Methods for high-resolution analysis of genetic effects on gene expression

Information

  • Research Project
  • 8509240
  • ApplicationId
    8509240
  • Core Project Number
    R01MH090941
  • Full Project Number
    3R01MH090941-02S1
  • Serial Number
    090941
  • FOA Number
    RFA-RM-09-006
  • Sub Project Id
  • Project Start Date
    9/17/2010 - 13 years ago
  • Project End Date
    7/31/2013 - 10 years ago
  • Program Officer Name
    ADDINGTON, ANJENE M
  • Budget Start Date
    6/1/2012 - 12 years ago
  • Budget End Date
    7/31/2013 - 10 years ago
  • Fiscal Year
    2012
  • Support Year
    02
  • Suffix
    S1
  • Award Notice Date
    8/10/2012 - 11 years ago
Organizations

Methods for high-resolution analysis of genetic effects on gene expression

DESCRIPTION (provided by applicant): Summary Gene expression is a fundamental function of any cell. It is the main mechanism by which information is transmitted from the nucleus to the rest of the cell and eventually to other cells and the body of the organism. Genetic variation in components of the transcriptional machinery and signals that regulate gene function generates variation in transcriptional response and consequently variation in phenotypes. It has become apparent that many of the common genetic signals associated with disease are found away from the DNA sequence that encodes for protein sequence and is likely to be functioning in regulating gene expression. In this project we propose to develop methodologies that will explore the consequences of genetic variation in gene expression. There are three main goals of this project. First we will explore and develop methodologies to mine information from experiments that perform deep sequencing of the human transcriptome. The new sequencing technologies are providing us with unprecedented resolution into the transcriptome but are also raising challenges in the computational and biological models to use to interpret such large amounts of data. Secondly, we will use high-resolution genetic data to develop and use methodologies to dissect the fine structure of genetic variants that affect regulation of gene expression. Finally, we will implement and test models to infer the higher-order interactions of genome function so as to dig deeply into the biological consequences of genetic variants and how the signal is transmitted from the DNA sequence to higher levels of cell and body function. Our goals is to develop methodologies that will significantly improve our insight to the variability in human populations and assist in interpreting predisposition to genetic diseases. PUBLIC HEALTH RELEVANCE: Project narrative The proposed project aims at the development of statistical methods for the interpretation and study of the impact of genetic variants in cell function. Understanding the cellular effects of genetic variants provides a fundamental framework for the deep understanding of human genetic disease and increases the potential for the development of relevant treatments and drugs. It is the understanding of the basic molecular functions in health and disease that will provide the utmost resolution of information for the improvement of human health.

IC Name
NATIONAL INSTITUTE OF MENTAL HEALTH
  • Activity
    R01
  • Administering IC
    MH
  • Application Type
    3
  • Direct Cost Amount
    212500
  • Indirect Cost Amount
    2855
  • Total Cost
    215355
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    310
  • Ed Inst. Type
  • Funding ICs
    OD:215355\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    UNIVERSITY OF GENEVA
  • Organization Department
  • Organization DUNS
    481076537
  • Organization City
    Geneva
  • Organization State
  • Organization Country
    SWITZERLAND
  • Organization Zip Code
    CH-1211
  • Organization District
    SWITZERLAND