of the subtypes CREB1, CREB3, CREB5 and ATF2 (CREB2) capable of constituting a cyclic AMP responsive element binding protein in healthy subjects (FIGS. 1 to 8). Further, a linkage disequilibrium analysis was carried out as needed, and a block exhibiting a strong linkage disequilibrium (a haplotype block) was identified.


Here, the linkage equilibrium means a case where the relationship between two gene polymorphisms on the chromosome is independent, and the linkage disequilibrium means a case where a gene polymorphism is linked to the other gene polymorphism thereby deviating from the equilibrium situation according to Mendel's law of independence. Further, the haplotype means a genetic structure of such as genes or gene polymorphisms located in the vicinity of each other in one allele of a set of alleles (a gene derived from one of the parents).


Gene polymorphisms or the like located in the vicinity on a genome are inherited in a haplotype block. In other words, a haplotype also refers to a combination of the arrangement of the same gene in this haplotype block.


In the case where several gene polymorphisms appear in association with a certain phenotype in the cyclic AMP responsive element binding protein genes, even if not all the respective gene polymorphisms are typed, by analyzing several gene polymorphisms constituting a haplotype, a relationship between the genotype and the phenotype of a patient can be elucidated.


The present inventors analyzed the cyclic AMP responsive element binding protein CREB1 subtype gene, and as a result, they found 4 and 6 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, and also found 7 gene polymorphisms in the intron region (see Table 5).


In addition, with regard to the CREB3 subtype gene, the inventors found 25 and 14 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, and also found 1 gene polymorphism in the intron region (see Table 5).


Moreover, with regard to the CREB5 subtype gene, the inventors found 9 and 5 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, and also found 241 gene polymorphisms in the intron region and 2 gene polymorphisms (rs2190305 and rs3735566) in the noncoding region of exon (see Table 6).


Furthermore, with regard to the ATF2 subtype gene, the inventors found 11 and 6 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, and also found 16 gene polymorphisms in the intron region and 1 gene polymorphism (rs10497434) in the noncoding region of exon (see Table 5).


According to the present invention, by analyzing gene polymorphisms of the cyclic AMP responsive element binding protein gene or haplotypes constituted by the gene polymorphisms, an individual difference in phenotypes regarding sensitivity to drugs (i.e. drug sensitivity), such as the effectiveness of a drug, the side effects of a drug, and an effective duration of a drug (e.g. the required number of administration of analgesic, the total amount of analgesic, prolongation of stimulant-induced psychosis, etc.), and in phenotypes regarding the development of a disease including pain sensitivity, vulnerability to substance dependence (in particular, vulnerability to drug dependence), etc., can be easily evaluated.


The results of evaluating drug sensitivity and disease vulnerability can be important information for determining the administration number, amount, type or the like of drugs to be administered to an individual, and predicting side effects. Therefore, the present invention provides a method for evaluating drug sensitivity and disease vulnerability based on the results obtained by analyzing gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms, and specifically, a method for evaluating (specifically, knowing in advance or predicting) a tendency in the presence or absence of drug sensitivity and disease vulnerability (more specifically, the presence or absence of the genetic factor thereof) in an individual (an individual person). In addition, the present invention also provides a gene polymorphism marker used for evaluating (specifically, knowing in advance or predicting) a tendency in the presence or absence of drug sensitivity and disease vulnerability (more specifically, the presence or absence of the genetic factor thereof) in an individual (an individual person), wherein the gene polymorphism marker comprises gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms.


In particular, because morphine, a stimulant or the like may cause a big social problem depending on the usage, it is important to know in advance an appropriate amount of drugs to be administered to an individual before administering the drugs. Therefore, the present invention is extremely useful for personalized pain therapy or drug dependence therapy.


Moreover, according to the present invention, by analyzing gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms, an individual difference in terms of dependence-prone personality can be easily evaluated. The results of evaluating dependence-prone personality can be information for determining whether reward dependence is high or low about the personality of an individual. Therefore, the present invention provides a method for evaluating dependence-prone personality based on the results obtained by analyzing gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms, and specifically, a method for evaluating (specifically, knowing in advance or predicting) a tendency in the presence or absence of dependence-prone personality (high reward dependence or low reward dependence) (more specifically, the presence or absence of the genetic factor thereof) in an individual (an individual person). In addition, the present invention also provides a gene polymorphism marker used for evaluating (specifically, knowing in advance or predicting) a tendency in the presence or absence of dependence-prone personality (high reward dependence or low reward dependence) (more specifically, the presence or absence of the genetic factor thereof) in an individual (an individual person), wherein the gene polymorphism marker comprises gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms. Herein, with regard to the types of a gene polymorphism and a haplotype constituted by the gene polymorphism that can be applied to the above-described evaluation of dependence-prone personality, the same gene polymorphisms and haplotypes as those that can be applied to the above-described method for evaluating drug sensitivity and disease vulnerability can be used. Moreover, with regard to oligonucleotides used for the above described evaluation of dependence-prone personality as well, the same oligonucleotides as those used for the above-described method for evaluating drug sensitivity and disease vulnerability can be used.


Furthermore, according to the present invention, by analyzing gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms, an individual difference in terms of the expression level of a CREB1 gene can be easily evaluated. The results of evaluating the expression level of a CREB1 gene can be information for predicting whether the expression level of a CREB1 gene in an individual is high or low. Therefore, the present invention provides a method for evaluating the high or low expression level of a CREB1 gene based on the results obtained by analyzing gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms, and specifically, a method for evaluating (specifically, knowing in advance or predicting) a tendency in the presence or absence of the high or low expression level of a CREB1 gene (more specifically, the presence or absence of the genetic factor thereof) in an individual (an individual person). In addition, the present invention also provides a gene polymorphism marker used for evaluating (specifically, knowing in advance or predicting) a tendency in the presence or absence of the high or low expression level of a CREB1 gene (more specifically, the presence or absence of the genetic factor thereof) in an individual (an individual person), wherein the gene polymorphism marker comprises gene polymorphisms of the cyclic AMP responsive element binding protein or haplotypes constituted by the gene polymorphisms. Herein, with regard to the types of a gene polymorphism and a haplotype constituted by the gene polymorphism that can be applied to the above-described evaluation of the high or low expression level of a CREB1 gene, the same gene polymorphisms and haplotypes as those that can be applied to the above-described method for evaluating drug sensitivity and disease vulnerability can be used. Moreover, with regard to oligonucleotides used for the above described evaluation of the high or low expression level of a CREB1 gene as well, the same oligonucleotides as those used for the above-described method for evaluating drug sensitivity and disease vulnerability can be used.


2. Gene Polymorphism of Cyclic AMP Responsive Element Binding Protein Gene


The human cyclic AMP responsive element binding protein gene polymorphisms of the present invention mainly include single nucleotide polymorphisms (hereinafter also referred to as “SNP”), however it is not limited to this, and insertion polymorphisms, deletion polymorphisms, and nucleotide repeat polymorphisms can also be included.


The single nucleotide polymorphism [SNP (SNPs)] means a gene polymorphism caused by substitution of a specific one nucleotide of a gene with another nucleotide. The insertion/deletion polymorphism means a gene polymorphism caused by deletion/insertion of one or more nucleotides.


Further, the nucleotide repeat polymorphism means a gene polymorphism caused by a difference in the number of repeats of nucleotide sequence. The nucleotide repeat polymorphism is divided into a microsatellite polymorphism (the number of nucleotides: about 2 to 4 nucleotides) and a VNTR (variable number of tandem repeat) polymorphism (repeated nucleotides: several to several tens of nucleotides) according to the difference in the number of repeated nucleotides, and the number of repeats varies depending on individuals.


The information of human cyclic AMP responsive element binding protein gene polymorphisms (SNPs in the CREB1 subtype gene, the CREB3 subtype gene, the CREB5 subtype gene and the ATF2 subtype gene observed on the genome of Japanese healthy subjects) elucidated by the present invention is shown in Table 5 and Table 6. The gene polymorphisms shown in Table 5 and Table 6 include the cyclic AMP responsive element binding protein gene polymorphisms of the present invention.











TABLE 5







CREB1 gene polymorphism
CREB3 gene polymorphism
ATF2 gene polymorphism
















Gene


Gene


Gene




polymorphism
Major allele:

polymorphism
Major allele:

polymorphism
Major allele:


Position
name
minor allele
Position
name
minor allele
Position
name
minor allele





5′ Flanking
rs16839837
C:T
5′ Flanking
rs1243872
G:T
5′ Flanking
rs268174
C:T


region
rs2360969
C:T
region
rs2145925
C:T
region
rs13030474
G:T



rs10932200
A:C

rs2025126
G:A

rs268237
C:T



rs225326
G:A

rs1885373
T:C

rs1982235
T:G


Intron
rs2551640
A:G

rs1885374
A:C

rs10497435
T:C



rs11904814
T:G

GA007473
T:C

rs268231
C:A



rs16839883
A:G

rs2295794
T:C

rs268230
A:C



rs6740584
C:T

rs4879926
T:C

rs268229
G:A



rs3770704
T:C

GA007477
C:T

rs268228
A;G



rs2254137
A:C

rs867194
T:C

rs166531
T:C



rs2551645
T:C

rs11541908
C:T

rs268214
T:C


3′ Flanking
rs2551946
C:A

rs741917
C:T
Exon
rs10497434
T:C


region
rs4234080
C:A

rs7862485
G:A
Intron
rs11888507
C:T



rs2952768
T:C

rs2756894
C:A

rs13388308
C:T



rs2709386
G:A

rs2249250
T:G

rs3755490
T:C



rs7591784
G:A

rs2295795
G:A

rs7578569
G:A



rs7594560
T:C

rs877365
T:C

rs7566401
C:A






rs2737273
G:A

rs1153676
C:A






rs2295797
T:C

rs1205399
A:C






rs2295798
C:T

rs2072538
C:T






rs1534847
A:G

rs212361
A:G






rs7873822
G:T

rs212360
T:C






rs2737274
G:A

rs1153685
A:G






rs10972567
A:C

rs12693057
G:A






rs3763630
C:T

rs212347
T:C





Intron
rs10814274
C:T

rs212349
T:C





3′ Flanking
rs3750434
G:A

rs3845744
A:G





region
rs1570246
G:T

rs2302663
G:A






GA025684
G:C
3′ Flanking
rs35507277
T:G






rs1570248
T:C
region
rs1153699
G:T






rs1570249
G:A

rs1153700
C:G






rs34478611
G:A

rs7583431
A:C






rs1322045
A:G

rs1153702
T:C






rs1951432
G:A

rs1153711
T:G






GA025887
A:T









rs1081425
A:G









rs10758320
T:C









rs4878628
C:T









rs10758321
G:A









rs10758322
C:T


















TABLE 6







CREB5 gene polymorphism
CREB5 gene polymorphism
CREB5 gene polymorphism
















Gene


Gene


Gene




polymorphism
Major allele:

polymorphism
Major allele:

polymorphism
Major allele:


Position
name
minor allele
Position
name
minor allele
Position
name
minor allele





5′
rs4722778
C:G
Intron
rs177576
T:C
Intron
rs41320
C:T


Flanking
rs177479
T:C

rs177578
G:A

rs41321
A:G


region
rs177480
A:G

rs13437706
C:T

rs41322
A:G



rs11981754
A:G

rs177580
C:T

rs7780656
G:T



rs177486
G:A

rs177581
C:T

rs41327
A:G



rs177498
C:T

rs12666636
C:A

rs42322
T:C



rs849322
A:G

rs177584
G:A

rs41333
A:G



rs177505
T:G

rs177585
C:T

rs9655280
A:G



rs2175738
G:A

rs177588
G:A

rs9655281
G:A


Intron
rs4719932
A:C

rs6462088
G:A

rs4719945
A:G



rs10258745
C:T

rs7796539
C:T

rs6945988
A:G



rs1013900
G:T

rs1859020
A:G

rs10258405
T:G



rs6955393
G:A

rs1011384
A:G

rs10243376
G:A



rs6953880
A:G

rs6462090
G:T

rs41334
T:C



rs17156573
T:C

rs12671247
T:C

rs10245004
C:T



rs6960209
C:T

rs217508
T:C

rs41339
G:T



rs17156577
T:C

rs4719936
G:T

rs982947
C:T



rs7811922
A:C

rs217509
G:T

rs982950
A:G



rs6973453
T:C

rs217510
T:C

rs16874653
A:G



rs17156579
C:T

rs17718257
G:A

rs41346
G:T



rs1073298
T:C

rs149591
C:A

rs41348
A:G



rs6961801
C:T

rs1910553
C:A

rs9969149
C:T



rs6977728
C:A

rs217517
G:A

rs6968464
G:A



rs6978238
C:T

rs217519
G:A

rs886816
G:A



rs13230543
C:A

rs2391668
T:G

rs757980
A:G



rs12673465
A:G

rs4722804
G:T

rs41351
G:A



rs10251129
T:C

rs618776
A:G

rs9691873
A:C



rs2391656
T:C

rs217503
C:T

rs17157048
A:C



rs6971345
A:G

rs217513
C:T

rs6462098
T:C



rs17156603
A:G

rs65264
C:T

rs10951201
C:A



rs7806362
C:A

rs441355
G:T

rs13311248
G:C



rs17642145
T:C

rs2391670
C:T

rs12540480
T:C



rs10229500
C:T

rs2391671
A:G

rs10265166
G:T



rs10243659
C:A

rs216708
A:G

rs7798774
T:C



rs4722785
G:A

rs11980665
C:T

rs7799246
T:C



rs16874503
C:T

rs11980669
C:T

rs6972081
T:C



rs11772815
G:A

rs11984308
T:C

rs7777929
T:C



rs6958133
G:A

rs160346
G:A

rs12533079
T:G



rs16874525
C:T

rs150607
A:G

rs7806547
G:A



rs17715174
G:C

rs177594
G:A

rs6462100
G:A



rs10242868
T:G

rs6969064
A:G

rs6979352
C:T



rs12700884
G:A

rs150610
A:G

rs6950574
A:G



rs17156635
G:A

rs216715
T:C

rs4722835
A:C



rs10239606
C:T

rs10951197
T:C

rs9649352
A:G



rs16874528
G:A

rs12539927
A:G

rs879593
A:C



rs7799687
C:A

rs216720
A:G

rs879591
G:T



rs714218
G:A

rs17156823
G:A

rs2299110
C:T



rs1860759
A:G

rs2078980
G:A

rs2237349
C:T



rs997908
G:A

rs216730
T:G

rs2066979
T:C



rs12112050
C:T

rs13228899
G:T

rs10486589
A:G



rs2191827
A:G

rs160335
G:A

rs10486591
G:A



rs4498447
T:C

rs10951200
G:A

rs6462103
C:T



rs10254657
G:A

rs10486588
G:A

rs721993
C:T



rs6953524
C:T

rs216735
G:A

rs2237351
T:C



rs10239810
A:G

rs216737
C:T

rs740315
G:A



rs17156649
G:A

rs216743
G:A

rs2237353
A:C



rs1811248
T:G

rs216744
A:G

rs2073537
T:C



rs887623
T:C

rs216747
C:T

rs4722844
G:T



rs740988
A:G

rs1976489
A:G

rs17730621
C:T



rs7794304
T:C

rs150613
C:T

rs2282907
G:A



rs42694
A:G

rs17156878
G:A

rs10238623
G:A



rs6952227
G:A

rs767834
C:G

rs2299116
C:A



rs42695
C:T

rs4722820
G:A

rs2299117
T:C



rs1029897
T:C

rs160337
C:A

rs2237355
A:G



rs42699
A:C

rs160338
G:A

rs2237360
T:G



rs4722793
C:A

rs1008262
T:C

rs2237361
T:C



rs735101
T:C

rs310353
G:A

rs2237362
T:C



rs10233653
G:A

rs310359
T:C

rs7791555
G:T



rs6955105
G:A

rs310361
C:T

rs2237364
A:G



rs2286841
C:A

rs13233942
A:G

rs2282909
T:G



rs979915
C:T

rs310338
T:C

rs2282910
C:T



rs7794347
C:T

rs41273
G:A

rs2282911
T:C



rs16874562
G:T

rs1637457
A:G

rs1544470
A:G



rs17156685
A:G

rs17156919
G:A

rs1964240
A:C



rs174024
C:T

rs41276
A:G

rs17669844
T:C



rs6949786
G:A

rs160375
A:G

rs886750
A:G



rs7793437
A:G

rs917275
A:G

rs12531253
G:A



rs3757677
T:C

rs160342
A:G

rs10951205
A:G



rs6462085
T:G

rs160343
T:C
Exon
rs2190305
A:G



rs17717216
T:C

rs41295
C:T

rs3735566
G:A



rs17156694
G:A

rs160357
A:G
3′
rs11975539
G:A



rs17156699
A:G

rs41298
G:A
Flanking
rs6462107
C:T



rs177572
T:C

rs41305
G:A
region
rs2190306
T:C



rs177573
T:C

rs41307
C:T

rs4719955
T:C



rs6977204
A:G

rs10228740
A:G

rs10228137
C:A



rs177574
A:G

rs3888613
G:A









In Table 5 and Table 6, “CREB1” (italic form) indicates a CREB1 subtype gene (a CREB1 gene as a subtype of the cyclic AMP responsive element binding protein (CREB) gene), “CREB3” (italic form) indicates a CREB3 subtype gene (a CREB3 gene as a subtype of the CREB gene), “CREB5” (italic form) indicates a CREB5 subtype gene (a CREB5 gene as a subtype of the CREB gene), and “ATF2” (italic form) indicates an ATF2 subtype gene (an ATF2 gene that is an alias of a CREB2 gene as a subtype of the CREB gene).


“Position” means a position on the genome of a cyclic AMP responsive element binding protein gene, and indicates a 5′ flanking region, a 3′ flanking region, intron, and exon.


“Gene polymorphism name” is the name of SNP at a position on the genome, and it has been registered in the dbSNP database (which is accessible from the NCBI website dbSNP Short Genetic Variations) (the same shall apply in the present specification). Basically, the ID “rs” is given before four or more digit numbers, so that the type of SNP can be identified.


“Major allele” indicates an allele occurring in the majority of the genomes of Japanese healthy subjects, and “minor allele” indicates an allele occurring in the minority of the genomes of Japanese healthy subjects.


In the present invention, a method of obtaining gene polymorphism information is as follows, for example.


(1) Genomic DNA is purified from a blood specimen collected from a human using the phenol method and the like. At this time, a commercially available genomic DNA extraction kit such as GFX Genomic Blood DNA Purification Kit (manufactured by GE Healthcare Bio-Sciences KK) or a device may be used.


(2) Then, the obtained genomic DNA is dissolved in TF buffer (10 mM Tris-HCl, 1 mM EDTA, pH 8.0) and the concentration of the obtained solution is adjusted to 100 ng/μl.


(3) Total genome genotyping is carried out by an infinium assay II method or the like, using iScan system (manufactured by Illumina, San Diego, Calif.), in accordance with the protocols provided by the manufacturer.


(4) Total genome genotyping data are analyzed using BeadStudio Genotyping module v3.3.7 (Illumina) or the like, and the quality of gene polymorphism data of each sample is evaluated (quality control).


(5) Based on these total genome genotyping data, gene polymorphism included in the gene regions and flanking regions of a gene of interest are selected, using the annotation information of the name of the gene of interest as a key, and all information regarding such gene polymorphisms is extracted using an output function of BeadStudio Genotyping module v3.3.7 (Illumina) or the like.


The present invention provides an oligonucleotide, which contains any one of CREB1 subtype gene polymorphisms (rs16839837, rs2360969, rs10932200, rs2253206, rs2551640, rs11904814, rs16839883, rs6740584, rs3770704, rs2254137, rs2551645, rs2551946, rs4234080, rs2952768, rs2709386, rs7591784 and rs7594560), CREB3 subtype gene polymorphisms (rs1243872, rs2145925, rs2025126, rs1885373, rs1885374, GA007473, rs2295794, rs4879926, GA007477, rs867194, rs11541908, rs741917, rs7862485, rs2756894, rs2249250, rs2295795, rs877365, rs2737273, rs2295797, rs2295798, rs1534847, rs7873822, rs2737274, rs10972567, rs3763630, rs10814274, rs3750434, rs1570246, GA025684, rs1570248, rs1570249, rs34478611, rs1322045, rs1951432, GA025687, rs10814275, rs10758320, rs4878628, rs10758321 and rs10758322), CREB5 subtype gene polymorphisms (rs4722778, rs177479, rs177480, rs11981754, rs177486, rs177498, rs2175738, rs17156579, rs17156603, rs17642145, rs10229500, rs10243659, rs4722785, rs16874503, rs11772815, rs6958133, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs7794304, rs6952227, rs42695, rs1029897, rs4722793, rs10233653, rs6955105, rs17156685, rs17156694, rs17156699, rs177572, rs177573, rs177574, rs177576, rs13437706, rs177580, rs177581, rs12666636, rs177584, rs177585, rs216715, rs10951197, rs160335, rs1008262, rs310353, rs310359, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs917275, rs41348, rs886816, rs17157048, rs6462098, rs10951201, rs13311248, rs12540480, rs10265166, rs7798774, rs7799246, rs6972081, rs12533079, rs7806547, rs6462100, rs6979352, rs6950574, rs4722835, rs2066979, rs10486591, rs721993, rs2237351, rs3735566, rs11975539, rs6462107, rs2190306, rs4719955 and rs10228137), and ATF2 subtype gene polymorphisms (rs1153711, rs1153702, rs7583431, rs1153699, rs2302663, rs3845744, rs212349, rs212347, rs12693057, rs1153685, rs212360, rs212361, rs2072538, rs1205399, rs1153676, rs7566401, rs7578569, rs3755490, rs13388308, rs11888507, rs10497434, rs268214, rs166531, rs268228, rs268229, rs268230, rs268231, rs10497435, rs1982235, rs268237, rs13030474 and rs268174), and which is capable of being specifically hybridized to a DNA fragment containing a gene polymorphism of the cyclic AMP responsive element binding protein gene. The gene polymorphic site is the 51st nucleotide in the nucleotide sequence represented by any one of SEQ ID NOS: 1 to 172.


It is preferred that the oligonucleotide of the present invention has at least 10 nucleotides, preferably 10 to 150 nucleotides, more preferably 10 to 45 nucleotides, further more preferably 14 to 25 nucleotides.


Examples of the oligonucleotide of the present invention include oligonucleotides having a nucleotide sequence represented by any one of SEQ ID NOS: 1 to 172 containing the above-mentioned gene polymorphism of the cyclic AMP responsive element binding protein gene or a nucleotide sequence complementary to the nucleotide sequence (Tables 7 to 10).


The oligonucleotides of the present invention can be used as a probe or a primer specific to a cyclic AMP responsive element binding protein gene in the detection of cyclic AMP responsive element binding protein gene polymorphism described in the below-mentioned 6.













TABLE 7







Gene






polymorphism

SEQ ID


Gene name
Position
name
Sequence
NO:







CREB1
5′ Flanking region
rs16839837
ATTTAAAGAAGACCAGCAGAAAAATATTTATGAACTTATTTTCAACTTGT
 1





[T/C]






CCCATTTTTGAACTTTTTTATCAGTGAAGAAATGGAAACATTTTTTCAAT








rs2360969
ATGAAAAATTGGGGATGAGGGCCAGTCATCTGTATTTCAACAAGTCTTGC
 2





[T/C]






GGTGATTCCGATGCACGCCATAGCGTGAGAACCAGTATAGCAATAAAACC








rs10932200
AATAGGGAGAGCAAAAGAGCAAAGAGGTGGTTGTTCGGTGATCAATTTCC
 3





[A/C]






CCAGAGTAGTAAGGAAAGGCCTCACAGAAACAGGAGCATTTGAGCAAAGA








rs2253206
ACAAATAATGAGAAGTAGGAATTGGAAAAGAAAGTGATAACTTACAGTTA
 4





[A/C]






GTAGGAGGAATGGGTGACAGAAAAAAATTCCAGGGGAAGGGAAGGGCATG







Intron
ts2251640
TTATAATACCTTATACAGTGCCTGCCCATCACTTGACTCTTATGGGTTCA
 5





[A/C]






CATAGGAGTCAGCATGCAGCAAATTCAAGCTTTACTTCTGGGACTTGGGG








rs11904814
AAGATAGTGTTGTGCATGTAAAGATCTAAGAACTTGATATTTCTATGAAA
 6





[T/G]






CACAATGACTGAGCAATAGTCCTTTGCCTTAGTTTTTATTCCATTGAGTG








rs16839883
CGAGGGATAGTACTTAAGTTTCCAAAGGACCATATATAGGTTTAGGAAAC
 7





[A/C]






TCGAATATTACCATTGTTTTGATTGGTTCTAGTTACTTTATAGTTTATTT








rs6740584
GTACTTAAGTTTCCAAAGGACCATATATAGGTTTAGGAAACATCGAATAT
 8





[T/C]






ACCATTGTTTTGATTGGTTCTAGTTACTTTATAGTTTATTTTAAAATTTC








rs3770704
AAAATTTAATTTAAAAATTAGATGATTTATTTGGAAGAAGCATTTTTAGA
 9





[T/C]






AGGTGGCAATATCCTCTCTAGACAATTCTCCCTGTAGGGGTCAAGCTTTT








rs2254137
AAACCTTTAACTTAAAATTAGAAGGAAGTGTGATGAAGAAGTCTCAACCA
10





[A/C]






AGGCTGAGTAGTAATATTTAAGACAACACTGCTTACTAAAGAAAAGAGTT








rs2551645
AGGTCATATGTACTAAAACAGTTTATCCAAAAAGGGCTTTCTAAGACACA
11





[T/C]






TATTTTCAAACTCAAAAGTCAAAAACAAAGAAAAAATTCTTATGGAACCA







3′ Flanking region
rs2551946
GTGTTTATGTAATACATATATAATCACTGAAAAATTACTGAATTGTATGA
12





[A/C]






AGTAATGTAAGTGAAAATACTTGTTCTTTAAGTGGTAAGTTAAAGTTGTT








rs4234080
ATTTCTGCAACCCAAATTCCGTGGTCTCCTCATAGGGCACGAGGGCCATT
13





[A/C]






CGCCTGCACCCCGCCCTCTGCTCAGACCTGCCGTGCAAAAGAATCCTGGG








rs2952768
CTCTGTCTCAAAAAAAAAAAAAATAGTGCTTTTTACTTTTATCTGAATGA
14





[T/C]






TGAAATGTCCTTTTCCCAATCCTATGATGCCTGACTGCAAAATAATGGTA








rs2709386
AACACTGACTTCCTATCACTGACTGTAAATATACAACTGATACATTATCA
15





[A/G]






TTTTCTTGTTATCTTTAACGTGAAAGCAGTATAGAGAGAGTGTGTTCAAA








rs7591784
CTGGCTGTCCAGTCCCCACTCCACACCACAGAGCAACACCTAGCCAAAGA
16





[A/G]






GGTAGGTAAGAAAAGCTAAACACCCAGGGATATGAAACCAGCCTTCACAG








rs7594560
TGGCAATTTTTGAATAAAAAGATTAACTACTAATTCTGAGGCAGTGGAGA
17





[T/C]






TGAGGAGAATAAGAAAGATGGCCAGCACTGCTTGCTTCTCTGGCTGTCCA




















TABLE 8







Gene






polymorphism

SEQ ID


Gene name
Position
name
Sequence
NO:







Gene name
5′
rs1243872
AGTCCTCCTGTTCCCTGTGAGAGCACTTCAAGTGCTGGGGCCAGGTCTGA
18



Flanking

[T/G]




region

GCAGCTCTGATTCCTACACAGCAAAGCCTGGCCCAGGTAAGGGGATGGGA






Gene name

rs2145925
GGAGACGCGGTGTGTGTAGGGGCGCTACTAAGATTTGGAGGCTACTGGGA
19





[T/C]






GGAAGCGGAATAACATAAAAGGGACAGTACAGTCAAGGGTACTGGTGGGA






Gene name

rs2025126
GTTGCCAACCTAAGACGACTGTCAGAGAGTCCATGCATTATGGACAGAGT
20





[A/G]






GCTGGATGGGGACGTGGAAGCACACAGCATCCACCTCTCTGACTGCCTCT






Gene name

rs1885373
CCCCCTCTAACAATAAATTCTCACACCTGGGTCAAGCTCTTCACTTTTAG
21





[T/C]






GCTACCCTAGGCAGGAGTGTCCCAACCCAATCAAGAGCGGTGCCTACCCG






Gene name

rs1885374
AATGTCCTGGTAGCCACAAGGAACTGTGGTAGCTGCTGTCCCAGCAGCAG
22





[A/C]






AGAACGACACTTTGTGAGGCTTAGGTGCTGGCCAGGGAGGTGAGGATAAC






Gene name

GA007473
GATAGTATCAAAAAACGGTGAAGAGAGCTGATGAGGCTGTGGGGACTGGC
23





[T/C]






GGAAGCTGCTGGCAGGGTGGAGTGGGCTGGGGCCCCGGCAGATTCAGATC






Gene name

rs2295794
AGCTTTAGGCCCCGCAGATCCCTACAGTTTCTCTCCCACTATGTTCTGGC
24





[T/C]






CAAAGCTGCCTCACGGAAATGCCTCAAGGATTTCTACCTTGCAAGCCCGA






Gene name

rs4879926
GAACTTGGACTTTTACATAATATGTGAAAGTCATAAAATATTTTGATGTA
25





[T/C]






GGGTTCAATCTGCAAACATTTATTAAAGATCAGCTAGGTGGCAGATTCTA






Gene name

GA007477
CTCCCAGCTGCGTTTTGCACCAGGACCTTGGTGTCCTCCACCAGCACCTT
26





[T/C]






GCAGTCTTCAGGATGCCCTCCCTGAGGGAGGGCCCAGCTTAGTCAGATCT






Gene name

rs867194
CATAACCCCATACAGGCCACATGGTAATCCACGGCCCTCTGATTCCCACA
27





[T/C]






TCAAGCATAAAGTGCTCCTCCCCTTCTCCCCACTGTGCTTAACACAATCC






Gene name

rs11541908
GTGGATTACCAAACAACTATGGTGCGGACAGCCAAGGCCATTGCAGTGAC
28





[T/C]






GTTCAGGAGATGGTGAGTTTGGGCGAGTCCCAGAGGACTGCCCTCGGAGA






Gene name

rs741917
TGCCCATCCTCCATTCTGCCACAATGTATGCCCCCCAGCCACACTGGTTC
29





[T/C]






CCATCCCTCAATACCTCATGCTTGTAATTAGCTTCTTGATGGAGTCTGAG






Gene name

rs7862485
CAGAGATACCCAAAGATGAACTGGGCATGGGAGAGGAAAGACATACTAAT
30





[A/G]






GAGAAACCATAAGAGGGCATGTGGGAGAGTAAGCTCGAACATCTACAGAG






Gene name

rs2756894
ATGTTGGGTCTTAGAGTGAAAAGTATGGCTTACTGTAAGTAGCAGTAAAA
31





[A/C]






GTTTGAGAGCCATATATAAATACACACCTTTGTGCACACAAGCAAAGCCT






Gene name

rs2249250
GAGCTTCTTGAAATGTCCCAGTGCTAGGAGGAAGCTGCAAGGTGAGAGGG
32





[T/G]






AAGTCAGACAGAAGAGTGGGGAATGATGCAGGGAGAAGTCTGGTAAAGGA






Gene name

rs2295795
CTGGCATTCTTTGACTCCTACGTTCCCCCACCCCCTACCGTCCTCCTACC
33





[A/G]






AGTCACTCAGGAGTCGCTTGCTGGCATCTCCAACTGCCCTCAGGGCATTA






Gene name

rs877365
CCAGCTCCCATTTTCCTACCTCCCTCACAATATGCCCCATGCCTGGCTCT
34





[T/C]






TGCCCACATACCTGCATAATTCTCATTGCCCTGGGCAACCTCTCCCAGTA






Gene name

rs2737273
CCTCCCGAAGTGTTAGGATTGCAGGCATGAGCCACCACACCTGGCCTAAA
35





[A/G]






TTATTTTTTAATTGACATAATTTTACATATTCATGAGGTACATAGTGACA






Gene name

rs2295797
ATGGGGAAGAATTTAGCAAAGAGTTTCATATCACAGCTAAGGAATTAAGG
36





[T/C]






TGGATGCTAACTCTAACGAGAGAGAATTATGGGGACACTGGAAAGGTTGA






Gene name

rs2295798
TCAGATTATGCTACCTCATTTGATCCTATCAGTCCTACACGGGGCAAGTA
37





[T/C]






TGTTATCCCAAATCAGAGGTAAATAAAAGATTACAAGAATATTGAACTGA






Gene name

rs1534847
ATGTAGTTCAGTATCTCTGCCCCTACCCCCATCTCTGAAGCAAGCATGTC
38





[A/G]






CTCTTTTTTGAGATTATCTGAAGAATTTTGCTGCAGTAGCCAGAGGGAAA






Gene name

rs7873822
TTATCTGGTCAACTCTTGTGTTTTGGAGAAGGGGAAATAGACTCTGGGAG
39





[T/G]






CCAGGAAACATTTTCAAGACAGGCCAGAGAAAGGACCCAGTCCCTGTAAC






Gene name

rs2737274
TCTCACCAGAGGCTTCCGTGCTTGAGGAGGAAGGGGGTGTCTAAGTGTCC
40





[A/G]






GAGGAAATGGGGGGAGACATGCAGTTTCAGCTTAGTGTGAAGGGTCCTTT






Gene name

rs10972567
ACAAGTATGAGTAGAAGCTAGCTCATTCCTCCTTTGGCCTGAGAACTTTG
41





[A/C]






TCCCTTTTCCATTGTGTTTGATGGAACAGCAACTCCCCACTGCCGTGTCC






Gene name

rs3763630
GGTCCCTATTTCCCACCTATGTTGTCTGTAAACAACACAGTCCAGAATCT
42





[T/C]






TGTCCCCTAACTGTGGTGGCCACAGCAAGGGCCTTGGGCTTAGAGAATGG






Gene name
Intron
rs10814274
TTTTTTTAATAGTTTAAAATGGTCTGGCTTGTTAGGGTTAACACCTGGTC
43





[T/C]






GTGGAGGCATTCAGAAAGAATCTGAATGCCTGTTGGTCAGGGAAGCTGTA






Gene name
3′
rs3750434
AAGGAACATGTACCTCCCAAGATGGAAAGGATTTGGGGGTTCAGCAGAGT
44



Flanking

[A/G]




region

GGATCATCAAATGAATCCCAGTGCAAGTCTACTGACTTTGGTGGGTGGAG






Gene name

rs1570246
ATTCCAGATGCGGGCGCCGGTCGTTGTTAGGTATCGTCCCGGAGGGCCGG
45





[T/G]






CGTTGGGGAAAGCTTAAATGAGCTGGTGTTTCAGTGGAGCCGGGGAGCTC






Gene name

GA025684
TTGGCTGGGGAGGCGCTGGAGTGTGTAGTGACCGTCACCAACCCCCTTCC
46





[C/G]






CCCACGGCCACTTCTGCATCCAGGTGGGGATGCTGGCACTGAAGGTGGTG






Gene name

rs1570248
TTTAGCCATCTCATGTTAGAATCTAAAACCCTAACCTCTACTCTCATCTC
47





[T/C]






GTTCCCTCTCAGCATTACCTCTCCACTCATTCTTTCTCTAGGCCTTCAGG






Gene name

rs1570249
GAGGGTGTAATGGATCCTGATTCCTTATACACACTCCCAGACATACCCAC
48





[A/G]






TCTAGCCTCTGACCCGGAACAGTTTCTCAGACCTTCAACCTCTTCCTGTT






Gene name

rs34478611
AGTACGCACTATCCCCGTATTTAGTTTGTCTTTCCTGTTTCACAGCTGGA
49





[A/G]






GAAGCCTGGGTATTTTGACACGGGATCATCTGTAAGGCCCCATCCTCCCT






Gene name

rs1322045
TGGAGGGGGCACTGGACTGGGCACTTCCCCAGCAAGGAGGCAGGAGGGGC
50





[A/G]






AGGGCCCCCAGGTGGTCCCCAGATCTCTTCCCTGACCTGGAGAGAAGGAA






Gene name

rs1951432
CTGGCGCGCAGGTCCCGGAGGGGGCGGCTGGCGCGCACTACACGCTTGGG
51





[A/G]






ACAAGGAAAACATCCGCCGGAGGCCCGGCCGGGCGGCGCTCCAGCCTCGG






Gene name

GA025687
GTCGTGGTGTCGCTACGGGCGCGAAACGGACACTGAACACAGTCTGACTG
52





[A/T]






ATGGAGGCAGGTGGGGAGGGATCCCCTGGGAGAACTTGGCGGGCCGAGAG






Gene name

rs10814275
TGCATTGCCTTTGGTCCCAAACAAGCAAATCTGGGTCAATTAATGAAAAA
53





[A/G]






AAAAGAAAAGAAAAGAAAATGTCTTACTTTGGGCCCTGTTGCACTCTCCC






Gene name

rs10758320
TTGGATAACAAATTAACCTCCATTTCCACTGGACAGAGAACTCATTCTTC
54





[T/C]






GGTATGTTTCAGAAGGCTAATGGAGCAAGGATAACCTTATATTACTAATG






Gene name

rs4878628
TGGCTAGTGTTTTTTGTATCCTGCATAAGAAATCTTCCCTTACACCAGGT
55





[T/C]






ACAAAGATTTTTTTCCTACATTTTCTCCTATATCTAAAAGTTTTATGATT






Gene name

rs10758321
AGACATCATTAAATTCATCATGGCATTCTTTCTTGCTGAGCCTGGACATA
56





[A/G]






CCTGGTAAGACTAGAACTAGATAATAGGAAAAGAAATGTAGACATTAAGT






Gene name

rs10758322
TGGGAGAGGCTGGCATCAAATTACTCCTCTGTTTTTCTCTCTTGGTGACC
57





[T/C]






AGCAGGTGTTTAGGACAATGACGACTACTCATGTGGAACCTTTGCAGTCA




















TABLE 9







Gene




Gene

polymorphism

SEQ


name
Position
name
Sequence
ID NO:







CREB5
5′
rs4722778
AATCACCATTTTATGTGAA
58



Flanking

CAAATTGAAGTCTTTATAG




region

CATTCTTAATTT






[C/G]






GTTTCTGAAAGACATTTA






GATAATTGGGCAATTTAC






AAAAGAGTATGTTC








rs177479
CAAGTTTCATCCACGTTG
59





TAGCGTGTATCAAAACTT






CAATTAATATTCTT






[T/C]






TATATGGGTATGTTACATT






TTGTTTATCCATTCATCAG






TTGGTAGACATG








rs177480
GCTGCTGTGGACATTTGC
60





ATACAAGTTTTTTTGTGTG






GAAATATGTTTTC






[A/G]






ATTCTCTTGGGAATATAC






CTAGGACTGGAATGGGTC






ATTTGGAAACTACG








rs11981754
ATTCAAAAATAACAGGATT
61





GTGAAATATCCAACTAAA






ATCATATTTGAAA






[A/G]






TGGTCCAGGAATCCCCAA






ATAACTTTTATGCATGTTA






TATGAAGATAAAT








rs177486
CCTTCCTTTCAGCATGCA
62





GAATTGAACTTGGCTCTG






AAGTAAAACAATAC






[A/G]






GGTTTTTGAGTGATCCAG






CAGCTGTTCTACTTTGGT






GAGAGTTTTCTTCT








rs177498
GTCCTCAATTACATCTTTG
63





TGAGAATCAAATGTGATA






AGGCATAACACTC






[T/C]






TGGCATGGTGGCTTTAGA






TATTAACAACTCTTGCTAT






GTTGGTTGTGCTT








rs2175738
ATTAGTTTCTGGCTATTGC
64





AGCTAATTCTCGGGTAAA






GAATTTGAATGGC






[A/G]






TTCTAGTATTGCATTTTAC






CTAGACTACACTGTTACA






GAATTGTGTGTAG







Intron
rs17156579
TATCACAGGGTTCTTTGTT
65





GGCTATTTATTGACCCAT






CTTCTCTCAGGCA






[T/C]






GTATATTCTCTGGGCAAG






TATAGACTCACAAGTGCC






TGGAGTCCCTCCTC








rs17156603
ATCAGTACATCAAACAAC
66





TCAATTAACAAATGCTTGC






ATCTGCAATGTTC






[A/G]






TTATAATACAGCATCATAG






TTGCAGAATTAAAATGGC






AAGATTATAAAAC








rs17642145
GGAAGTAGGACCACCATC
67





GGCCCATACAACTTAAGT






CCAATATATAGACT






[T/C]






TTAACCTATGTCAGTGTG






AATAGTTGCCTGCTTGAC






CAGGGACTTTAATT








rs10229500
TCCAGTCAGATGACTATT
68





TGTTCAAATATTTATTCTA






CTACATGACACAC






[T/C]






GTGCTGGACACTTCAGAG






ATAGCTGTGAGTTTTGCT






TCCTGTGTGGTAGC








rs10243659
GTGGGATGCAGGACAAA
69





GTGTTTACTTTTGTCTTTC






AGAGTCAAAATGGG






[A/C]






AAGGTTAACACAAGGAGT






AAACTAAGAAAATATATCC






ATATCCATATTCA








rs4722785
AACTGGCTTCAGCCAATT
70





ACTATACCTGTTTCCTCTG






GCTATAGTGATTG






[A/G]






TTCAGGGAGAGGCCCTTA






ATCTAGTAGCTGTTGAGA






TGGAAAAAAAAACA








rs16874503
GAGATAGTTCCTATTCAG
71





GACACACACCCAGTGCTT






GCAGATCCATACTG






[T/C]






TAGACTACGTGAAGGAGG






AAGAAAGATGTTTGCAAA






GGAGCCAAGGGGGA








rs11772815
ATCCATACTGCTAGACTA
72





CGTGAAGGAGGAAGAAA






GATGTTTGCAAAGGA






[A/G]






CCAAGGGGGAAAGCAGG






TTGCCTGCACCAAGATCA






GACTGTCTCTTGTGT








rs6958133
GATGTTTGCAAAGGAGCC
73





AAGGGGGAAAGCAGGTT






GCCTGCACCAAGATC






[A/G]






GACTGTCTCTTGTGTTCTT






TGATAACTCTGAGATTTTC






CTTTCCTATTCC








rs16874525
CTTTCTTCCCATCTATTAA
74





TGAGCATGAACTACATCC






TGGCCTTTAATCA






[T/C]






TGATATCATTTCATATATA






CTTTTTCATTATCCTCATC






TCTCCTTTGCTT








rs17715174
CATTTTTCATAGAGTCTTT
75





GGCATTGGGTTGGACAAT






GATGGAAATTAGT






[C/G]






AGTTTTACTCAGACAAGG






TCCCTTCCTTTGAGGAAT






TTATCCTCCATAAT








rs6953524
TGGTATTTCCAGGGAAGA
76





ATACATTAGTAATGCAGG






CTTGGGTAACCACT






[T/C]






GCAGCTCACCTCACTACT






GAGCAATGACGTGGAATT






GGAGCTGGTATCAC








rs10239810
ATCAGAGCCTGAGCCAAT
77





AATATGAGCTGTCTTCTT






GGATAGCTTGGGCT






[A/G]






GGCTCCACAACAGAAGAA






GCTGGGGCAAATTGGCTC






TGTTGCTGAGACCT








rs17156649
TTCTGGCAGTGTGAACTT
78





CAATGGCCCACATAATTT






TTTTGACCTAATGT






[A/G]






TAAACATTTTACCTCATGT






GTAGAAATAGGGACAATG






GTACTACCTCGTG








rs1811248
ATCCTCATTTTAAAGGGA
79





AGGAAACCAATGAGAGTG






AAATTTAAGAAACA






[T/G]






ATCAGATTATTGGGAAAT






GGAGTATTCTTCCCAGAG






CTCCTCAAAATATC








rs887623
GAGTACCCCTTAACTCAG
80





TGAGGTAGACACCCAAAA






GCAACCATCCTGCA






[T/C]






TTTTTTCCGTGAGCATTAA






TAAAGTCTATTGTTCATTG






TAGAATGTTCTG








rs740988
TCCCATCTTTCTCACCATT
81





AACATGTACACATTATGC






CTAACACGAATCC






[A/G]






CCAATCCCTTGCAGCCAC






TGGCATGCTCATTGGTCT






CTGCCTCCAGACCC








rs7794304
TCCTTGCTTACTTCTTTCT
82





CAATCACGCATAATGCCT






CAACTCTTAGAGC






[T/C]






GGCATTTGTTGTATCAGT






CCTAATAACTCTTGAGGT






ATCTCTGAAATCAG








rs6952227
TAAAGACTTGGAAAGTGT
83





CACATTGTAGTACAGTGG






GGTTTTCTCCTGAT






[A/G]






GCTACAATTTACATGCCA






GGAGCCCTGTAAGCCCTC






TAGCATTTTCTTGA








rs42695
CATAATTTTATCAAAATTT
84





TTTTCACATACGTTGGCAT






GGTCTTCAGACC






[T/C]






GTGGTAATAATCACACCT






CTCTTAACGGGTGGCGTG






CTGATCAAATAAGT








rs1029897
CTGTTGAGTGTTCAAGTC
85





TGATTTGGCTTCACCAAG






AATAGAACAATGTT






[T/C]






CTAAAAAGTTTGTCATGAA






GAGAAGCCCATTTAGAAA






TTCATCCTCTAAC








rs4722793
GGGAGGTGTATTAACTTT
86





TGCCTATGGAGCTAGTAA






CAGGTAGAACCGGG






[A/C]






TTCTTTTTTTTCATCATTTT






TTATTATGTAAAATATATA






TAACAAAATTT








rs10233653
AAGTTCAGAGTAACTTCC
87





CAGATTTTAAATATTCTGT






GTCATGTAAGAAC






[A/G]






AGGAGGAATCGCTGATCA






ATTAGGTTTAAAAGCTACT






GAAATTCTCAAGA








rs6955105
CGGCTGTCAAATCTCTTG
88





CTGTCTGCTGCCTTTCCT






CTCAGCATGTGAGC






[A/G]






TGGAGCTGGGGGTCTGG






TGGATCCTGTCAATCATA






TGTCTGTGGGCAGCA








rs17156685
TTTATCATATGTATCTCCA
89





GCTTGCACCTCTCTCCTT






GGCAATGGCCTTC






[A/G]






CTGCACCTTTGACATTTTC






CAACTGCGCCTTTGACAT






TTTCCTCTAGATG








rs17156694
CTCAGACTTTCTTTGATG
90





GAGCCAGCCTCCTTGAAA






GCAGTTATTTTTAG






[A/G]






TGTTCCAACAGCCATCTA






TCTTACAAAAGGATTTTCT






CTTCAGATAGGCT








rs17156699
AGAGGAGCTCAGTCAATG
91





GTGAGATCGAATCTTTGG






ACCTCCTTTGGACC






[A/G]






CCGGAATGAAATCACACG






TTCCCTACAATAACAAGA






GAAGCTGTTATTTT








rs177572
CTCACCTTATTTCCATGAT
92





GCTTGGTTGTCAGTGAAC






GCAGATATTGGAG






[T/C]






TAAGGCCAGTGTTTGTCC






CAGGGCCCCAGATCCAA






CTGGAGTGAATATTA








rs177573
TTTCTATGGGTGCTATTAA
93





GCATATAAAATTTTTTTTC






AAAAGGACTGAG






[T/C]






TGAGTTGGTATGCCACTG






TGAACAGTAACTTCATCA






CTTGGAAGATCCGA








rs177574
ATTTCCTCATGGTAGCATT
94





TGAACCAAGCCTTTAAGT






AGAACAAGATTTT






[A/G]






CTAAACATAGAAGGCAGA






AAGGGCACTGCTGACTAG






CTATTTGAAGAAAA








rs177576
TCATTGGTGGATCTGGAG
95





AGTAGCTGACCTGAAAAC






AGTCTTCATCTTTC






[T/C]






GCCAAAATAATTTTAACAC






TTAAAAAAAATTTTTTTGA






GAAGGTACTAGA








rs13437706
CTGAGACACAGTGGGCCT
96





TGGAAATGGCAGTTCCCA






TAGGGAGTCCTGCA






[T/C]






GAGCCATGAAGGCGAGA






AGCCAAGGCTTTGCATGC






TATGCTTTGGGTGTG








rs177580
TGCAGATCTGATGACAGT
97





ACATCCACACCCTGTCGC






TTTCCCTGCCAAGA






[T/C]






GAACTGTAGCCGTCAGAG






CCTCCATTCTGCTCCCCA






CACCCATCCAGTGA








rs177581
TGACAGTACATCCACACC
98





CTGTCGCTTTCCCTGCCA






AGACGAACTGTAGC






[T/C]






GTCAGAGCCTCCATTCTG






CTCCCCACACCCATCCAG






TGACCATCCACTAA








rs12666636
TCTTCTGCACTCCAGCCT
99





CTCCCTCTACTTCCCTCC






TTTTTGCTTCAGCC






[A/C]






GAGGCAGATGGCAGACA






TGGATACACATTTATGGA






TTGGCTGATGTGTCT








rs177584
GGGTGACGTAAGGGGGT
100 





GCAGAGATTCCCACTTG






GGTTTATGCTGGCCTC






[A/G]






TCTTTGACTGGCTCTGTC






ATGTTGCCCTTGTGGGGT






CCTGTTTTCATTAA








rs177585
TTTTGCACGGTAAATGCT
101 





TCGTAAACGTCAGCTATT






CATTAGTGAGGTGT






[T/C]






GGGGAGTTGTCGGGGGA






AGAGAGAGGAGAAAGAA






GGAAGTGAGAGGGGAG








rs216715
AAAAAGAAAGAGCCAGC
102 





CTTTAAGGAAACGGGAA






GTCAAAGCTTGTGTAA






[T/C]






GAAGCAAGACCAGACTTT






TTAAATCTACCTCCCTTA






ACCTTTATAAACAT








rs10951197
ATGGTGCTACATAGGCTG
103 





GCTTAACATCTTTTTTTGA






AATAAAAACCAAG






[T/C]






GTAAACATGAGTCAGAAT






GACAGGGCATATGCAGG






ACTCCAACATTTACT








rs160335
TGAATTTGATGCTGTTCT
104 





CTTGGTCTTTTTCACAAC






TGAAACATTGGGCC






[A/G]






TTGGTGGGACGTTCTGT






GCCTTGAAACTTTTAATA






CGTGCAGCTCCATCT








rs1008262
GTCTTCTCCCCAAGAGG
105 





CCACCTTTTTGACCAGGT






GACTCTCCTCAGTGA






[T/C]






GATATGGTGCAATTTTTA






TGAGATTTTGGGATGTGA






AGCAGCTCTGTAGA








rs310353
TGCTAACAGTGCCCTTGG
106 





GGAATGTTTGGAGGGAC






TTGATTCCAGATCAG






[A/G]






AAAGATAAACAGTGATCT






GGAGGGTCTGGTTTAGA






TGCAAGTCATATTTC








rs310359
CACCCTTTACATACCTGT
107 





GTCCCTGGATCTTCCTTT






CTCCATGGTCCTCA






[T/C]






AGCCTCTCTTCTTTTACA






CTTACCTCTCCTTGAGCT






CCCTGATGTGCCTT








rs41273
TGGTTCTGACAAGAAAAA
108 





GAAAGTATTCATATTTGG






TGGACGTGGTGGTA






[A/G]






GTAAACTACTAATTTGTA






AACATTGGAAATTTTTACT






TTAAGTGAGAGCA








rs1637457
AGCTGTTGAGCACACTC
109 





GCCTGTGGTTGACAGGA






CTCTGGCACAAGTGCC






[A/G]






TGGAGGATGATGTTAGA






GAGGTGGACACATGGGG






TCAGAAGAGGAAGGAG








rs17156919
ATTCACCGCATACATTCA
110 





CGCAAAGGGGAAAATTTA






CTGCCTAAACAGAG






[A/G]






GACCTAAATCCCCCAGG






CTAAATAAACCCAATGAA






AACACAAGAACTGCA








rs41276
TAAAAAGGTTTCTTCAAA
111 





TGAAAAATGGATGGCTGA






GCTGCTAATGGCCC






[A/G]






GTAACCTAAAAATTTAAC






TCTTCCCTAATGCTCAGG






GACCTCAGGTAAGG








rs160375
TTTTTGTCCTTTATTATTT
112 





TTTGAATTACTTTGCTTTA






TTTTTCATGTGT






[A/G]






AAAACACCATATGGTGGC






CACAGTGGGAAGCCAGG






TCCTCTGCACTAAGA








rs917275
ATAGGAGGTTAGGTATG
113 





GTTCTGACATTGCAATAT






TCTCTTCAAGTTAAC






[A/G]






GCAGGCATTTGTTACATG






CTCAGAGAATTTTATGAT






TTATAAAGAACTTT








rs41348
TTCATTTACGTTATCAACT
114 





TAATTAATTTATTTATAAA






ATTTCCATGACC






[A/G]






TAGGATGACCACGTAGAA






GTGTGGACTATGGATCAC






TAGCATCAAAATCT








rs886816
CAGGAAAGCCATCTTTAC
115 





ATCACCTCTATTTAAAGC






ACAGGGTCCCTTTT






[A/G]






CCTATGTCACTGAAAAAC






AGCAGAAGCCTGGTATCT






AGTGGATTCACCCC








rs17157048
ATGCAATCTGATTTATTTC
116 





CATGGATTCTGAGCTAGG






AATCGCAATTGGG






[A/C]






ATCTCCAGAACCAATGGG






GATTTTTGCTGTAGGACC






ATCGTTCTTTTCTG








rs6462098
TTTTCCAAAGCAGCTTAA
117 





TGTAGAACAATAGGGCCA






AGAAGGGGTTTTTT






[T/C]






GCTCTGAAAAATACCGAG






TCCCCTGCCCAAGAGCT






CCAGTGCCTCCCTCC








rs10951201
CCCCAAATACCACATTTG
118 





TTTGCAAGTAGGAATAGG






ACTGTCTGAGGAAT






[A/C]






ATTTGAGAAACTGAGCAA






GTCACTCTCTTTGGCAAC






ATGCAGGGCCACCA








rs13311248
TTGTGTGCCAAGCTCAGT
119 





GCTCTCAAATATTCTCCC






TTCAGCCTAGAAGA






[C/G]






AGACTGGTACCTGCTGTA






AGGGGTCTGGCATGGAG






AGAAAGCCGGCTTCC








rs12540480
TATTTTCTACAGCAGATC
120 





ACTCATCTCTTAAATAGA






TTATGCATTGATCG






[T/C]






CTTCAAAGGGCTAAGCAC






ACTCAAAATATTCTCTAAA






GTCATTCTCATGC








rs10265166
TCCCTAGAAAGCAAGTCA
121 





GACAGGGACAAGTCTATT






TTTTAAGAGCCCAA






[T/G]






AAGAGGAAATTTCAAAAT






CTCTATTAGCCATTTAATT






GTTTTACACTATT








rs7798774
CATCATTATCTGCCAGCC
122 





TTCTCTAATGTCTCCCCC






ATGGGCTAAAGAAG






[T/C]






CTTATTTCCTTTACTTTTC






CCATTAAGTCTTCCCTTC






CGGCTTTTTAGTA








rs7799246
TCAGCCTTGTTAGGCAAT
123 





GCCCCTTTCCTTGTTCAT






GTTTCCTTGGAGAA






[T/C]






AAGTGATCCTCTCAGCAC






GCTATCACTTTATCATTAA






GAATAGAACTTGA








rs6972081
TTGGTTAATAAATGAATC
124 





AAGCTGACTGCATGACTA






ATTCAGATTAATGG






[T/C]






GCAGAAATCAGTCACTAA






AGAAGCCAAAAAAAGTTT






GCTTTAATAGTCTT








rs12533079
GCTTGACAGTAAGATTTG
125 





GTTCGGAACATGAGCTCA






TTCACAAAAAGATA






[T/G]






GGGTAATAAGACGTCTTT






TAAAAATATGGGTCAGGC






AGCTTTCTCGTGTT








rs7806547
CTTCAAGAGTCTTTGAGA
126 





TGCCTATAGGCTCATCTG






TTCATTACAAGATG






[A/G]






TGAAATGGAGAGCCTGA






AAGTTAAGAGTCTTTTCC






CCCAGTCAATAACTT








rs6462100
CAGATCTTCTGAAGACCT
127 





GAGAAAGGACAGCAGGG






TGGAGAGACCCCTTC






[A/G]






CACCTTCCAGACGAAAG






CACTGGCCTGAGGATAG






GCTTGCCCAAGGGCAA








rs6979352
ACCCCTAGACAGGAAAA
128 





CATCCTTCGGGGGGAAA






AATGAGGACATGAAAT






[T/C]






GCTTGCTGCGGTGCCTA






TCATTCTGTTAAGGACAG






TGAAAACACAGTCTG








rs6950574
TATTCAGAATCCAAACAT
129 





ATAGGGATCTCAAATAAT






CCTTTCCCTTCTAT






[A/G]






CACTACTAATTAGCTTGA






TCGATATCATTAGGAAAT






TATTATTATAATCC








rs4722835
ACATTAAGACCGGAGGAT
130 





ATCAACAAATTTGGTTGA






CTGAGCCACATCCT






[A/C]






TACCTATCTGACTCAGTC






TATCCACCTGTGAAGGAG






ACTTTAAGACCTAG








rs2066979
TGGTGAATGAAAGGCAG
131 





TGCAGAGACTGCCTCTCT






TTTTGAGGATGTTTG






[T/C]






TACAGAGCCTTGGTGTCA






GATAATCATGTAACAAGC






ACTGGATTGGCAAG








rs10486591
GGATTCATTTTCTGAAGA
132 





ATTAAGTCAACAGACATG






GCTTCACAATGCAC






[A/G]






TATTGGATTCCTTTTGGG






GGTCAGAGCAGACTCAG






AGCTCTGAGAGGCTT








rs721993
GAGAGCCTCAGCTTCCC
133 





AGTTGCTTGCTGGACCCT






AAAGCTGTAAGAACT






[T/C]






TGTGAAACTTGAATGTTT






CTTTTTTTAACCAAGGTA






AGGAATTTAATGCC








rs2237351
GGAGGTACCTTCATCCTT
134 





GAGAAGAGAGACTTCAG






TATCTGTGGAACAAG






[T/C]






GAAGCTAGAACTTGGCAT






CGGAGCATAGTGCTGAG






CAAAGAAGCCTCTAC







Exon
rs3735566
TCTCTTAAACTCCCTCCA
135 





CTCAACACAACTGATACC






TTTCATTATCTCCT






[A/G]






TAGTGTCTGTGGCATTGG






TATTCTAAAGGAGAAAAC






TAGAATCTAATGAG







3′
rs11975539
TTGTTGTTTTTGTTGCCA
136 



Flanking

CCACAAGAGCAAAGGTAT




region

TTCCTATTTTGTTT






[A/G]






AATTTGTCACTAAGATCT






AAAACAGTGGACACACAA






TGGGCACACAACAA








rs6462107
ATGCCTCCAGGCTTATGT
137 





TCTTAGTCTAATACTCAG






CCCTTAGCTCACAA






[T/C]






GGAATCATCAATCCCAGC






AACTAGATATTGGGACAG






GGAACCTAGAGAGT








rs2190306
TTGATAACCTAGTTTAGT
138 





ATCCTATGAGTGCCTTAA






ATACAGAGGATGCT






[T/C]






AATGAAAATTTATTAGACT






GCCCGCTCAGCAGCTCA






CTGGGATTGAATAT








rs4719955
ATCTGCACATGCCAGTG
139 





GTCTGAATAACAGAAGGA






GTCCTTCCAAGGCCA






[T/C]






CCTGACCTGCAGCCATG






TTGGTGTAGGAACTGTCT






CCAGGGAGCCAAAGT








rs10228137
CTAGAAAATATCCGTCTC
140 





TTGTTCTAGCAGCCATAG






GTAAATGACAATGG






[A/C]






GACGCTACTGAAAAATCA






CAACTCGTGTGTTCTAAA






ATGACCACAAAGGG




















TABLE 10







Gene

SEQ




polymorphism

ID


Gene name
Position
name
Sequence
NO:







ATF2
5′
rs268174
ACGCGTGTATGTTTTACAATATACATCTCTCATAATATCAACTGAAGCAA
141



Flanking

[T/C]




region

ATTTAATGTTTCAGTCTACCACAGATCATTTATTTTCTAGCAAATGTCTT








rs13030474
ACATGTGAGTTGAAGTTACTCCATGAAGCCCCTAAGAATGTGCAGAAAAG
142





[T/G]






GATTGATTCAAATGGATCATTCTTTCTTTTCCATTACCTTTTTTTTTTCC








rs268237
TGGACTGACTTATATAAAAAATTAGAGAAAAATACAAATTAGTACACATT
143





[T/C]






CAGGACAAAGTTGTGTGATGCACTAAGGGAAATCGCATTAGAAAAGAGAT








rs1982235
TGAGGAGGAAGCAAGAAAGAAGCCAAGATCCACAGTGGCTGCTTCCAAGT
144





[T/G]






GCATATGGACTAGTTGCTTGTGGCAGGGAGAGACATGGGTTCCGAAATCC








rs10497435
AAATAGAGATAATTCACGTGTACTGTTCAACAAGCAATTATTCATATAGT
145





[T/C]






TCTCAAGTACTCAATTCTAACCAAGAACATGGTGTCCTGTGGTGTCTACA








rs268231
GTAATTCTAACAAATGGCTAATGGAAGTGATATCAACACGTCAACATAAA
146





[A/C]






GATTAAACATCTAGAATGCCCTGCTAAGAAGATGGCTGGGGACTGAACTC








rs268230
GAAAGAAGGGTCATTCACTACTTAACAGGAAACTAGGGTCCCCAGCAAAG
147





[A/C]






GAAGATATTTATTTCAAGGAACCTGGAAAATGGTTCCAGAAGTATGGCTA








rs268229
ACAAAAAGAAAAACTGTAGATTCACCCCGGCAGAGAGGACTAAACAGATT
148





[A/G]






ACTTTTGATATGAGTTGGCTGCAGGATAGTGGGCCTTTTTCTTCACGTTG








rs268228
CCCTGTGCCCTCCACTTACCTTCCCAGGAGGCGGCGGCGGCACGGGCTGC
149





[A/G]






GCAGAGGTCGAAGGAGTGGGACTCAATGCGCAAGCGCGGTCCGGCTCTTA








rs166531
GGTGAGCTCCGGAAAGGCTGCTAGAGGGAAAGCAGGATGGGTCCTCCGAG
150





[T/C]






CCAGCCCCAGGAGCCGGGTGTCTCCGTTTCCGTCACTTCCCAGCACTAGG








rs268214
TTCTGGAGGGGGCGGGACCAGAGGGCCCAAGGAGCGTTACTTCTGTAAAC
151





[T/C]






CGGAGCTGTGGAAGACTGTGATTGGCTGTCGGCTGGAGGAGGGCGCGGGT







Exon
rs10497434
TTCTAGCTGGTGGGCCATGAGCTTTATTTACTCTGCTTCCAGGAATACCT
152





[T/C]






AGCTGTTATCAATAAGCAGTCCTTTCTCAAGTTTCCATCTAGTACCCTTA







Intron
rs11888507
CCCCTCTTAAAGAGCTTGATCTGCCAACATTGGAGAAAAGGGCAATCCTA
153





[T/C]






ATATCCATGATCCTGACATACCTGCCTCAGGTAAACTAGGGGAGATACTG








rs13388308
TTTCCCTCCTCCTATCCCACCATGGGCTGGATTCTTCATTTCACATCCTA
154





[T/C]






AAAAACTCAGCATAATTTCCAGGTTTGAAATGGCAACTTTCTCTCTGTCT








rs3755490
AAATTGCATTTTTCATAATTTTGTTCATAAATGAAGTTTCAAGAATGTCA
155





[T/C]






GCTCAGAAAAATTTGGTAATTCTTGTGGGGAAATGTGTAACTAGCCAAAG








rs7578569
ATAAATTTGGGAAATGTTGAATGTGTAGGCTTCATTTCACAGGACTTTTC
156





[A/G]






TGACCTTAATGTTATGTCAATTAAGGATTCATAACTTTAAAAAATGCCCC








rs7566401
ATACTTTCTAAAGCTCAGTTGCACTATTGAAGAAAAAGCAGAATTTCTTG
157





[A/C]






CAAAAGTTTCCTGGGTTTTTTTTCATCCTAACTCTAAAATTTTACAGAAT








rs1153676
GAAGGTAACTGTTAATAATCCAAACAAAAGATGATGATGGTTTGGGCTTA
158





[A/C]






GTGGTGTCACTGAACACAGACATAGAGGATGAGATTCAGGTCTGATAAAA








rs1205399
GCACTCCAGCCTGAGTGACAAAGAGAAAGACTGTCCAAAAACAACAACAA
159





[A/C]






AAAAAAAGAATTACAGTCAGGTGCAGTGACTCACGCCTGTAATCCCAACA








rs2072538
TTAGGTTTTCCCTGTCCCCAGTAAGCAGATCTAGTTCTCTTTTGCTGTTG
160





[T/C]






AGGTTTGCCAGTTAATTATTGGATTGTACTGGACTCACATTCAGAGCATG








rs212361
ACAAGATACAGTTATGTAAATACCTATGCTTAGGTGGCAATCTAAAACTT
161





[A/G]






TTTATATGTGTTTCTTTGATTGAAAACTTTTGCTTTTTAATGCCAATGCT








rs212360
GAAGCTTAATTTCTGCTACTCAGAGTTACATTTGTATATTTTTATGCCTA
162





[T/C]






CAAGGATTGGAGGCTTCTTAGAAGTGTATACTGCTCCTTCTCTCCCCATG








rs1153685
CTTATTTCAGTTGCTTTTCATAATAGTACTTATTCTATCAGTTTGACGGA
163





[A/G]






AAACAAAGGCTTAGGAAGATTCTTAGTAAAAGCTTCAAATGTAAGTATTA








rs12693057
ATTAGAAGCACAGTCTCCATTTTTAAAGTAGCAGCTCAGTTCACTCTGAC
164





[A/G]






GTATTTCACTGACGTAGCCTAAGGCTATAGGTAATGGAACATTACTCACT








rs212347
TCTTATCAAAAAAGAAGGACATTACAAAAAGGAAAAGGCACAATTAACCT
165





[T/C]






TAAAATGCTGAAAACAAAAGAATCTCATTCTTTGGGAAAACATTTAGCAG








rs212349
ACGGAATCTTTTAAATTAAAAAATATTGCCCATTCTGATGAAACTGCTTA
166





[T/C]






AATGACTACAAGTAAAGATGGTGGCCATTAAGTTTTATCGTGAGCACCTG








rs3845744
CCAGTTTTAGCACTGAAAGTCCTGCTTCCTAAGAAGACCCCTCAGTCGTG
167





[A/G]






GAAAACCATGACAGTTAGTCACCCCAACAGTTAAGTAATATAAAACCTGA








rs2302663
TTATCAGCAGCTGGGTGGAAAAAAGAAAAATTATTCATTTTCCTAAAATC
168





[A/G]






GTAAGAATGCACCAGTATGCTGAGGCAATACACAGAGTAAAAAGTTAGAA







3′
rs1153699
GTGGGTTTGATTCTTGTCCTAGTCTAGCCTCAGTTTTGGGCAGGCACTGC
169



Flanking

[T/G]




region

TTGGGGTGGGGCTTTCTCAAATATCCTGCCCCTTTTCCAGTAGCAGGAAA








rs7583431
ATCCTTTCTGTGTGTCTCCTCTTGTGGCTACACTTGACGGGCCATATTAT
170





[A/C]






AAAGAATACAAAACAATAGTACAGACAGGTAAATGTTTATGCCTAGAAAT








rs1153702
TGTTGTTCATATTTTAAAAAAATTCTTAGCCATTATCTCTTCAAATAACA
171





[T/C]






GTTTGCCAAGTTCTCAATATGATATTGTTCCATAGATCTTGGATGCTGTG








rs1153711
TGTGTGTCTTGCAGCAGCTGGATGAAGGTTCTGTAAATGTATGCTACGTC
172





[T/G]






GTTGAGTCCATGGTGTAGTTTAAGTCTGATAATTTTTGTTGATTTTTTTT









In Table 7 to Table 10 (SEQ ID NOS: 1 to 172), 101 nucleotides are shown, and a gene polymorphic site is shown at the 51st nucleotide. For example, one represented by “A/G” means a gene polymorphism associated with transitions between “A” and “G”, and “C/T” means a gene polymorphism associated with transitions between “C” and “T”.


3. Haplotype Analysis


In the present invention, by using SNP among the above-mentioned gene polymorphisms, a haplotype can be constructed. The SNP to become a target of a haplotype analysis may be any as long as its gene polymorphism frequency is 0.5% or higher, preferably, those with a gene polymorphism frequency of 1%, more preferably those with a gene polymorphism frequency of 5% or higher can be selected. Further, SNP to become a target of a haplotype analysis may be a full or partial sequence thereof.


The haplotype analysis can be carried out using various computer programs, and for example, Haploview (available from the following website: Broad Institute) (the same shall apply hereafter); Barrett J C, Fry B, Maller J, Daly M J. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005 Jan. 15 [PubMed ID: 15297300] Whitehead Institute for Biomedical Research Cambridge, Mass. 02142, USA.) can be used.


As an example of the haplotype analysis, among cyclic AMP responsive element binding protein gene polymorphisms in Japanese healthy subjects found as in the above-mentioned 2, with regard to the 17 sites of SNPs which are CREB1 subtype gene polymorphisms, the 40 sites of SNPs which are CREB3 subtype gene polymorphisms, the 64 sites of SNPs which are CREB5 subtype gene polymorphisms, and the 31 sites of SNPs which are ATF2 subtype gene polymorphisms, a haplotype was estimated for each linkage disequilibrium block (haplotype block), using Haploview. The estimated haplotypes are shown in Tables 11 to 14. It is to be noted that the “Tag” shown in the tables indicates a Tag SNP that is a typical gene polymorphism in the linkage disequilibrium block.









TABLE 11







Gene name CREB1


Linkage disequilibrium block No. 1









Gene polymorphism name (※)
























Haplotype
1
2
3








12
13



17


No.
Tag
Tag
Tag
4
5
6
7
8
9
10
11
Tag
Tag
14
15
16
Tag





H1
C
C
C
A
G
G
G
T
C
C
C
C
C
C
A
A
T


H2
C
C
A
G
A
T
A
C
T
A
T
C
C
T
G
G
T


H3
C
T
C
A
G
G
A
T
T
C
C
C
C
C
A
A
T


H4
T
C
A
G
A
T
A
C
T
A
T
C
A
T
G
G
C


H5
C
C
A
G
A
T
A
C
T
A
T
A
C
C
A
A
T


H6
T
C
A
G
A
T
A
C
T
A
T
C
C
T
G
G
T


H7
T
C
A
G
A
T
A
C
T
A
T
C
A
T
G
G
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~17: (in this order)rs16839837, rs2360969, rs10932200, rs2253206, rs2551640, rs11904814, rs16839883, rs6740584, rs3770704, rs2254137, rs2551645, rs2551946, rs4234080, rs2952768, rs2709386, rs7591784 and rs7594560













TABLE 12





Gene name CREB3

















Linkage disequilibrium block No. 1


Hap-
Gene polymorphism name (※)































lotype
1
2
3





9

11















No.
Tag
Tag
Tag
4
5
6
7
8
Tag
10
Tag
12
13
14
15
16
17
18
19
20
21
22
23
24





H1
G
C
G
T
A
T
T
T
C
T
C
C
G
C
T
G
T
G
T
C
A
G
G
A


H2
G
C
G
T
A
T
T
T
T
T
C
C
G
C
T
G
T
G
T
C
A
G
G
A


H3
T
T
A
T
A
T
C
T
C
T
T
C
G
A
G
A
C
A
C
C
G
T
G
C


H4
T
T
A
T
A
T
C
T
C
T
C
C
G
A
G
A
C
A
C
C
G
T
G
C


H5
T
C
G
C
C
C
C
C
C
T
C
C
A
A
G
G
C
A
T
C
A
T
A
C


H6
T
T
G
T
A
T
C
T
C
C
C
T
G
A
T
G
C
G
T
C
A
G
G
C


H7
T
C
A
T
A
T
C
T
C
T
T
C
G
A
G
A
C
A
C
C
G
T
G
C








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%






Linkage disequilibrium block No. 2


Hap-
Gene polymorphism name (※)























lotype
25
26


29






36

38
39



No.
Tag
Tag
27
28
Tag
30
31
32
33
34
35
Tag
37
Tag
Tag
40





H8
C
C
G
G
G
C
G
G
G
A
T
A
C
C
G
C


H9
C
T
A
T
G
T
A
G
A
G
A
A
T
C
A
T


H10
T
C
G
G
C
T
G
A
A
G
A
A
T
C
G
C


H11
C
T
A
G
G
T
A
G
A
G
A
A
T
C
G
T


H12
C
C
G
G
C
T
G
A
A
G
A
A
T
C
G
C


H13
C
T
A
T
G
T
A
G
A
G
A
G
T
C
A
T


H14
C
C
G
G
G
C
G
G
G
A
T
A
C
T
G
C








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~40: (in this order)rs1243872, rs2145925, rs2025126, rs1885373, rs1885374, GA007473, rs2295794, rs4879926, GA007477, rs867194, rs11541908, rs741917, rs7862485, rs2756894, rs2249250, rs2295795, rs877365, rs2737273, rs2295797, rs2295798, rs1534847, rs7873822, rs2737274, rs10972567, rs3763630, rs10814274, rs3750434, rs1570246, GA025684, rs1570248, rs1570249, rs34478611, rs1322045, rs1951432, GA025687, rs10814275, rs10758320, rs4878628, rs10758321 and rs10758322













TABLE 13





Gene name CREB5

















Linkage disequilibrium block No.

















1

5

6

9

10









Gene polymorphism name (※)






























1
2


5
6

7
8
9

11


13
14

15
16

17
18


Haplotype (H) No.
Tag
Tag
3
4
Tag
Tag
H No.
Tag
Tag
Tag
10
Tag
12
H No.
Tag
Tag
H No.
Tag
Tag
H No.
Tag
Tag





H1
C
T
A
A
G
C
H6
C
C
G
C
A
G
H11
T
G
H14
T
A
H17
G
T


H2
G
C
G
A
G
T
H7
C
A
A
C
G
G
H12
C
C
H15
C
A
H18
G
G


H3
G
C
G
A
A
T
H8
C
C
G
C
G
G
H13
C
G
H16
C
G
H19
A
G


H4
C
C
G
A
G
T
H9
T
A
A
C
G
A
. . .


. . .


. . .




H5
G
C
G
A
G
C
H10
C
C
A
C
G
G

















. . .
Haplotypes which are estimated to occur at a frequency of less than 1%












Linkage disequilibrium block No.

















11

12

13

15

16









Gene polymorphism name (※)



























19
20

21
22
23

24
25

26
27
28

29
30
31




Haplotype (H) No.
Tag
Tag
H No.
Tag
Tag
Tag
H No.
Tag
Tag
H No.
Tag
Tag
Tag
H No.
Tag
Tag
Tag
32
33





H20
T
A
H24
G
C
C
H28
A
A
H31
G
T
C
H35
C
C
C
G
C


H21
T
G
H25
G
C
T
H29
G
A
H32
A
C
T
H36
T
C
A
G
C


H22
C
G
H26
A
C
T
H30
G
G
H33
A
T
T
H37
C
C
A
G
C


H23
C
A
H27
G
T
T
. . .


H34
A
T
C
H38
T
T
C
A
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%






Linkage disequilibrium block No.















25

26

27

32









Gene polymorphism name (※)




























34
35

36
37
38
39

40


42
43
44
45

47


50


Haplotype (H) No.
Tag
Tag
H No.
Tag
Tag
Tag
Tag
H No.
Tag
41
H No.
Tag
Tag
Tag
Tag
46
Tag
48
49
Tag





H39
T
A
H42
G
A
G
G
H47
A
A
H49
A
C
G

T
G
T
T
T


H40
C
G
H43
G
A
A
A
H48
G
G
H50
A
C
G
T
T
G
T
T
C


H41
T
G
H44
A
G
G
A
. . .


H51
A
A
C
T
C
G
T
C
C


. . .


H45
G
A
G
A



H52
C
A
C
C
T
T
C
T
C





H46
G
G
G
A



H53
C
A
C
C
T
G
C
T
C





. . .







H54
A
C
G
T
T
G
T
T
T













H55
A
T
G
T
T
G
T
T
C









Haplotypes which are estimated to occur at a frequency of less than 1%












Linkage disequilibrium block No.













33

35

40









Gene polymorphism name (※)
























51
52
53
54



57
58

59







Haplotype (H) No.
Tag
Tag
Tag
Tag
55
56
H No.
Tag
Tag
H No.
Tag
60
61
62
63
64





H56
T
G
G
C
A
A
H61
C
T
H64
G
G
C
T
T
C


H57
T
A
A
T
G
C
H62
T
C
H65
A
A
T
C
C
A


H58
G
A
A
C
G
C
H63
T
T
. . .








H59
T
A
G
C
A
A
. . .











H60
T
A
A
C
G
C


















. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~64: (in this order)rs4722778, rs177479, rs177480, rs11981754, rs177486, rs177498, rs10229500, rs10243659, rs4722785, rs16874503, rs11772815, rs6958133, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs6952227, rs42695, rs1029897, rs10233653, rs6955105, rs17156699, rs177572, rs177573, rs177580, rs177581, rs12666636, rs177584, rs177585, rs1008262, rs310353, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs917275, rs17157048, rs6462098, rs10951201, rs13311248, rs12540480, rs10265166, rs7798774, rs7799246, rs6972081, rs12533079, rs7806547, rs6462100, rs6979352, rs6950574, rs4722835, rs721993, rs2237351, rs3735566, rs11975539, rs6462107, rs2190306, rs4719955 and rs10228137













TABLE 14





Gene name ATF2

















Linkage disequilibrium block No.










1
2








Hap-
Gene polymorphism name (※)























lotype
1
2
3
4
5













No.
Tag
Tag
Tag
Tag
Tag
6
7
8
9
10
11
12
13
14
15
16





H1
T
C
A
A
G
C
C
A
G
C
G
T
C
A
A
A


H2
G
C
A
G
G
T
T
G
A
T
A
C
A
C
C
G


H3
T
T
C
G
A
T
T
G
A
T
A
C
A
C
C
G


H4
T
T
A
G
A
T
T
G
A
T
A
C
A
C
C
G






G
G
T
T
G
A
T
A
C
A
C
C
G








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%






Linkage disequilibrium block No. 2


Hap-
Gene polymorphism name (※)






















lotype




21






28





No.
17
18
19
20
Tag
22
23
24
25
26
27
Tag
29
30
31





H5
C
T
T
C
C
C
G
A
C
A
C
T
T
G
T


H6
T
C
C
T
T
T
A
G
A
C
T
G
C
G
C


H7
T
C
C
T
T
T
A
G
A
C
T
T
C
G
C


H8
T
C
C
T
T
T
A
G
A
C
T
G
C
G
C


H9
T
C
C
T
C
C
G
A
C
A
C
T
T
G
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%





(※) 1~31: (in this order)rs1153711, rs1153702, rs7583431, rs2302663, rs3845744, s212349, rs212347, rs12693057, rs1153685, rs212360, rs212361, rs2072538, rs1205399, rs1153676, rs7566401, rs7578569, rs3755490, rs13388308, rs11888507, rs10497434, rs268214, rs166531, rs268228, rs268229, rs268230, rs268231, rs10497435, rs1982235, rs268237, rs13030474 and rs268174






Further, from the genotype information of cyclic AMP responsive element binding protein (CREB) genes of the respective individuals in a population, a haplotype frequency in the population is calculated, and a linkage disequilibrium analysis can be carried out based on the thus obtained haplotype frequency. The D′ value and r2 value, which indicate measures of linkage disequilibrium, can be calculated based on the following definition.


Definition

It is assumed that there are SNP A and SNP B, and the respective alleles are represented by A and a, and B and b. The four haplotypes formed by SNP A and SNP B are represented by AB, Ab, aB and ab, and the respective haplotype frequencies are represented by PAB, PAb, PaB and Pab.

D=PAB×Pab−PAb×PaB (In the case of D>0)
D′=(PAB×Pab−PAb×PaB)/Minimum(((PAB+PaB)×(PaB+Pab)),((PAB+PAb)×(PAb+Pab))) (In the case of D<0)
D′=(PAB×Pab−PAb×PaB)/Minimum(((PAB+PaB)×(PAB+PAb)),((PaB+Pab)×(PAb+Pab)))
r2=(PAB×Pab−PAb×PaB)2/[(PAB+PAb)(PAB+PaB)(PaB+Pab)(PAb+Pab)]

[However, Minimum (((PAB+PaB)×(PaB+Pab)), ((PAB+PAb)×(PAb+Pab))) means that a smaller value among (PAB+PaB)×(PaB Pab) and (PAB+PAb)×(PAb+Pab) is adopted.]


Further, a haplotype block can be estimated from the results of the linkage disequilibrium analysis. As for the haplotype block, a linkage block can be estimated from the results of the haplotype analysis by using, for example, Haploview.


When a specific SNP in the estimated haplotype blocks is examined, the information of SNPs indirectly linked to each other in the same block can be obtained. That is, when a gene polymorphism of the cyclic AMP responsive element binding protein gene (specifically, a CREB1 subtype gene, a CREB3 subtype gene, a CREB5 subtype gene, or an ATF2 subtype gene) is examined, it is not necessary to analyze all the SNPs, and it is only necessary to perform typing for several specific SNPs, for example, representative SNPs such as a Tag SNP.


4. Correlation of Cyclic AMP Responsive Element Binding Protein Gene Polymorphism with Drug Sensitivity and Disease Vulnerability


It is considered that when a gene polymorphism occurs in the cyclic AMP responsive element binding protein gene, the function or expression level of the cyclic AMP responsive element binding protein might change. Therefore, there is a correlation between a cyclic AMP responsive element binding protein gene polymorphism and various phenotypes associated with the cyclic AMP responsive element binding protein in some cases.


Here, as the phenotype, a phenotype associated with sensitivity to drugs (drug sensitivity) and a phenotype associated with occurrence of a disease (disease vulnerability) can be exemplified. As the drug sensitivity, an efficacy of drugs, a side effect of drugs, duration of efficacy of drugs and the like can be exemplified. As the disease vulnerability, pain sensitivity, vulnerability to substance dependence (in particular, vulnerability to drug dependence) and the like can be exemplified.


In the present invention, the type of the aforementioned drug is not particularly limited, and preferred examples of the drug include opioid receptor function modulators and cyclic AMP responsive element binding protein function modulators. Examples of such modulators include various drugs acting directly or indirectly on the opioid receptor or the cyclic AMP responsive element binding protein. Specific examples of various drugs acting directly or indirectly on the opioid receptor include a stimulant such as methamphetamine, a dopamine receptor agonist, a dopamine receptor antagonist, a m-, κ-, or δ-opioid receptor agonist, a m-, κ-, or δ-opioid receptor antagonist, and the like. Specific examples of various drugs acting directly or indirectly on the cyclic AMP responsive element binding protein include phosphorylated enzyme, a coactivator, a PDE4 inhibitor, dephosphorylated enzyme, an agonist for each subtypes of the cyclic AMP responsive element binding protein, an antagonist for each subtypes of the cyclic AMP responsive element binding protein, and the like.


Examples of the opioid receptor function modulator include morphine, DAMGO, codeine, methadone, carfentanil, fentanyl, heroin, cocaine, naloxone, naltrexone, nalorphine, levallorphan, pentazocine, pethidine, buprenorphine, oxycodone, hydrocodone, levorphanol, etorphine, dihydroetorphine, hydromorphone, oxymorphone, tramadol, diclofenac, indomethacin, flurbiprofen axetil, marcain, ethanol, methanol, diethyl ether, propanol, butanol, flupirtine, laughing gas, F3 (1-chloro-1,2,2-trifluorocyclobutane), halothane, estradiol, dithiothreitol, thioridazine, pimozide, fluoxetine, paroxetine, desipramine, imipramine, clomipramine, tetramide, isoflurane, ginsenoside, ifenprodil, bupivacaine, tertiapine, clozapine, haloperidol, SCH23390, cocaine, and the like. In particular, morphine, pentazocine, pethidine, buprenorphine, diclofenac, indomethacin, flurbiprofen axetil and marcain are preferred, and morphine, fentanyl and pentazocine are more preferred.


Preferred examples of the cyclic AMP responsive element binding protein function modulator include phosphodiesterase 4 (PDE4), calcineurin, protein kinase A, protein kinase C, p90 ribosome S6 kinase 1 (RSK1), calmodulin kinase, glycogen synthase kinase 3β, and CREB-regulated transcription coactivator 1 (CRTC1).


The correlation between a cyclic AMP responsive element binding protein gene polymorphism and a phenotype can be examined as described in the following (1) to (4), for example.


(1) A gene polymorphism in a linkage disequilibrium block estimated as a result of a linkage disequilibrium analysis and a haplotype analysis in healthy subjects is selected. For example, a Tag SNP which is a typical gene polymorphism is selected as a cyclic AMP responsive element binding protein gene polymorphism for analyzing a correlation with a phenotype.


(2) Then, a gene polymorphism frequency of the gene polymorphism in test subjects (patients) is analyzed. In the case where a correlation between a gene polymorphism and disease vulnerability is examined, a comparison is made in terms of gene polymorphisms between the test subjects and the healthy subjects. It is effective to use a statistical technique such as a chi-square test in the comparison.


Here, the test subjects are classified into groups depending on the difference in phenotypes, and a comparison may be made in terms of gene polymorphism frequencies or genotypes between healthy subjects and test subjects in each group. In the case where the phenotype associated with the occurrence of a disease is a stimulant-induced psychotic-like symptom, it can be classified, for example, according to a period of time from the start of the use of a stimulant to the occurrence of delusion or hallucination, a period of duration of delusion or hallucination after termination of the use thereof; the presence or absence of the relapse, and the presence or absence of multiple drug abuse.


(3) If there is a gene polymorphism significantly linked to drug sensitivity in the test subjects, the gene polymorphism can be used for evaluating the genetic predisposition to drug sensitivity. Further, if there is a gene polymorphism with a significant difference in the gene polymorphism frequency between the healthy subjects and the test subjects, the gene polymorphism can be used for evaluating the genetic predisposition to disease vulnerability.


However, it is suggested that a tendency to gene polymorphism would be affected by the race, birthplace or the like, therefore, it is preferred that in a group showing a similar gene polymorphism to that of a population used for finding an associated gene polymorphism (such as SNP), the above-mentioned evaluation using the gene polymorphism is carried out.


Specific examples of the correlation between a cyclic AMP responsive element binding protein gene polymorphism and a phenotype will be shown in the following (1) to (4).


(1) In the correlation with the measurement results of the required total administration amount of analgesic in 24 hours after surgery, in the case of patients who had a minor allele (C) of the CREB1 subtype gene polymorphism (rs10932200) and underwent the surgery, the required administration amount (logarithmic transformation) of analgesic after the surgery was statistically significantly high in correlation with the number of alleles which they had. Thus, by analyzing the CREB1 subtype gene polymorphism (rs10932200), the sensitivity to analgesic can be more easily predicted.


(2) In the correlation with the measurement results of pain perception latency due to finger immersion in ice water before surgery, the presence or absence of a minor allele (C) of the CREB1 subtype gene polymorphism (rs10932200) and pain perception latency (logarithmic transformation) showed a significant correlation. Thus, by analyzing the CREB1 subtype gene polymorphism (rs10932200), the sensitivity to pain can be more easily predicted.


(3) In the correlation with the measurement results of the scale of the intensity of pain (VAS: on visual analogue scale) 24 hours after surgery, in the case of patients who had a minor allele (C) of the CREB1 subtype gene polymorphism (rs10932200) and underwent the surgery, the value of VAS (logarithmic transformation) was statistically significantly high in correlation with the number of alleles which they had. Thus, by analyzing the CREB1 subtype gene polymorphism (rs10932200), the sensitivity to pain or analgesic after the surgery can be more easily predicted.


(4) In the correlation with the measurement results of a difference in threshold of pain perception latency due to finger immersion in ice water before surgery, in the case of patients who had a minor allele (C) of the ATF2 subtype gene polymorphism (rs7583431) and underwent the surgery, a difference in threshold of pain perception latency (logarithmic transformation) due to finger immersion in ice water was statistically significantly short in correlation with the number of alleles which they had. Thus, by analyzing the ATF2 subtype gene polymorphism (rs7583431), the sensitivity to analgesic before the surgery can be more easily predicted.


5. Use of Analysis Results


As in the above-mentioned 4, the correlation between a cyclic AMP responsive element binding protein gene polymorphism and a phenotype analyzed can be used as an index in a method of predicting sensitivity to various drugs associated with the opioid receptor and the cyclic AMP responsive element binding protein and also to pain, a method of selecting a method of treating or preventing a disease associated with the opioid receptor and the cyclic AMP responsive element binding protein, a method of determining an appropriate administration amount of therapeutic drugs, a method of predicting side effects, or the like.


Further, by using the gene polymorphism or the method of the present invention, it is possible to evaluate drug sensitivity and disease vulnerability in different races. The subjects are not particularly limited, and examples thereof include Japanese, Europeans, Americans and the like. In the present invention, however, they are preferably Japanese or those having a similar gene polymorphism tendency to that of Japanese.


6. Detection of Gene Polymorphism


A genome sample of a test subject can be extracted from the blood, saliva, skin or the like, however, the origin is not limited to these as long as a genome sample can be collected therefrom. The extraction and purification methods of genomic DNA are publicly well known. For example, genomic DNA is purified from a specimen such as the blood, saliva, skin or the like collected from a human using the phenol method or the like. At this time, a commercially available genomic DNA extraction kit such as GFX Genomic Blood DNA Purification Kit (manufactured by GE Healthcare Bio-Sciences KK) or a device may be used. In the case where SNP to be detected is present in an exon, mRNA or total RNA may be extracted instead of genomic DNA.


In the detection of a cyclic AMP responsive element binding protein gene polymorphism in a genome sample, the above-mentioned oligonucleotide of the present invention can be used as a probe or a primer. Hereinafter, an example of the gene polymorphism detection method will be described.


(1) Detection of Gene Polymorphism by PCR Method


In order to amplify a test sample by PCR, it is preferred that a high fidelity DNA polymerase, for example, KOD Dash polymerase (manufactured by TOYOBO) is used. A primer to be used is designed such that a target SNP in the test sample can be amplified and synthesis is carried out. It is preferred that a gene polymorphism or a strand complementary thereto is contained at a given position between the forward and reverse primers. After completion of the amplification reaction, detection of the amplified products is carried out, and the presence or absence of a gene polymorphism is determined by a sequence method or the like.


(2) Detection of Gene Polymorphism by Sequencing Method


The gene polymorphism of the present invention can also be detected by a sequencing method based on the dideoxy method. As a sequencer to be used for the sequencing, a commercially available ABI series (Applied Biosystems (Life Technologies)) can be used.


(3) Detection of Gene Polymorphism Using DNA Microarray


A DNA microarray is a microarray in which oligonucleotide probes have been immobilized on a support, and includes a DNA chip, a Gene chip, a microchip, a bead array and the like. First, a polynucleotide of a test sample is isolated and amplified by PCR, and then labeled with a fluorescent reporter group. Then, a labeled DNA/mRNA, or total RNA is incubated along with an array.


Then, this array is inserted in a scanner, and a hybridization pattern is detected. The data of the hybridization is collected as emitted light from the fluorescent reporter group bound to the probe array (i.e., incorporated in a target sequence). A probe which is completely identical with the target sequence generates a stronger signal than those having a region which is not identical with the target sequence. Because the sequence and the position of each probe on the array are known, the sequence of the target polynucleotide reacted with the probe array can be determined based on the complementarity.


(4) Detection of Gene Polymorphism by TaqMan PCR Method


The TaqMan PCR method is a method utilizing an allele specific oligonucleotide (also referred to as TaqMan probe) labeled with fluorescence and PCR with Taq DNA polymerase. The allele specific oligonucleotide is an oligonucleotide containing a gene polymorphic site. The allele specific oligonucleotide to be used in the TaqMan PCR method can be designed based on the above-mentioned gene polymorphism information.


(5) Detection of Gene Polymorphism by Invader Method


The invader method is a method of detecting a gene polymorphism by subjecting an allele specific oligonucleotide and a template to hybridization. A kit for carrying out the invader method is commercially available (for example, NanoInvader® Array (manufactured by BML, Inc.)), and it is possible to easily detect a gene polymorphism by this method.


7. Kit


The present invention provides a kit for evaluating drug sensitivity and disease vulnerability. The kit for detecting a gene polymorphism of the present invention includes one or more components necessary for carrying out the present invention.


For example, the kit of the present invention preferably includes a component for storing or supplying an enzyme and/or a reaction component necessary for detecting a gene polymorphism. Such a component is not limited, and examples thereof include the oligonucleotide of the present invention, an enzyme buffer solution, dNTP, a reagent for control (such as a tissue sample or a target oligonucleotide for a positive or negative control), a reagent for labeling and/or detection, a solid phase support, a written instruction manual and the like. Further, the kit of the present invention may be a partial kit including only a part of the necessary components. In this case, a user can prepare the other components.


The kit of the present invention can be provided as a microarray in which the above-mentioned oligonucleotide has been immobilized on a support. The microarray is one in which the oligonucleotide of the present invention has been immobilized on a support, and includes a DNA chip, a Gene chip, a microchip, a bead array and the like.


The kit of the present invention preferably includes an oligonucleotide which contains a cyclic AMP responsive element binding protein gene polymorphism found in the present invention and is capable of being specifically hybridized to a DNA fragment containing the gene polymorphism.


In the case where a gene polymorphism is determined using the kit of the present invention, for example, the blood is collected before drugs are applied to patients or the like (for example, before surgery, at the time of occurrence of cancer pain or the like), and DNA containing a cyclic AMP responsive element binding protein 1 gene is isolated. Then, this gene is reacted with an oligonucleotide in the kit, and thereby a genotype is determined.


From the determined genotype and gene polymorphism, a dosage regimen such as the type or administration amount of the drugs can be designed. As a result, an effect of the drugs suitable for an individual can be obtained, which is useful in the personalized medicine. For example, in the case of using morphine, it becomes possible to obtain an analgesic effect suitable for an individual, and also to suppress the side effects to the minimum.


Hereinafter, the present invention will be described in more detail with reference to Examples. However, the present invention is not limited to these.


Example 1

<SNP Analysis and Haplotype Construction>


(SNP Analysis)


Genomic DNA was extracted from the blood of humans (127 Japanese healthy subjects) by a standard method, and gene polymorphisms were identified in four subtypes (CREB1, CREB3, CREB5, and ATF2) of a human cyclic AMP responsive element binding protein.


With regard to the CREB1 subtype gene, an entire exon region, 5′ and 3′ flanking regions, and an intron region were analyzed. In the case of the CREB1 subtype gene, 7 gene polymorphisms in an intron region were identified in the Japanese samples. Further, 4 and 6 gene polymorphisms were found in the 5′ and 3′ flanking regions, respectively (see Table 15). As a result of linkage disequilibrium analysis, 1 linkage disequilibrium block was found in a region ranging from the 5′ flanking region to the 3′ flanking region (see FIG. 1 and FIG. 2). It was found that rs16839837, rs2360969, rs10932200, rs2551946, rs4234080 and rs7594560 were suitable as Tag SNPs representing this linkage disequilibrium block.


Further, in the same manner as above, with regard to the CREB3 subtype gene, an entire exon region, 5′ and 3′ flanking regions, and an intron region were analyzed. In the case of the CREB3 subtype gene, 1 gene polymorphism in an intron region, and 25 and 14 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, were identified in the Japanese samples (see Table 15). As a result of linkage disequilibrium analysis, 1 linkage disequilibrium block was found in the 5′ flanking region, and 1 linkage disequilibrium block was found in a region ranging from the 5′ flanking region to the 3′ flanking region (see FIG. 3 and FIG. 4). It was found that rs1243872, rs2145925, rs2025126, GA007477, rs11541908, rs3763630, rs10814274, rsGA025684, rs10814275, rs4878628 and rs10758321 were suitable as Tag SNPs representing this linkage disequilibrium block.


Further, in the same manner as above, with regard to the CREB5 subtype gene, an entire exon region, 5′ and 3′ flanking regions, and an intron region were analyzed. In the case of the CREB5 subtype gene, 2 gene polymorphisms in a noncoding region of exon, 241 gene polymorphisms in an intron region, and 9 and 5 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, were identified in the Japanese samples (see Table 16). As a result of linkage disequilibrium analysis performed on some of the aforementioned gene polymorphisms, 1 linkage disequilibrium block was found in the 5′ flanking region, 15 linkage disequilibrium blocks were found in the intron region, and 1 linkage disequilibrium block was found in a region ranging from the noncoding region of exon to the 3′ flanking region (see FIG. 5 and FIG. 6). It was found that rs4722778, rs177479, rs177486, rs177498, rs10229500, rs10243659, rs4722785, rs11772815, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs6952227, rs42695, rs1029897, rs10233653, rs6955105, rs17156699, rs177572, rs177573, rs177580, rs177581, rs12666636, rs1008262, rs310353, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs17157048, rs6462098, rs10951201, rs13311248, rs10265166, rs6972081, rs12533079, rs7806547, rs6462100, rs6979352, rs721993, rs2237351 and rs3735566 were suitable as Tag SNPs representing this linkage disequilibrium block.


Further, in the same manner as above, with regard to the ATF2 subtype gene, an entire exon region, 5′ and 3′ flanking regions, and an intron region were analyzed. In the case of the ATF2 subtype gene, 1 gene polymorphism in a noncoding region of exon 1, 16 gene polymorphisms in an intron region, and 11 and 6 gene polymorphisms in the 5′ and 3′ flanking regions, respectively, were identified in the Japanese samples (see Table 15). As a result of linkage disequilibrium analysis, 1 linkage disequilibrium block was found in a region ranging from the 5′ flanking region to the intron region, and 1 linkage disequilibrium block was found in the 3′ flanking region (see FIG. 7 and FIG. 8). It was found that rs1153711, rs1153702, rs7583431, rs2302663, rs3845744, rs268214 and rs1982235 were suitable as Tag SNPs representing this linkage disequilibrium block.











TABLE 15







CREB1 gene polymorphism
CREB3 gene polymorphism
ATF2 gene polymorphism




















Major



Major



Major




Gene
allele:
Minor

Gene
allele:
Minor

Gene
allele:
Minor



polymorphism
minor
allele

polymorphism
minor
allele

polymorphism
minor
allele


Position
name
allele
frequency
Position
name
allele
frequency
Position
name
allele
frequency





















5′
rs16839837
C:T
0.232
5′
rs1243872
G:T
0.449
5′
rs268174
C:T
0.201


Flanking
rs2360969
C:T
0.126
Flanking
rs2145925
C:T
0.39
Flanking
rs13030474
G:T
0.008


region
rs1093220
A:C
0.315
region
rs2025126
G:A
0.366
region
rs268237
C:T
0.189



rs2253206
G:A
0.315

rs1885373
T:C
0.055

rs1982235
T:G
0.398


Intron
rs2551640
A:G
0.323

rs1885374
A:C
0.051

rs10497435
T:C
0.189



rs11904814
T:G
0.319

GA007473
T:C
0.051

rs268231
C:A
0.197



rs16839883
A:G
0.181

rs2295794
T:C
0.453

rs268230
A:C
0.197



rs6740584
C:T
0.307

rs4879926
T:C
0.051

rs268229
G:A
0.197



rs3770704
T:C
0.181

GA007477
C:T
0.358

rs268228
A:G
0.205



rs2254137
A:C
0.323

rs867194
T:C
0.028

rs166531
T:C
0.189



rs2551645
T:C
0.319

rs11541908
C:T
0.283

rs268214
T:C
0.189


3′
rs2551946
C:A
0.02

rs741917
C:T
0.028
Exon
rs10497434
T:C
0.154


Flanking
rs4234080
C:A
0.193

rs7862485
G:A
0.051
Intron
rs11888507
C:T
0.154


region
rs2952768
T:C
0.331

rs2756894
C:A
0.445

rs13388308
C:T
0.154



rs2709386
G:A
0.331

rs2249250
T:G
0.425

rs3755490
T:C
0.146



rs7591784
G:A
0.331

rs2295795
G:A
0.374

rs7578569
G:A
0.154



rs7594560
T:C
0.181

rs877365
T:C
0.445

rs7566401
C:A
0.154







rs2737273
G:A
0.413

rs1153676
C:A
0.154







rs2295797
T:C
0.374

rs1205399
A:C
0.169







rs2295798
C:T
0.008

rs2072538
C:T
0.146







rs1534847
A:G
0.37

rs212361
A:G
0.154







rs7873822
G:T
0.417

rs212360
T:C
0.154







rs2737274
G:A
0.051

rs1153685
A:G
0.154







rs10972587
A:C
0.445

rs12693057
G:A
0.154







rs3763630
C:T
0.276

rs212347
T:C
0.154






Intron
rs10814274
C:T
0.409

rs212349
T:C
0.154






3′
rs3750434
G:A
0.402

rs3845744
A:G
0.291






Flanking
rs1570246
G:T
0.385

rs2302663
G:A
0.146






region
GA025684
G:C
0.323
3′
rs35507277
T:G
0.008







rs1570248
T:C
0.268
Flanking
rs1153699
C:T
0.472







rs1570249
G:A
0.409
region
rs1153700
C:G
0.425







rs34478611
G:A
0.323

rs7583431
A:C
0.366







rs1322045
A:G
0.268

rs1153702
T:C
0.476







rs1951432
G:A
0.26

rs1153711
T:G
0.209







GA025687
A:T
0.264











rs10814275
A:G
0.067











rs10758320
T:C
0.264











rs4878628
C:T
0.134











rs10758321
G:A
0.394











rs10758322
C:T
0.402


















TABLE 16







CREB5 gene polymorphism
CREB5 gene polymorphism
CREB5 gene polymorphism




















Major



Major



Major




Gene
allele:
Minor

Gene
allele:
Minor

Gene
allele:
Minor



polymorphism
minor
allele

polymorphism
minor
allele

polymorphism
minor
allele


Position
name
allele
frequency
Position
name
allele
frequency
Position
name
allele
frequency





















5′
rs4722778
C:G
0.256
Intron
rs177576
T:C
0.327
Intron
rs41320
C:T
0.323


Flanking
rs177479
T:C
0.252

rs177578
G:A
0.012

rs41321
A:G
0.402


region
rs177480
A:G
0.242

rs13437706
C:T
0.374

rs41322
A:G
0.335



rs11981754
A:G
0.008

rs177580
C:T
0.382

rs7780656
G:T
0.063



rs177486
G:A
0.161

rs177581
C:T
0.169

rs41327
A:G
0.343



rs177498
C:T
0.248

rs12666636
C:A
0.224

rs42322
T:C
0.331



rs849322
A:G
0.437

rs177584
G:A
0.169

rs41333
A:G
0.331



rs177505
T:G
0.201

rs177585
C:T
0.169

rs9655280
A:G
0.063



rs2175738
G:A
0.161

rs177588
G:A
0.098

rs9655281
G:A
0.063


Intron
rs4719932
A:C
0.016

rs6462088
G:A
0.437

rs4719945
A:G
0.307



rs10258745
C:T
0.031

rs7796539
C:T
0.004

rs6945988
A:G
0.413



rs1013900
G:T
0.021

rs1859020
A:G
0.378

rs10258405
T:G
0.185



rs6955393
G:A
0.035

rs1011384
A:G
0.236

rs10243376
G:A
0.185



rs6953880
A:G
0.02

rs6462090
G:T
0.004

rs41334
T:C
0.429



rs17156573
T:C
0.035

rs12671247
T:C
0.154

rs10245004
C:T
0.189



rs6960209
C:T
0.02

rs217508
T:C
0.398

rs41339
G:T
0.317



rs17156577
T:C
0.039

rs4719936
G:T
0.004

rs982947
C:T
0.181



rs7811922
A:C
0.035

rs217509
G:T
0.197

rs982950
A:G
0.181



rs6973453
T:C
0.201

rs217510
T:C
0.193

rs16874653
A:G
0.28



rs17156579
C:T
0.055

rs17718257
G:A
0.004

rs41346
G:T
0.02



rs1073298
T:C
0.201

rs149591
C:A
0.051

rs41348
A:G
0.396



rs6961801
C:T
0.319

rs1910553
C:A
0.22

rs9989149
C:T
0.339



rs6977728
C:A
0.106

rs217517
G:A
0.193

rs6968464
G:A
0.02



rs6978238
C:T
0.102

rs217519
G:A
0.173

rs886816
G:A
0.181



rs13230543
C:A
0.248

rs2391668
T:G
0.382

rs757980
A:G
0.035



rs12673465
A:G
0.343

rs4722804
G:T
0.189

rs41351
G:A
0.093



rs10251129
T:C
0.327

rs618776
A:G
0.378

rs96918763
A:C
0.098



rs2391656
T:C
0.333

rs217503
C:T
0.382

rs17157048
A:C
0.087



rs6971345
A:G
0.327

rs217513
C:T
0.236

rs6462098
T:C
0.122



rs17156603
A:G
0.398

rs65264
C:T
0.394

rs10951201
C:A
0.154



rs7806362
C:A
0.173

rs441355
G:T
0.189

rs13311248
G:C
0.146



rs17642145
T:C
0.008

rs2391670
C:T
0.362

rs12540480
T:C
0.063



rs10229500
C:T
0.138

rs2391671
A:G
0.362

rs10265166
G:T
0.043



rs10243659
C:A
0.476

rs216708
A:G
0.425

rs7798774
T:C
0.087



rs4722785
G:A
0.488

rs11980665
C:T
0.173

rs7799246
T:C
0.056



rs16874503
C:T
0.004

rs11980669
C:T
0.173

rs6972081
T:C
0.287



rs11772815
G:A
0.331

rs11984308
T:C
0.173

rs7777929
T:C
0.037



rs6958133
G:A
0.13

rs160346
G:A
0.37

rs12533079
T:G
0.079



rs16874525
C:T
0.461

rs150607
A:G
0.276

rs7806547
G:A
0.157



rs17715174
G:C
0.354

rs177594
G:A
0.106

rs6462100
G:A
0.134



rs10242868
T:G
0.205

rs6969064
A:G
0.169

rs6979352
C:T
0.012



rs12709884
G:A
0.476

rs150610
A:G
0.094

rs6950574
A:G
0.13



rs17156635
G:A
0.189

rs216715
T:C
0.287

rs4722835
A:C
0.13



rs10239606
C:T
0.374

rs10951197
T:C
0.39

rs9648352
A:G
0.028



rs16874528
G:A
0.008

rs12539927
A:G
0.185

rs879593
A:C
0.138



rs7799687
C:A
0.189

rs216720
A:G
0.951

rs879591
G:T
0.15



rs714218
G:A
0.327

rs17156823
G:A
0.252

rs2299110
C:T
0.228



rs1860759
A:G
0.327

rs2078980
G:A
0.492

rs2237349
C:T
0.272



rs997908
G:A
0.476

rs216730
T:G
0.236

rs2066979
T:C
0.275



rs12112050
C:T
0.484

rs13228899
G:T
0.201

rs10486589
A:G
0.039



rs2191827
A:G
0.484

rs160335
G:A
0.496

rs10486591
G:A
0.272



rs4498447
T:C
0.327

rs10951200
G:A
0.047

rs6462103
C:T
0.118



rs10254657
G:A
0.449

rs10486588
G:A
0.461

rs721993
C:T
0.154



rs6953524
G:T
0.492

rs216735
G:A
0.287

rs2237351
T:C
0.091



rs10239810
A:G
0.307

rs216737
C:T
0.031

rs740315
G:A
0.004



rs17156649
G:A
0.079

rs216743
G:A
0.055

rs2237353
A:C
0.238



rs1811248
T:G
0.13

rs216744
A:G
0.055

rs2073537
T:C
0.217



rs887623
T:C
0.252

rs216747
C:T
0.031

rs4722844
G:T
0.181



rs740988
A:G
0.276

rs1976489
A:G
0.496

rs17730621
C:T
0.327



rs7794304
T:C
0.457

rs150613
C:T
0.169

rs2282907
G:A
0.24



rs42694
A:G
0.035

rs17156878
G:A
0.232

rs10238623
G:A
0.193



rs6952227
G:A
0.291

rs767834
C:G
0.437

rs2299116
C:A
0.091



rs42695
C:T
0.244

rs4722820
G:A
0.177

rs2299117
T:C
0.154



rs1029897
T:C
0.409

rs160337
C:A
0.047

rs2237355
A:G
0.368



rs42699
A:C
0.024

rs160338
G:A
0.075

rs2237360
T:G
0.268



rs4722793
C:A
0.405

rs1008262
T:C
0.323

rs2237361
T:C
0.217



rs735101
T:C
0.409

rs310353
G:A
0.299

rs2237362
T:C
0.106



rs10233653
G:A
0.421

rs310359
T:C
0.217

rs7791555
G:T
0.272



rs6955105
G:A
0.465

rs310361
C:T
0.169

rs2237364
A:G
0.26



rs2286841
C:A
0.228

rs13233942
A:G
0.339

rs2282909
T:G
0.366



rs979915
C:T
0.012

rs310338
T:C
0.323

rs2282910
C:T
0.366



rs7794347
C:T
0.248

rs41273
G:A
0.169

rs2282911
T:C
0.366



rs16874562
G:T
0.283

rs1637457
A:G
0.22

rs1544470
A:G
0.362



rs17156685
A:G
0.087

rs17156919
G:A
0.299

rs1964240
A:C
0.293



rs174024
C:T
0.268

rs41276
A:G
0.417

rs17669844
T:C
0.008



rs6949786
G:A
0.26

rs160375
A:G
0.067

rs886750
A:G
0.354



rs7793437
A:G
0.016

rs917275
A:G
0.067

rs12531253
G:A
0.272



rs3757677
T:C
0.016

rs160342
A:G
0.264

rs10951205
A:G
0.374



rs6462085
T:G
0.016

rs160343
T:C
0.083
Exon
rs2190305
A:G
0.374



rs17717216
T:C
0.016

rs41295
C:T
0.094

rs3735566
G:A
0.039



rs17156694
G:A
0.441

rs160357
A:G
0.492
3′
rs11975539
G:A
0.039



rs17156699
A:G
0.268

rs41298
G:A
0.236
Flanking
rs6462107
C:T
0.039



rs177572
T:C
0.331

rs41305
G:A
0.402
region
rs2190306
T:C
0.043



rs177573
T:C
0.417

rs41307
C:T
0.425

rs4719955
T:C
0.047



rs6977204
A:G
0.48

rs10228740
A:G
0.126

rs10228137
C:A
0.051



rs177574
A:G
0.047

rs3888613
G:A
0.205









In Table 15 and Table 16, there is not found any polymorphism causing amino acid substitution, namely, a polymorphism in which the type of amino acid after translation is changed depending on the gene polymorphism allele.


Moreover, in Table 15 and Table 16, “minor allele frequency” means the ratio of a minor allele. It is to be noted that the number of healthy subjects used as test subjects was 127.


(Haplotype Construction)


As some examples of haplotype analysis, with regard to the 17 sites of SNPs which are CREB1 subtype gene polymorphisms, the 40 sites of SNPs which are CREB3 subtype gene polymorphisms, the 83 sites of SNPs which are CREB5 subtype gene polymorphisms, and the 23 sites of SNPs which are ATF2 subtype gene polymorphisms, as shown in Table 15 and Table 16, among the cyclic AMP responsive element binding protein gene polymorphisms in Japanese healthy subjects, a haplotype was estimated for each linkage disequilibrium block (haplotype block), using Haploview. The estimated haplotypes are shown in Tables 17, 18, 19 and 20. It is to be noted that the “Tag” used in each table means a Tag SNP that is a representative gene polymorphism in the linkage disequilibrium block.









TABLE 17







Gene name CREB1











Linkage disequilibrium block No. 1


Hap-

Gene polymorphism name (※)

























lotype
Frequen-
1
2
3








12
13



17


No.
cy (%)
Tag
Tag
Tag
4
5
6
7
8
9
10
11
Tag
Tag
14
15
16
Tag




























H1
16.9
C
C
C
A
G
G
G
T
C
C
C
C
C
C
A
A
T


H2
42.5
C
C
A
G
A
T
A
C
T
A
T
C
C
T
G
G
T


H3
12.2
C
T
C
A
G
G
A
T
T
C
C
C
C
C
A
A
T


H4
17.7
T
C
A
G
A
T
A
C
T
A
T
C
A
T
G
G
C


H5
1.6
C
C
A
G
A
T
A
C
T
A
T
A
C
C
A
A
T


H6
3.5
T
C
A
G
A
T
A
C
T
A
T
C
C
T
G
G
T


H7
1.2
T
C
A
G
A
T
A
C
T
A
T
C
A
T
G
G
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%


























custom character

100.0%






















(※) 1~17: (in this order)rs16839837, rs2360969, rs10932200, rs2253206, rs2551640, rs11904814, rs16839883, rs6740584, rs3770704, rs2254137, rs2551645, rs2551946, rs4234080, rs2952768, rs2709386, rs7591784 and rs7594560













TABLE 18





Gene name CREB3



















Linkage disequilibrium block No. 1


Hap-

Gene polymorphism name (※)
































lotype
Frequen-
1
2
3





9

11















No.
cy (%)
Tag
Tag
Tag
4
5
6
7
8
Tag
10
Tag
12
13
14
15
16
17
18
19
20
21
22
23
24





H1
18.9
G
C
G
T
A
T
T
T
C
T
C
C
G
C
T
G
T
G
T
C
A
G
G
A


H2
35.4
G
C
G
T
A
T
T
T
T
T
C
C
G
C
T
G
T
G
T
C
A
G
G
A


H3
25.6
T
T
A
T
A
T
C
T
C
T
T
C
G
A
G
A
C
A
C
C
G
T
G
C


H4
8.3
T
T
A
T
A
T
C
T
C
T
C
C
G
A
G
A
C
A
C
C
G
T
G
C


H5
4.3
T
C
G
C
C
C
C
C
C
T
C
C
A
A
G
G
C
A
T
C
A
T
A
C


H6
2.8
T
T
G
T
A
T
C
T
C
C
C
T
G
A
T
G
C
G
T
C
A
G
G
C


H7
1.2
T
C
A
T
A
T
C
T
C
T
T
C
G
A
G
A
C
A
C
C
G
T
G
C








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%

































custom character

100.0%






































Linkage disequilibrium block No. 2


Hap-

Gene polymorphism name (※)
























lotype
Frequen-
25
26


29






36

38
39



No.
cy (%)
Tag
Tag
27
28
Tag
30
31
32
33
34
35
Tag
37
Tag
Tag
40





H8
12.6
C
C
G
G
G
C
G
G
G
A
T
A
C
C
G
C


H9
29.8
C
T
A
T
G
T
A
G
A
G
A
A
T
C
A
T


H10
25.9
T
C
G
G
C
T
G
A
A
G
A
A
T
C
G
C


H11
2.0
C
T
A
G
G
T
A
G
A
G
A
A
T
C
G
T


H12
6.4
C
C
G
G
C
T
G
A
A
G
A
A
T
C
G
C


H13
6.7
C
T
A
T
G
T
A
G
A
G
A
G
T
C
A
T


H14
12.2
C
C
G
G
G
C
G
G
G
A
T
A
C
T
G
C








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%

























custom character

100.0%





















(※) 1~40: (in this order)rs1243872, rs2145925, rs2025126, rs1885373, rs1885374, GA007473, rs2295794, rs4879926, GA007477, rs867194, rs11541908, rs741917, rs7862485, rs2756894, rs2249250, rs2295795, rs877365, rs2737273, rs2296797, rs2295798, rs1534847, rs7873822, rs273274, rs10972567, rs3763630, rs10814274, rs3750434, rs1570246, GA025684, rs1570248, rs1570249, rs34478611, rs1322045, rs1951432, GA025687, rs10814275, rs10758320, rs4878628, rs10758321 and rs10758322













TABLE 19





Gene name CREB5

















Linkage disequilibrium block No.

















1

6

8

9

10








Hap-
Gene polymorphism name (※)


































lotype
Frequen-
1
2


5
6
H
Frequen-
7
8
9

11

H
Frequen-
13
14
H
Frequen-
15
16
H
Frequen-
17
18


(H) No.
cy (%)
Tag
Tag
3
4
Tag
Tag
No.
cy (%)
Tag
Tag
Tag
10
Tag
12
No.
cy (%)
Tag
Tag
No.
cy (%)
Tag
Tag
No.
cy (%)
Tag
Tag





H1
73.2
G
T
A
A
G
C
H6
13.1
C
C
G
C
A
G
H11
48.1
T
G
H14
49.2
T
A
H17
87.0
G
T


H2
6.7
G
C
G
A
G
T
H7
13.9
C
A
A
C
G
G
H12
35.4
C
C
H15
50.1
C
A
H18
5.1
G
G


H3
16.1
G
C
G
A
A
T
H8
16.5
C
C
G
C
G
G
H13
18.5
C
G
H16
30.3
C
G
H19
7.9
A
G


H4
1.2
C
C
G
A
G
T
H9
12.8
T
A
A
C
G
A
. . .



. . .



. . .





H5
1.2
G
C
G
A
G
C
H10
2.0
C
C
A
G
G
G




















. . .
Haplotypes which are estimated to occur at a frequency of less than 1%



































100.0%







100.0%







100.0%







100.0%














Linkage disequilibrium block No.

















11

12

13

15

16








Hap-
Gene polymorphism name (※)































lotype
Frequen-
19
20
H
Frequen-
21
22
23
H
Frequen-
24
25
H
Frequen-
26
27
28
H
Frequen-
29
30
31




(H) No.
cy (%)
Tag
Tag
No.
cy (%)
Tag
Tag
Tag
No.
cy (%)
Tag
Tag
No.
cy (%)
Tag
Tag
Tag
No.
cy (%)
Tag
Tag
Tag
32
33





H20
71.2
T
A
H24
40.1
G
C
C
H28
42.1
A
A
H31
26.8
G
T
C
H35
60.6
C
C
C
G
C


H21
3.4
T
G
H25
6.4
G
C
T
H29
4.3
G
A
H32
33.1
A
C
T
H36
21.3
T
G
A
G
C


H22
24.0
C
G
H26
28.7
A
C
T
H30
53.5
G
G
H33
25.2
A
T
T
H37
1.2
C
C
A
G
C


H23
1.2
C
A
H27
24.0
G
T
T
. . .



H34
15.0
A
T
C
H38
16.9
T
T
C
A
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%
































100.0%



100.0%




100.0%



100.0%




100.0%

















Linkage disequilibrium block No.















25

26

27

32








Hap-
Gene polymorphism name (※)































lotype
Frequen-
34
35
H
Frequen-
36
37
38
39
H
Frequen-
40

H
Frequen-
42
43
44
45

47


50


(H) No.
cy (%)
Tag
Tag
No.
cy (%)
Tag
Tag
Tag
Tag
No.
cy (%)
Tag
41
No.
cy (%)
Tag
Tag
Tag
Tag
46
Tag
48
49
Tag





H39
29.9
T
A
H42
41.7
G
A
G
G
H47
93.2
A
A
H49
58.7
A
T
C
G
T
G
T
T
T


H40
32.3
C
G
H43
29.5
G
A
A
A
H48
8.7
G
G
H50
13.0
A
T
C
G
T
G
T
T
C


H41
37.8
T
G
H44
16.3
A
G
G
A
. . .



H51
5.4
A
T
A
C
C
G
T
C
C


. . .



H45
6.3
G
A
G
A




H52
4.3
C
T
A
C
T
T
C
T
C






H46
5.1
G
G
G
A




H53
4.3
C
T
A
C
T
G
C
T
C






. . .









H54
12.2
A
C
C
G
T
G
T
T
T
















H55
1.2
A
T
A
G
T
G
T
T
C









Haplotypes which are estimated to occur at a frequency of less than 1%
































100.0%



100.0%





100.0%



100.0%





















Linkage disequilibrium block No.













33

35

40








Hap-
Gene polymorphism name (※)


























lotype
Frequen-
51
52
53
54


H
Frequen-
57
58
H
Frequen-
59







(H) No.
cy (%)
Tag
Tag
Tag
Tag
55
56
No.
cy (%)
Tag
Tag
No.
cy (%)
Tag
60
61
62
63
64





H56
83.4
T
G
G
C
A
A
H61
84.6
C
T
H65
94.5
G
G
C
T
T
C


H57
1.2
T
A
A
T
G
C
H62
9.1
T
C
H65
3.9
A
A
T
C
G
A


H58
7.5
G
A
A
C
G
C
H63
6.3
T
T
. . .









H59
2.8
T
A
G
C
A
A
. . .













H60
4.3
T
A
A
C
G
C




















. . .
Haplotypes which are estimated to occur at a frequency of less than 1%



























100.0%







100.0%



100.0%











(※) 1~64: (in this order)rs4722778, rs177479, rs177480, rs11981754, rs177486, rs177498, rs10229500, rs10243659, rs4722785, rs16874503, rs11772815, rs6958133, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs6952227, rs42695, rs1029897, rs10233653, rs6955105, rs17156699, rs177572, rs177573, rs177580, rs177581, rs12666636, rs177584, rs177585, rs1008262, rs310353, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs917275, rs17157048, rs6462098, rs10951201, rs13311248, rs12540480, rs10265166, rs7798774, rs7799248, rs4972081, rs12533079, rs7806547, rs6462100, rs6979352, rs6950574, rs4722835, rs721993, rs2237351, rs3735566, rs11975539, rs6462107, rs2190306, rs4719955 and rs10228137













TABLE 20





Gene name ATF2

















Linkage disequilibrium block No.










1
2








Hap-
Gene polymorphism name (※)
























lotype
Frequen-
1
2
3
4
5













No.
cy (%)
Tag
Tag
Tag
Tag
Tag
6
7
8
9
10
11
12
13
14
15
16





H1
26.3
T
C
A
A
G
C
C
A
G
C
G
T
C
A
A
A


H2
20.9
G
C
A
G
G
T
T
G
A
T
A
C
A
C
C
G


H3
36.2
T
T
C
G
A
T
T
G
A
T
A
C
A
C
C
G


H4
16.2
T
T
A
G
A
T
T
G
A
T
A
C
A
C
C
G







G
G
T
T
G
A
T
A
C
A
C
C
G








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%










100.0%








Linkage disequilibrium block No. 2


Hap-

Gene polymorphism name (※)























lotype
Frequen-




21






28





No.
cy (%)
17
18
19
20
Tag
22
23
24
25
26
27
Tag
29
30
31





H5
14.6
C
T
T
C
C
C
G
A
C
A
C
T
T
C
T


H6
8.8
T
C
C
T
T
T
A
G
A
C
T
G
C
G
C


H7
40.3
T
C
C
T
T
T
A
G
A
C
T
T
C
G
C


H8
28.3
T
C
C
T
T
T
A
G
A
C
T
G
C
G
C


H9
4.3
T
C
C
T
C
C
G
A
C
A
C
T
T
G
T








. . .
Haplotypes which are estimated to occur at a frequency of less than 1%
























100.0%




















(※) 1~31: (in this order)rs1153711, rs1153702, rs7583431, rs2302663, rs3845744, s212349, rs212347, rs12693057, rs1153685, rs212360, rs212361, rs2072538, rs1205399, rs1153676, rs7566401, rs7578569, rs3755490, rs13388308, rs11888507, rs10497434, rs268214, rs166531, rs268228, rs268229, rs268230, rs268231, rs10497435, rs1982235, rs268237, rs13030474 and rs268174






As shown in Table 17, at least 7 haplotypes were estimated as the haplotype of CREB1 subtype gene polymorphism in the Japanese healthy subjects, and among these, there were 6 haplotypes observed at a high frequency of 3% or higher (haplotype Nos. H1 to H6). Incidentally, specific description regarding haplotypes which are estimated to occur at a frequency of less than 1% was omitted from Table 17.


In addition, as shown in Table 18, at least 14 haplotypes were estimated as the haplotype of CREB3 subtype gene polymorphism in the Japanese healthy subjects, and among these, there were 11 haplotypes observed at a high frequency of 3% or higher (haplotype Nos. H1 to H5, H8 to H10, and H12 to H14). Incidentally, specific description regarding haplotypes which are estimated to occur at a frequency of less than 1% was omitted from Table 18.


Moreover, as shown in Table 19, at least 65 haplotypes were estimated as the haplotype of CREB5 subtype gene polymorphism in the Japanese healthy subjects, and among these, there were 57 haplotypes observed at a high frequency of 3% or higher (haplotype Nos. H1 to H3, H6 to H9, H11 to H22, H24 to H36, H38 to H54, H56, H58, and H60 to H65). Incidentally, specific description regarding haplotypes which are estimated to occur at a frequency of less than 1% was omitted from Table 19.


Furthermore, as shown in Table 20, at least 9 haplotypes were estimated as the haplotype of ATF2 subtype gene polymorphism in the Japanese healthy subjects, and among these, there were 9 haplotypes observed at a high frequency of 3% or higher (haplotype Nos. H1 to H9). Incidentally, specific description regarding haplotypes which are estimated to occur at a frequency of less than 1% was omitted from Table 20.


As well as an analysis of the haplotype frequencies in the haplotype analysis shown in Tables 17, 18, 19 and 20, a linkage disequilibrium analysis was carried out. The results are shown in FIG. 1 to FIG. 8. The linkage disequilibrium among the CREB1 subtype gene polymorphisms in the Japanese healthy subjects is shown in FIG. 1 and FIG. 2. In addition, the linkage disequilibrium among the CREB3 subtype gene polymorphisms in the Japanese healthy subjects is shown in FIG. 3 and FIG. 4. Moreover, the linkage disequilibrium among the CREB5 subtype gene polymorphisms in the Japanese healthy subjects is shown in FIG. 5 and FIG. 6. Furthermore, the linkage disequilibrium among the ATF2 subtype gene polymorphisms in the Japanese healthy subjects is shown in FIG. 7 and FIG. 8.


A linkage disequilibrium block was estimated from the results of the linkage disequilibrium analysis (FIG. 1 to FIG. 8) using Haploview.


In FIG. 1, a D′ value, which is an index of a linkage disequilibrium between SNP and SNP, is calculated, and the resulting value (two places of decimals) is written in the square at the intersection of squares continued from each SNP to the lower left direction or the lower right direction. Further, an r2 value, which is a more stringent index of the linkage disequilibrium, is calculated in the same manner, and the resulting value is written in the same square as defined above in FIG. 2. It is to be noted that the square in which no numbers are written indicates that the D′ or r2 value is 1. Also, the same shall apply to FIGS. 3 and 4, FIGS. 5 and 6, and FIGS. 7 and 8.


When focusing attention on the D′ values in FIG. 1, a complete linkage disequilibrium (D′=1) was observed in many combinations of gene polymorphisms. Further, when focusing attention on the r2 values in FIG. 2, it was found that several gene polymorphisms showed a strong linkage disequilibrium (r2=1). It was found that suitable Tag SNPs representing these linkage disequilibrium blocks are rs16839837, rs2360969, rs10932200, rs2551946, rs4234080 and rs7594560.


In addition, when focusing attention on the D′ values in FIG. 3, a complete linkage disequilibrium (D′=1) was observed in many combinations of gene polymorphisms. Further, when focusing attention on the r2 values in FIG. 4, it was found that several gene polymorphisms showed a strong linkage disequilibrium (r2=1). It was found that suitable Tag SNPs representing these linkage disequilibrium blocks are rs1243872, rs2145925, rs2025126, GA007477, rs11541908, rs3763630, rs10814274, rsGA025684, rs10814275, rs4878628 and rs10758321.


When focusing attention on the D′ values in FIG. 5, a complete linkage disequilibrium (D′=1) was observed in many combinations of gene polymorphisms. Further, when focusing attention on the r2 values in FIG. 6, it was found that several gene polymorphisms showed a strong linkage disequilibrium (r2=1). It was found that suitable Tag SNPs representing these linkage disequilibrium blocks are rs4722778, rs177479, rs177486, rs177498, rs10229500, rs10243659, rs4722785, rs11772815, rs16874525, rs17715174, rs6953524, rs10239810, rs17156649, rs1811248, rs887623, rs740988, rs6952227, rs42695, rs1029897, rs10233653, rs6955105, rs17156699, rs177572, rs177573, rs177580, rs177581, rs12666636, rs1008262, rs310353, rs41273, rs1637457, rs17156919, rs41276, rs160375, rs17157048, rs6462098, rs10951201, rs13311248, rs10265166, rs6972081, rs12533079, rs7806547, rs6462100, rs6979352, rs721993, rs2237351 and rs3735566.


In addition, when focusing attention on the D′ values in FIG. 7, a complete linkage disequilibrium (D′=1) was observed in many combinations of gene polymorphisms. Further, when focusing attention on the r2 values in FIG. 8, it was found that several gene polymorphisms showed a strong linkage disequilibrium (r2=1). It was found that suitable Tag SNPs representing these linkage disequilibrium blocks are rs1153711, rs1153702, rs7583431, rs2302663, rs3845744, rs268214 and rs1982235.


Further, a linkage disequilibrium block was estimated from the results of the linkage disequilibrium analysis (FIG. 1 to FIG. 8) using Haploview. As a result, with regard to SNP in the CREB1 subtype gene shown in FIG. 1 and FIG. 2, one linkage disequilibrium block was confirmed in a region ranging from the 5′ flanking region to the 3′ flanking region. In a similar manner, with regard to SNP in the CREB3 subtype gene shown in FIG. 3 and FIG. 4, one linkage disequilibrium block was confirmed in the 5′ flanking region, and one linkage disequilibrium block was confirmed in a region ranging from the 5′ flanking region to the 3′ flanking region. In a similar manner, with regard to SNP in the CREB5 subtype gene shown in FIG. 5 and FIG. 6, one linkage disequilibrium block was confirmed in the 5′ flanking region, 15 linkage disequilibrium blocks were confirmed in the intron region, and one linkage disequilibrium block was confirmed in a region ranging from the noncoding region of exon to the 3′ flanking region. In a similar manner, with regard to SNP in the ATF2 subtype gene shown in FIG. 7 and FIG. 8, one linkage disequilibrium block was confirmed in a region ranging from the 5′ flanking region to the intron region, and one linkage disequilibrium block was confirmed in the 3′ flanking region.


Example 2

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs10932200) and Required Administration Amount of Analgesic>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and the required administration amount of analgesic was examined. Genomic DNA was extracted from the blood of 247 patients undergoing surgery (orthognathic surgery), and one gene polymorphism (rs10932200) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and the required administration amount of analgesic after the surgery was analyzed.


Incidentally, as the analgesic, fentanyl, which is mainly administered intravenously through a PCA (patient-controlled analgesia) pump, was used.


As a result, as shown in the following Table 21 and FIG. 9, in the case of patients who had a minor allele (C) of the CREB1 subtype gene polymorphism (rs10932200) and underwent the surgery, the required administration amount (logarithmic transformation) of analgesic after the surgery was statistically significantly high in correlation with the number of alleles which they had. Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs10932200), the sensitivity to analgesic can be predicted.


Using the median (2.222 (μg/kg)) of the required administration amounts of fentanyl in 24 hours after the surgery as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “high analgesic sensitivity group” and a “low analgesic sensitivity group,” respectively, and the groups were then stratified in terms of the rs10932200 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 54% and 46% of patients were determined to belong to the high analgesic sensitivity group and the low analgesic sensitivity group, respectively, in the A/A patient group. In contrast, in the C/C patient group, 23% and 77% of patients were determined to belong to the high analgesic sensitivity group and the low analgesic sensitivity group, respectively.









TABLE 21







Effect of CREB1 rs10932200 polymorphism on required


amount of analgesic administered in 24 hours after surgery


in patients treated with analgesic in surgery


(orthognathic surgery)(descriptive statistics by gender)















Number of test


CREB1

Average
Standard
subjects


rs10932200
Gender

deviation
(subjects)














A/A
F
2.47
2.06
77



M
2.42
2.57
36



Total
2.46
2.23
113


A/C
F
3.23
2.65
75



M
2.05
1.97
33



Total
2.87
2.51
108


C/C
F
4.37
3.32
13



M
4.94
2.70
13



Total
4.65
2.98
26


Total
F
2.96
2.50
165



M
2.67
2.54
82



Total
2.87
2.51
247





※Required administration amount (μg/kg) of analgesic in 24 hours after surgery






Example 3

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs10932200) and Pain Sensitivity>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and pain sensitivity was examined. Genomic DNA was extracted from the blood of 247 patients undergoing surgery (orthognathic surgery), and one gene polymorphism (rs10932200) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and the measurement of pain perception latency due to finger immersion in ice water before the surgery was analyzed.


As a result, as shown in the following Table 22 and FIG. 10, in the case of patients who had a minor allele (C) of the CREB1 subtype gene polymorphism (rs10932200) and underwent the surgery, the measurement result (logarithmic transformation) of pain perception latency was statistically significantly low in correlation with the number of alleles which they had. Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs10932200), the sensitivity to pain can be predicted.


Using the median (15 sec) of the measurement results of pain perception latency due to finger immersion in ice water before the surgery as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “high pain sensitivity group” and a “low pain sensitivity group,” respectively, and the groups were then stratified in terms of the rs10932200 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 45% and 55% of patients were determined to belong to the high pain sensitivity group and the low pain sensitivity group, respectively, in the A/A patient group. In contrast, in the A/C or C/C patient group, 55% and 45% of patients were determined to belong to the high pain sensitivity group and the low pain sensitivity group, respectively.









TABLE 22







Effect of CREB1 rs10932200 polymorphism on


measurement results of pain sensitivity before surgery


in patients treated with analgesic in surgery


(orthognathic surgery) (descriptive statistics by gender)















Number of test


CREB1

Average
Standard
subjects


rs10932200
Gender

deviation
(subjects)














A/A
F
20.95
18.21
76



M
27.96
32.07
36



Total
23.20
23.65
112


A/C
F
17.83
15.13
75



M
21.91
17.12
33



Total
19.07
15.80
108


C/C
F
12.07
8.03
14



M
17.73
9.86
13



Total
14.80
9.24
27


Total
F
18.78
16.33
165



M
23.90
24.28
82



Total
20.48
19.43
247





※Measurement (sec) of pain perception latency due to finger immersion in ice water before surgery






Example 4

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs10932200) and Pain Sensitivity>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and pain sensitivity was examined. Genomic DNA was extracted from the blood of 247 patients undergoing surgery (orthognathic surgery), and one gene polymorphism (rs10932200) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and the measurement of the scale of the intensity of pain (VAS: on visual analogue scale) 24 hours after the surgery was analyzed.


As a result, as shown in the following Table 23 and FIG. 11, in correlation with the measurement result (logarithmic transformation) of the scale of the intensity of pain (VAS) 24 hours after the surgery, patients who had a minor allele (T) of the CREB1 subtype gene polymorphism (rs10932200) and underwent the surgery had a value of VAS (logarithmic transformation) that was statistically significantly high in correlation with the number of alleles which they had. Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs10932200), the sensitivity to pain or analgesic after the surgery can be more easily predicted.


Using the median (24 mm) of the VAS values 24 hours after the surgery as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “low pain sensitivity group” and a “high pain sensitivity group,” respectively, and the groups were then stratified in terms of the rs10932200 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 54% and 46% of patients were determined to belong to the low pain sensitivity group and the high pain sensitivity group, respectively, in the A/A patient group. In contrast, in the A/C or C/C patient group, 47% and 53% of patients were determined to belong to the low pain sensitivity group and the high pain sensitivity group, respectively.









TABLE 23







Effect of CRB1 rs10932200 polymorphism on measurement


results of VAS (intensity of pain on visual analogue scale) after


surgery in patients administered with analgesic in surgery


(orthognathic surgery)(descriptive statistics by gender)















Number of test


CREB1

Average
Standard
subjects


rs10932200
Gender

deviation
(subjects)














A/A
F
24.17
19.35
77



M
21.94
18.59
36



Total
23.46
19.06
113


A/C
F
28.51
24.49
75



M
26.33
20.06
33



Total
27.84
23.15
108


C/C
F
37.31
17.78
13



M
34.31
21.78
13



Total
35.81
19.54
26


Total
F
27.18
21.92
165



M
25.67
19.92
82



Total
26.68
21.25
247





※Measurement (mm) of scale of intensity of pain by VAS after surgery






Example 5

<Correlation Between ATF2 Subtype Gene Polymorphism (Rs7583431) and Analgesic Effect of Fentanyl>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and pain sensitivity was examined. Genomic DNA was extracted from the blood of 247 patients undergoing surgery (orthognathic surgery), and one gene polymorphism (rs7583431) in the ATF2 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and the analgesic effect of fentanyl that was evaluated based on the measurement of a difference in threshold of pain perception latency due to finger immersion in ice water after administration of an analgesic before the surgery was analyzed.


As a result, as shown in the following Table 24 and FIG. 12, in correlation with the measurement result (logarithmic transformation) of a difference in threshold of pain perception latency due to finger immersion in ice water before the surgery, patients who had a minor allele (C) of the ATF2 subtype gene polymorphism (rs7583431) and underwent the surgery had a difference in threshold of pain perception latency (logarithmic transformation) due to finger immersion in ice water before the surgery that was statistically significantly low in correlation with the number of alleles which they had. Accordingly, by analyzing the ATF2 subtype gene polymorphism (rs7583431), the sensitivity to analgesic before surgery can be more easily predicted.


Using the median (13 sec) of the measurement results of a difference in threshold of pain perception due to finger immersion in ice water before the surgery as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “low analgesic sensitivity group” and a “high analgesic sensitivity group,” respectively, and the groups were then stratified in terms of the rs7583431 polymorphism of the ATF2 gene. As a result, in terms of this polymorphism, 40% and 60% of patients were determined to belong to the low analgesic sensitivity group and the high analgesic sensitivity group, respectively, in the A/A patient group. In contrast, in the C/C patient group, 71% and 29% of patients were determined to belong to the low analgesic sensitivity group and the high analgesic sensitivity group, respectively.









TABLE 24







Effect of ATF2 rs7583431 polymorphism on measurement


results of difference in threshold of pain sensitivity before


surgery in patients treated with analgesic in surgery


(orthognathic surgery) (descriptive statistics by gender)















Number of test


ATF2

Average
Standard
subjects


rs7583431
Gender

deviation
(subjects)














A/A
F
26.69
32.69
64



M
34.78
36.28
32



Total
29.39
33.96
96


A/C
F
26.91
36.11
76



M
28.73
42.97
44



Total
27.62
38.60
120


C/C
F
14.24
25.36
25



M
12.00
19.07
6



Total
13.81
24.00
31


Total
F
24.93
33.49
165



M
29.87
39.24
82



Total
26.57
35.50
247





※Measurement (sec) of difference in threshold of pain perception latency due to finger immersion in ice water before surgery






Example 6

<Correlation Between Each of CREB1, CREB3, CREB5 and ATF2 Subtype Gene Polymorphisms, and Each of Required Administration Amount of Analgesic, Pain Sensitivity, and Analgesic Effect of Fentanyl>


In the same manner as Examples 2 to 5 above, a correlation between each gene polymorphism of the cyclic AMP responsive element binding protein gene, and each of the required administration amount of analgesic, pain sensitivity, and the analgesic effect of fentanyl was examined. Genomic DNA was extracted from the blood of 355 patients undergoing surgery (orthognathic surgery), and gene polymorphisms in the CREB1, CREB3, CREB5 and ATF2 subtype genes (Tag SNPs in linkage disequilibrium blocks and individual SNPs outside of the linkage disequilibrium blocks) were determined. Then, a correlation between these results of determination of the gene polymorphisms, and each of the required administration amount of analgesic in 24 hours after the surgery, pain sensitivity before the surgery, pain sensitivity (VAS) 24 hours after the surgery and before the surgery, and the analgesic effect of fentanyl, was analyzed.


Incidentally, as the analgesic, fentanyl, which is mainly administered intravenously through a PCA (patient-controlled analgesia) pump, was used.


As a result, the gene polymorphisms of the CREB1, CREB3, CREB5 and ATF2 subtype genes showed a statistically significant correlation with any phenotype of the required administration amount of analgesic in 24 hours after the surgery, pain sensitivity before the surgery, pain sensitivity (VAS) 24 hours after the surgery and before the surgery, and the analgesic effect of fentanyl. Accordingly, by analyzing these gene polymorphisms, the sensitivity to analgesic, pain sensitivity, and the analgesic effect of fentanyl can be predicted.


The results of the present example, as well as the results of Examples 2 to 5, are collectively shown in the following Table 25.









TABLE 25







Tag SNPs in linkage disequilibrium (LD) blocks and SNPs outside of LD blocks found to have significant association with phenotypes




















Minor






Chromo-
LD


allele





Gene
some
block


fre-


Statistics


















region
No.
No.
Tag SNP
Position
quency
Phenotype
N
BETA
SE
R2
P





















CREB1
2
 1
rs16839837
208079256
0.232
Required amount of
247
−0.1347
0.06718
0.01613
0.04613








fentanyl administered













in 24 hours













after surgery







CREB1
2
 1
rs2360969 
208081241
0.126
Required amount of
353
0.1453
0.07182
0.01153
0.04377








fentanyl administered













in 24 hours













after surgery







CREB1
2
 1
rs10932200
208095930
0.315
Required amount of
247
0.2211
0.0597
0.05301
0.000263








fentanyl administered













in 24 hours













after surgery







CREB1
2
 1
rs10932200
208095930
0.315
VAS 24 hours after
247
0.3084
0.1305
0.02228
0.01891








surgery







CREB1
2
 1
rs10932200
208095930
0.315
pain perception
247
−0.14
0.06043
0.02145
0.02129








latency before













surgery







CREB1
2
 1
rs4234080 
208197346
0.193
Required amount of
247
−0.2078
0.07133
0.03348
0.003906








fentanyl administered













in 24 hours













after surgery







CREB3
9
 1
rs2145925 
35679373 
0.39 
Required amount of
246
−0.1258
0.05884
0.01838
0.03358








fentanyl administered













in 24 hours













after surgery







CREB3
9
 1
rs2025126 
35686625 
0.366
Required amount of
247
−0.1281
0.06011
0.01821
0.03402








fentanyl administered













in 24 hours













after surgery







CREB3
9
 2
rs4878628 
35756561 
0.134
VAS 24 hours
253
−0.4888
0.1739
0.0305
0.005343








after surgery







CREB5
7
 1
rs4722778 
28278588 
0.256
Required amount of
126
−0.2062
0.09913
0.03371
0.03961








fentanyl administered













in 24 hours













after surgery







CREB5
7

rs2175738 
28304605 
0.161
Required amount of
126
−0.3309
0.1141
0.06356
0.0044








fentanyl administered













in 24 hours













after surgery







CREB5
7

rs2175738 
28304605 
0.161
VAS 24 hours
126
−0.5459
0.2322
0.04267
0.0203








after surgery







CREB5
7

rs17156579
28327642 
0.055
Required amount of
253
−0.306
0.1293
0.02184
0.01868








fentanyl administered













in 24 hours













after surgery







CREB5
7

rs17156603
28348671 
0.398
pain perception
253
−0.1105
0.05533
0.01564
0.04692








latency before













surgery







CREB5
7

rs17642145
28355789 
0.008
pain perception
247
−0.7505
0.319
0.02209
0.01943








latency before













surgery







CREB5
7
 5
rs4722785 
28356666 
0.488
Required amount of
253
−0.1142
0.05564
0.01651
0.04114








fentanyl administered













in 24 hours













after surgery







CREB5
7
 6
rs16874525
28357707 
0.461
VAS 24 hours
252
0.2455
0.121
0.01621
0.04345








after surgery







CREB5
7
10
rs17156649
28386945 
0.079
Analgesic effect
247
−0.6983
0.2917
0.02285
0.01743








of fentanyl













before surgery







CREB5
7

rs7794304 
28394916 
0.457
pain perception
354
−0.1154
0.05005
0.01487
0.02175








latency before













surgery







CREB5
7
12
rs1029897 
28400928 
0.409
pain perception
353
−0.09985
0.04979
0.01133
0.04568








latency before













surgery







CREB5
7

rs4722793 
28404054 
0.405
pain perception
252
−0.1225
0.05698
0.01817
0.03246








latency before













surgery







CREB5
7
13
rs10233653
28406845 
0.421
pain perception
354
−0.119
0.05004
0.0158
0.01796








latency before













surgery







CREB5
7
13
rs6955105 
28409814 
0.465
pain perception
354
−0.1222
0.0481
0.01802
0.01147








latency before













surgery







CREB5
7

rs17156685
28431959 
0.087
pain perception
247
−0.2359
0.1053
0.02007
0.02598








latency before













surgery







CREB5
7

rs17156694
28451480 
0.441
pain perception
253
−0.1379
0.05492
0.02449
0.0127








latency before













surgery







CREB5
7
15
rs177572 
28460820 
0.331
pain perception
253
0.1454
0.06446
0.01988
0.02492








latency before













surgery







CREB5
7

rs177574 
28461566 
0.047
Analgesic effect
247
0.7803
0.3685
0.01798
0.03521








of fentanyl













before surgery







CREB5
7

rs177576 
28463632 
0.327
Analgesic effect
247
0.4179
0.1582
0.02771
0.008764








of fentanyl













before surgery







CREB5
7

rs13437706
28465016 
0.374
Analgesic effect
253
0.3854
0.1501
0.02559
0.01083








of fentanyl













before surgery







CREB5
7
16
rs177580 
28465195 
0.382
Analgesic effect
253
−0.3177
0.1503
0.01749
0.03554








of fentanyl













before surgery







CREB5
7
16
rs12666636
28465748 
0.224
VAS 24 hours after
354
−0.2569
0.1182
0.01325
0.03036








surgery







CREB5
7

rs216715 
28539407 
0.287
VAS 24 hours after
354
−0.2213
0.1069
0.01202
0.03923








surgery







CREB5
7

rs10951197
28540048 
0.39 
VAS 24 hours after
253
−0.248
0.1181
0.01726
0.03676








surgery







CREB5
7

rs160335 
28554342 
0.496
VAS 24 hours after
247
0.2437
0.122
0.01602
0.04693








surgery







CREB5
7
25
rs310353 
28603649 
0.299
VAS 24 hours after
247
−0.2846
0.1258
0.02047
0.02451








surgery







CREB5
7

rs310359 
28606311 
0.217
Required amount of
126
0.2233
0.1071
0.0339
0.03904








fentanyl administered













in 24 hours after













surgery







CREB5
7
26
rs1637457 
28615963 
0.22 
pain perception
253
−0.1327
0.06564
0.01603
0.04422








latency before













surgery







CREB5
7

rs41348  
28683373 
0.386
pain perception
354
−0.1254
0.04985
0.01765
0.01235








latency before













surgery







CREB5
7

rs886816 
28689932 
0.181
Required amount of
354
0.1596
0.06074
0.01924
0.008961








fentanyl administered













in 24 hours after













surgery







CREB5
7
32
rs17157048
28703823 
0.087
Required amount of
354
−0.2175
0.09867
0.01361
0.02816








fentanyl administered













in 24 hours after













surgery







CREB5
7
32
rs10951201
28711867 
0.154
Required amount of
354
−0.2078
0.07776
0.01988
0.007896








fentanyl administered













in 24 hours after













surgery







CREB5
7
32
rs10265166
28713821 
0.043
Analgesic effect
253
0.9373
0.4605
0.01624
0.04285








of fentanyl













before surgery







CREB5
7
32
rs6972081 
28715571 
0.287
pain perception
354
−0.1289
0.05762
0.01402
0.02588








latency before













surgery







CREB5
7
33
rs6462100 
28720620 
0.134
Required amount of
354
−0.2022
0.08
0.01782
0.01194








fentanyl administered













in 24 hours after













surgery







CREB5
7

rs2066979 
28730634 
0.276
pain perception
250
−0.1395
0.06557
0.01792
0.0344








latency before













surgery







CREB5
7

rs10486591
28733403 
0.272
pain perception
354
−0.1231
0.05973
0.01192
0.04007








latency before













surgery







CREB5
7
35
rs721993 
28745985 
0.154
Required amount of
354
−0.1698
0.07741
0.01348
0.02898








fentanyl administered













in 24 hours after













surgery







CREB5
7
40
rs3735566 
28831314 
0.039
Required amount of
247
−0.2901
0.1445
0.01618
0.04582








fentanyl administered













in 24 hours after













surgery







ATF2
2
 1
rs1153702 
175629003
0.476
Analgesic effect
354
0.2496
0.1214
0.01188
0.04044








of fentanyl













before surgery







ATF2
2
 1
rs7583431 
175630628
0.366
Analgesic effect
247
−0.5442
0.1582
0.04606
0.000685








of fentanyl













before surgery







ATF2
2

rs1153699 
175631032
0.472
Analgesic effect
247
0.3865
0.1524
0.02558
0.01184








of fentanyl













before surgery







ATF2
2

rs1153699 
175631032
0.472
pain perception
247
0.1173
0.0577
0.01659
0.04312








latency before













surgery







ATF2
2
 2
rs268214 
175741461
0.189
Analgesic effect
247
0.4065
0.1863
0.01907
0.03004








of fentanyl













before surgery









Example 7

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Required Administration Amount of Analgesic>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and the required administration amount of analgesic was examined. Genomic DNA was extracted from the blood of 354 patients undergoing surgery (orthognathic surgery), and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and the required administration amount of analgesic after the surgery was analyzed.


Incidentally, as the analgesic, fentanyl, which is mainly administered intravenously through a PCA (patient-controlled analgesia) pump, was used.


As a result, as shown in the following Table 26 and FIG. 13, in the case of patients who had a minor allele (C) of the CREB1 subtype gene polymorphism (rs2952768) and underwent the surgery, the required administration amount (logarithmic transformation) of analgesic after the surgery was statistically significantly high in correlation with the number of alleles which they had. Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs2952768), the sensitivity to analgesic can be predicted.


Using the median (2.268 (μg/kg)) of the required administration amount of fentanyl in 24 hours after the surgery as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “high analgesic sensitivity group” and a “low analgesic sensitivity group,” respectively, and the groups were then stratified in terms of the rs2952768 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 53% and 47% of patients were determined to belong to the high analgesic sensitivity group and the low analgesic sensitivity group, respectively, in the T/T or T/C patient group. In contrast, in the C/C patient group, 22% and 78% of patients were determined to belong to the high analgesic sensitivity group and the low analgesic sensitivity group, respectively.









TABLE 26







Effect of CREB1 rs2952768 polymorphism on required


amount of analgesic administered in 24 hours after


surgery in patients treated with analgesic in surgery


(orthognathic surgery)(descriptive statistics by gender)















Number of test


CREB1

Average
Standard
subjects


rs2952768
Gender

deviation
(subjects)














T/T
F
2.78
2.43
101



M
2.38
2.46
58



Total
2.64
2.44
159


T/C
F
2.99
2.42
108



M
2.38
2.50
52



Total
2.79
2.46
160


C/C
F
4.80
3.05
20



M
5.08
2.55
15



Total
4.92
2.81
35


Total
F
3.05
2.53
229



M
2.71
2.62
125



Total
2.93
2.57
354





※Required amount (μg/kg) of analgesic administered in 24 hours after surgery






Example 8

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Required Administration Amount of Analgesic>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and the required administration amount of analgesic was examined. Genomic DNA was extracted from the blood or the oral mucosa of 112 patients undergoing surgery (abdominal surgery), and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and the required administration amount of analgesic after the surgery was analyzed.


Incidentally, as the analgesic, analgesics such as pentazocine and pethidine, which are mainly administered intravenously, buprenorphine, diclofenac and indomethacin, which are mainly administered as a suppository, flurbiprofen axetil, which is injected by intravenous infusion, as well as epidural morphine and marcain were used.


Incidentally, the total amount of each analgesic in terms of fentanyl means the total amount of analgesic (mg) in the case where the amount of each administered analgesic is converted to a value corresponding to the potency equivalent to fentanyl. The conversion of the amount of each analgesic to a value corresponding to the potency of fentanyl was carried out by setting a potency equivalent to 0.3 mg of fentanyl at 90 mg of pentazocine, 360 mg in the case of pethidine (Opystan), 1 mg in the case of buprenorphine (Lepetan), 300 mg in the case of diclofenac (Voltaren), 300 mg in the case of flurbiprofen axetil (Ropion), and 6 mg in the case of epidural morphine.


As a result, as shown in the following Table 27 and FIG. 14, in the case of patients who did not have a major allele (T) of the CREB1 subtype gene polymorphism (rs2952768) and underwent the surgery, the required administration amount (logarithmic transformation) of analgesic after the surgery was statistically significantly higher compared with patients having the aforementioned allele (T). Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs2952768), the sensitivity to each analgesic can be predicted.


Using the median (2.453 (μg/kg)) of the required total administration amount of each analgesic in terms of fentanyl in 24 hours after the surgery as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “high analgesic sensitivity group” and a “low analgesic sensitivity group,” respectively, and the groups were then stratified in terms of the rs2952768 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 52% and 48% of patients were determined to belong to the high analgesic sensitivity group and the low analgesic sensitivity group, respectively, in the T/T or T/C patient group. In contrast, in the C/C patient group, 33% and 67% of patients were determined to belong to the high analgesic sensitivity group and the low analgesic sensitivity group, respectively.









TABLE 27







Effect of CREB1 rs2952768 polymorphism on required


amount of analgesic administered in 24 hours after


surgery in patients treated with analgesic in surgery


(abdominal surgery) (descriptive statistics by gender)















Number of test


CREB1

Average
Standard
subjects


rs2952768
Gender

deviation
(subjects)














T/T
F
0.93
1.35
18



M
0.43
0.63
26



total
0.63
1.01
44


T/C
F
0.67
1.32
28



M
0.78
1.01
28



Total
0.72
1.17
56


C/C
F
1.12
1.34
6



M
1.78
1.61
6



Total
1.45
1.45
12


Total
F
0.81
1.32
52



M
0.73
1.00
60



Total
0.77
1.15
112





※Required total amount (μg/kg) of analgesic administered in terms of fentanyl in 24 hours after surgery






Example 9

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Severity of Drug Dependence in Methamphetamine-Dependent Patients>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and vulnerability to drug dependence associated with the severity of drug dependence was examined. Genomic DNA was extracted from the blood of 194 methamphetamine-dependent patients, and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. The patients were classified based on the presence or absence of the abuse of many drugs, and a comparison was made among them. The results are shown in the following Table 28. Here, the methamphetamine-dependent patients were classified into two groups, namely, a patient group involving the abuse of drugs other than stimulants (two or more types) and a patient group involving the abuse of a single drug (only one type).


As a result, as is clear from the following Table 28, a significant difference in genotype frequency was observed in terms of the gene polymorphism (rs2952768), and in methamphetamine-dependent patients having a major allele (T), the number of patients who abused many drugs was statistically significantly higher compared with patient who did not have the aforementioned allele T.


From the above results, it was demonstrated that drug sensitivity associated with the severity of stimulant dependence can be easily predicted by determining genotype frequency in the cyclic AMP responsive element binding protein gene polymorphism.









TABLE 28







Comparison of genotype and allele frequencies in rs2952768 polymorphism in methamphetamine-


dependent patients classified based on presence or absence of abuse of many drugs


Gene polymorphism name: CREB1 rs2952768










Sample
(Number
Genotype frequency (%)
Allele frequency

















name
of samples)
T/T
T/C
C/C


T
C























Metham-
Abuse
19
22
12


(P = 0.137: genotype)
0.556
0.444

(P =












{close oversize parenthesis}



phetamine
of many
(35.8%)
(41.5%)
(22.6%)
{close oversize parenthesis}

(P = 0.603: dominant model)
0.644
0.356

0.133: allele)

















dependent
drugs
58
67
16


*(P = 0.046: recessive model)





patients
No
(41.1%)
(47.5%)
(11.3%)






















(53)










Yes










(141)





※Each model indicates hereditary mode regarding minor allele (C): *, P < 0.05.






Example 10

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Severity of Drug Dependence in Alcohol-Dependent Patients>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and vulnerability to drug dependence associated with the severity of drug dependence was examined. Genomic DNA was extracted from the blood of 436 alcohol-dependent patients, and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. The patients were classified based on the presence or absence of drug abuse, and a comparison was made among them. The results are shown in the following Table 29. Here, the alcohol-dependent patients were classified into two groups, namely, a patient group with drug abuse (one or more types) and a patient group without drug abuse (only alcohol ingestion).


As a result, as is clear from the following Table 29, a significant difference in genotype and allele frequencies was observed in terms of the gene polymorphism (rs2952768), and it was demonstrated that the frequency of major allele (T) was statistically significantly higher in the patient group with drug abuse than in the patient group without drug abuse.


From the above results, it was demonstrated that vulnerability to drug dependence associated with the severity of drug dependence can be easily predicted by determining genotype and allele frequencies in the cyclic AMP responsive element binding protein gene polymorphism.









TABLE 29







Comparison of genotype and allele frequencies in rs2952768 polymorphism in


alcohol-dependent patients classified based on presence or abscence of drug abuse


Gene polymorphism name: CREB1 rs2952768










Sample
(Number
Genotype frequency (%)
Allele frequency















name
of samples)
T/T
T/C
C/C

T
C






















Alcohol-
Drug
172
166
53


(P = 0.142: genotype)
0.652
0.348

* (P =












{close oversize parenthesis}



dependent
abuse
(44.0%)
(42.5%)
(13.6%)
{close oversize parenthesis}

(P = 0.140: dominant model)
0.756
0.244

0.049: allele)

















patients
No
25
18
2


†(P = 0.097: recessive model)






(391)
(55.6%)
(40.0%)
(4.4%)






















Yes










(45)












※Each model indicates hereditary mode regarding minor allele (C): *, P < 0.05 †, 0.05 ≦ P < 0.1.






Example 11

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Severity of Drug Dependence in Eating Disorder Patients>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and vulnerability to drug dependence associated with the severity of drug dependence was examined. Genomic DNA was extracted from the blood of 221 patients with eating disorder, and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. The patients were classified based on the presence or absence of drug dependence, and a comparison was made among them. The results are shown in the following Table 30. Here, the eating disorder patients were classified into two groups, namely, a patient group with a complication of drug dependence and a patient group without a complication of drug dependence.


As a result, as is clear from the following Table 30, a significant difference in genotype and allele frequencies was observed in terms of the gene polymorphism (rs2952768), and it was demonstrated that the frequency of major allele (T) was statistically significantly higher in the patient group with a complication of drug dependence than in the patient group without a complication of drug dependence.


From the above results, it was demonstrated that vulnerability to drug dependence associated with the severity of drug dependence can be easily predicted by determining genotype and allele frequencies in the cyclic AMP responsive element binding protein gene polymorphism.









TABLE 30







Comparison of genotype and allele frequencies in rs2952768 polymorphism in


patients with eating disorder classified based on presence or absence of complication of drug dependence


Gene polymorphism name: CREB1 rs2952768










Sample
(Number
Genotype frequency (%)
Allele frequency
















name
of samples)
T/T
T/C
C/C


T
C






















Eating
Complication
85
93
22


(P = 0.103: genotype)
0.658
0.343

* (P =












{close oversize parenthesis}



disorder
of drug
(42.5%)
(46.5%)
(11.0%)
{close oversize parenthesis}

*(P = 0.034: dominant model)
0.610
0.190

0.046: allele)

















patients
No
14
6
1


(P = 0.705: recessive model)






(200)
(66.7%)
(28.6%)
(4.9%)






















Yes










(21)












※Each model indicates hereditary mode regarding minor allele (C): *, P < 0.05.






Example 12

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Severity of Substance Dependence in Eating Disorder Patients>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and vulnerability to substance (alcohol) dependence associated with the severity of substance (alcohol) dependence was examined. Genomic DNA was extracted from the blood of 221 patients with eating disorder, and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. The patients were classified based on the presence or absence of alcohol dependence, and a comparison was made among them. The results are shown in the following Table 31. Here, the eating disorder patients were classified into two groups, namely, a patient group with a complication of alcohol dependence and a patient group without a complication of alcohol dependence.


As a result, as is clear from the following Table 31, a significant difference in genotype and allele frequencies was observed in terms of the gene polymorphism (rs2952768), and it was demonstrated that the frequency of major allele (T) was statistically significantly higher in the patient group with a complication of alcohol dependence than in the patient group without a complication of alcohol dependence.


From the above results, it was demonstrated that vulnerability to substance (alcohol) dependence associated with the severity of substance (alcohol) dependence can be easily predicted by determining genotype and allele frequencies in the cyclic AMP responsive element binding protein gene polymorphism.









TABLE 31







Comparison of genotype and allele frequencies in rs2952768 polymorphism in patients with


eating disorder classified based on presence or abscence of complication of alcohol dependence


Gene polymorphism name: CREB1 rs2952768










Sample
(Number
Genotype frequency (%)
Allele frequency
















name
of samples)
T/T
T/C
C/C


T
C






















Eating
Complication
61
72
18


(P = 0.136: genotype)
0.642
0.358

† (P =












{close oversize parenthesis}



disorder
of alcohol
(40.4%)
(47.7%)
(11.9%)
{close oversize parenthesis}

†(P = 0.053: dominant model)
0.738
0.264

0.052: allele)

















patients
No
38
27
 5


(P = 0.279: recessive model)






(151)
(54.3%)
(38.6%)
 (7.1%)




















Yes








(70)





※Each model indicates hereditary mode regarding minor allele (C): †, 0.05 ≦ P < 0.1.






Example 13

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Reward Dependence>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and dependence-prone personality associated with reward dependence was examined. Genomic DNA was extracted from the oral mucosa of 495 healthy subjects, and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and dependence-prone personality was analyzed.


It is to be noted that, as a test of dependence-prone personality, a reward dependence (RD) score (average) in the Temperament and Character Inventory (TCI) was used.


As a result, as is shown in the following Table 32 and FIG. 15, healthy subjects having a minor allele (C) in the CREB1 subtype gene polymorphism (rs2952768) had an RD score (logarithmic transformation) that was statistically significantly low in correlation with the number of alleles which they had. Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs2952768), dependence-prone personality can be predicted.


Using the median (0.667) of the RD score as a reference, a patient group with a value smaller than the reference and a patient group with a value larger than the reference were defined as a “low reward dependence group” and a “high reward dependence group,” respectively, and the groups were then stratified in terms of the rs2952768 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 43% and 57% of healthy subjects were determined to belong to the low reward dependence group and the high reward dependence group, respectively, in the T/T patient group. In contrast, in the C/C patient group, 58% and 42% of healthy subjects were determined to belong to the low reward dependence group and the high reward dependence group, respectively.


From the above results, it was demonstrated that dependence-prone personality associated with reward dependence can be easily predicted by determining genotype and allele frequencies in the cyclic AMP responsive element binding protein gene polymorphism.









TABLE 32







Effect of CREB1 rs2952768 polymorphism


on reward dependence (RD) score (average)


(descriptive statistics by gender)















Number of test


CREB1

Average
Standard
subjects


rs2952768
Gender

deviation
(subjects)














T/T
F
0.72
0.18
98



M
0.66
0.18
122



Unknown
0.60
0.09
2



Total
0.68
0.18
222


T/C
F
0.70
0.18
103



M
0.62
0.20
98



Unknown
0.78
0.08
3



Total
0.66
0.19
204


C/C
F
0.68
0.22
37



M
0.58
0.18
32



Total
0.63
0.21
69



custom character

F
0.70
0.19
238



M
0.63
0.19
252



Unknown
0.71
0.12
5



Total
0.67
0.19
495





※Average in dimension of average score in each subscale






Example 14

<Correlation Between CREB1 Subtype Gene Polymorphism (Rs2952768) and Expression Level of CREB1 Gene>


A correlation between a cyclic AMP responsive element binding protein gene polymorphism and a gene expression level was examined. Genomic DNA was extracted from the blood of 100 postmortem brain tissue donors at the Stanley Foundation Brain Bank, and one gene polymorphism (rs2952768) in the CREB1 subtype gene was determined. Then, a correlation between these results of determination of the gene polymorphism and a gene expression level was analyzed.


Incidentally, as the gene expression level, the value of the relative mRNA expression level of CREB1, which was standardized with the value of the mRNA expression level of a β-actin gene (ACTB), was used.


As a result, as shown in the following Table 33 and FIG. 16, in the case of subjects who did not have a major allele (T) of the CREB1 subtype gene polymorphism (rs2952768), the mRNA expression level (logarithmic transformation) of CREB1 was statistically significantly higher compared with subjects having the aforementioned allele (T). Accordingly, by analyzing the CREB1 subtype gene polymorphism (rs2952768), the gene expression level can be predicted.


Using the median (0.0145) of the relative mRNA expression level as a reference, a subject group with a value smaller than the reference and a subject group with a value larger than the reference were defined as a “low gene expression group” and a “high gene expression group,” respectively, and the groups were then stratified in terms of the rs2952768 polymorphism of the CREB1 gene. As a result, in terms of this polymorphism, 52% and 48% of subjects were determined to belong to the low gene expression group and the high gene expression group, respectively, in the T/T or T/C subject group. In contrast, in the C/C subject group, 30% and 70% of subjects were determined to belong to the low gene expression group and the high gene expression group, respectively.


From the above results, it was demonstrated that the tendency of the expression level of a CREB1 gene (whether the gene tends to be expressed at a high level or at a low level) can be easily predicted by determining genotype and allele frequencies in the cyclic AMP responsive element binding protein gene polymorphism.









TABLE 33







Effect of CREB1 rs2952768 polymorphism on gene


expression level in postmortem brain tissue donors at


Stanley Foundation Brain Bank (descriptive statistics)















Number of test



CREB1
Average
Standard
subjects



rs2952768

deviation
(subjects)
















T/T
0.015345
0.006618
48



T/C
0.015667
0.005267
42



C/C
0.023360
0.023537
10



Total
0.016282
0.009396
100







※Relative mRNA expression level value of CREB1 standardized with mRNA expression level value of β-actin gene (ACTB)






INDUSTRIAL APPLICABILITY

According to the present invention, it becomes possible to provide: a gene polymorphism of a cyclic AMP responsive element binding protein gene or a haplotype constituted by the gene polymorphism, which can evaluate an individual difference in terms of drug sensitivity and disease vulnerability; a method for evaluating drug sensitivity and disease vulnerability using the gene polymorphism or the haplotype; and the like. According to this evaluation method, it becomes possible to readily know or predict a proper prescribed amount, a proper prescribed schedule associated with a narcotic drug such as morphine, and the like, and hence the method is extremely useful for personalized pain therapy, drug dependence therapy and the like.

Claims
  • 1. A method for treating a human subject with fentanyl following surgery comprising: (a) obtaining from the human subject a nucleic acid sample;(b) detecting the nucleic acids in the nucleic acid sample to determine the genotype of the rs2952768 polymorphism;(c1) administering to the human subject having a C/C genotype at rs2952768 a higher amount of fentanyl, wherein the higher amount of fentanyl is in comparison to predetermined median reference value, or(c2) administering to the human subject having a T/C or T/T genotype at rs2952768 a lower amount of fentanyl, wherein the lower amount of fentanyl is in comparison to predetermined median reference value.
  • 2. The method according to claim 1, wherein the nucleic acid sample is extracted from blood or oral mucosa of the human subject.
  • 3. The method according to claim 1, wherein the surgery is orthognathic surgery, and wherein the predetermined median reference value is 2.268 μg/kg.
  • 4. The method according to claim 1, wherein 4.80 to 5.08 μg/kg of fentanyl is administered to the human subject having a C/C genotype at rs2952768 after orthognathic surgery.
  • 5. The method according to claim 1, wherein 2.38 to 2.78 μg/kg of fentanyl is administered to the human subject having a T/T genotype at rs2952768 after orthognathic surgery.
  • 6. The method according to claim 1, wherein 2.38 to 2.99 μg/kg of fentanyl is administered to the human subject having a T/C genotype at rs2952768 after orthognathic surgery.
  • 7. The method according to claim 1, wherein the surgery is abdominal surgery, and wherein the predetermined median reference value is 2.453 μg/kg.
  • 8. The method according to claim 1, wherein 1.12 to 1.78 μg/kg of fentanyl is administered to the human subject having a C/C genotype at rs2952768 after abdominal surgery.
  • 9. The method according to claim 1, wherein 0.43 to 0.93 μg/kg of fentanyl is administered to the human subject having a T/T genotype at rs2952768 after abdominal surgery.
  • 10. The method according to claim 1, wherein 0.67 to 0.78 μg/kg of fentanyl is administered to the human subject having a T/C genotype at rs2952768 after abdominal surgery.
Priority Claims (1)
Number Date Country Kind
2011-217104 Sep 2011 JP national
PCT Information
Filing Document Filing Date Country Kind
PCT/JP2012/076054 10/1/2012 WO 00
Publishing Document Publishing Date Country Kind
WO2013/047912 4/4/2013 WO A
US Referenced Citations (4)
Number Name Date Kind
20080051437 Hallam et al. Feb 2008 A1
20080188525 Hallam et al. Aug 2008 A1
20080248470 Kim Oct 2008 A1
20090202565 Labow et al. Aug 2009 A1
Foreign Referenced Citations (8)
Number Date Country
1 731 606 Dec 2006 EP
2 377 533 Oct 2011 EP
2002-511850 Apr 2002 JP
2008-517627 May 2008 JP
WO 9848785 Nov 1998 WO
WO 2006039663 Apr 2006 WO
WO 2007137181 Nov 2007 WO
WO 2011133949 Oct 2011 WO
Non-Patent Literature Citations (33)
Entry
Hirschhorn et al. Genetics in Medicine. 2002. 4(2): 45-61.
Hattersley et al. The Lancet. 2005. 366: 1315-1323.
Lucentini et al The Scientist (2004) vol. 18, p. 20.
Mummidi et al Journal of Biological Chemistry 2000 vol. 275 No. 25 pp. 18946-18961.
Halushka et al. Nature. Jul. 1999. 22: 239-247.
Gagneux et al. Molecular Phylogenetics and Evolution. 2001. 18: 2-13.
Langdahl et al Journal of Bone and Mineral Research (2000) 15: 402-414.
Wall et al. Nature Reviews Genetics (2003) 4:587-597.
Zill et al. Molecular Psychiatry. 2004. 9: 1030-1036.
Suzuki et al. Eur Arch Psychiatry Clin Neurosci (2001). 251: 57-59.
Nishizawa et al Molecular Psychiatry. Online Nov. 27, 2012. 19(1): 55-62.
Maldonado et al Science. 1996. 273: 657.
NCBI dbSNP database. National Center for Biotechnology Information (Bethesda, MD, USA). Nov. 9, 2006. ss66713294 for rs2952768.
Zhang et al Anaesthesia. Dec. 2009. 65(2): 130-135.
Extended European Search Report for Application No. 12837264.6 dated Jun. 1, 2015.
Fillingim, Roger B. et al., “The A118G Single Nucleotide Polymorphism of the μ-Opioid Receptor Gene (OPRM1) is Associated with Pressure Pain Sensitivity in Humans”, J. of Pain, vol. 6, No. 3, 2005, pp. 159-167.
Ikeda, Kazutaka et al., “How individual sensitivity to opiates can be predicted by gene analyses”, Trends in Pharmacological Sciences, vol. 26, No. 6, 2005, pp. 311-317.
Bokoch et al., “Purification and Properties of the Inhibitory Guanine Nucleotide-binding Regulatory Component of Adenylate Cyclase,” J. Biol. Chem. (Mar. 25, 1984), vol. 259, No. 6, pp. 3560-3567.
Chrivia et al., “Phosphorylated CREB binds specifically to the nuclear protein CBP,” Nature (Oct. 28, 1993), vol. 365, pp. 855-859.
Gonzalez, G. A. and M. R. Montminy, “Cyclic AMP Stimulates Somatostetin Gene Transcription by Phosphorylation of CREB at Serine 133,” Cell (Nov. 17, 1989), vol. 59, pp. 675-680.
Kasao et al., “Correlation between Oprm1 gene polymorphism and morphine sensitivity in wild-derived inbred mouse strains,”Jpn. J. Neuropsychopharmacol. (2011), vol. 31, pp. 87-85, with English translation.
Kumar et al., “A polymorphism of the CREB binding protein (CREBBP) gene is a risk factor for addiction,” Brain Research (2011), vol. 1406, pp. 59-64.
Montminy et al., “Identification of cyclic-AMP-responsive element with the rat somatostatin gene,” Proc. Natl. Acad. Sci. USA (Sep. 1986), vol. 83, pp. 6682-6686.
Noda, Y. and T. Nabeshime, “The molecular mechanisms of morphine dependence,” J. Clin. and Exp. Med. (Nov. 10, 2001), vol. 199, No. 6, pp. 423-426, with English translation.
Pierce et al., “Seven-Transmembrane Receptors” Nature Reviews—Molecular Cell Biology (Sep. 2002), vol. 3, pp. 639-650.
Communication Pursuant to Rule 164(1) EPC issued Jan. 20, 2015, in European Patent Application No. 12837264.6.
Crisafulli et al., “Case-control association study of 14 variants of CREB1, CREBBP and CREM on diagnosis and treatment outcome in major depressive disorder and bipolar disorder,” Psychiatry Research (2012), vol. 198, pp. 39-46.
Dong et al., “Sequence variations of ABCB1, SLC6A2, SLC6A3, SLC6A4, CREB1, CRHR1 and NTRK2: association with major depression and antidepressant response in Mexican-Americans,” Molecular Psychiatry (2009) vol. 14, pp. 1105-1118.
Mamdani et al., “Lithium Response and Genetic Variation in the CREB Family of Genes,” American Journal of Medical Genetics Part B (Neuropsychiatric Genetics), (2008), vol. 147B, pp. 500-504.
Shi, Michael M., “Enabling Large-Scale Pharmacogenetic Studies by High-Throughput Mutation Detection and Genotyping Technologies,” Clinical Chemistry (2001), vol. 47, No. 2, pp. 164-172.
European Search Report issued in European Patent Application No. 12 837 264.6 on Feb. 24, 2016.
Fukuda et al., “Association between OPRM1 gene polymorphisms and fentanyl sensitivity in patients undergoing painful cosmetic surgery”, Pain, vol. 147, No. 1-3 (2009) pp. 194-201.
Nishizawa et al., “Genetic polymorphisms and human sensitivity to pain and opioids”, MASUI—Japanese Journal of Anesthesiology, vol. 58, No. 9 (2009) pp. 1093-1101.
Related Publications (1)
Number Date Country
20140243237 A1 Aug 2014 US