Uncovering the genetic architecture of extremely treatment-resistant schizophrenia using whole genome sequencing

Information

  • Research Project
  • 10409189
  • ApplicationId
    10409189
  • Core Project Number
    K23MH121669
  • Full Project Number
    7K23MH121669-02
  • Serial Number
    121669
  • FOA Number
    PA-18-590
  • Sub Project Id
  • Project Start Date
    7/1/2020 - 4 years ago
  • Project End Date
    6/30/2025 - 7 months from now
  • Program Officer Name
    VAN'T VEER, ASHLEE V
  • Budget Start Date
    7/1/2021 - 3 years ago
  • Budget End Date
    6/30/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
  • Award Notice Date
    9/7/2021 - 3 years ago

Uncovering the genetic architecture of extremely treatment-resistant schizophrenia using whole genome sequencing

Schizophrenia (SCZ) is a severely disabling and highly heritable condition that afflicts ~1% of the global population. Despite the advances in genetics that have shed light on the biology of so many diseases and led to groundbreaking new treatments for conditions from blindness to cancer, genetic studies in SCZ have been hindered by its genetic complexity and phenotypic heterogeneity: two patients who do not share a single symptom can both receive the same diagnosis. One way forward is to define molecular subtypes, an approach that has been successful in oncology and other realms of medicine, but which often requires identifying distinct phenotypic subtypes. We therefore propose to study the most severe form of the disorder?extremely treatment-resistant SCZ (ETRS)?because rare genetic variants of large effects are likely to be enriched in this population. ETRS patients are the top 1% most severely affected patients, often remain hospitalized for decades, and are not usually included in genetic studies, in part because they are not accessible to most researchers. We will recruit 400 subjects with ETRS from the New York State inpatient system, thoroughly characterize their phenotype, and perform whole genome sequencing (WGS). Our preliminary data from 75 ETRS patients revealed a higher-than-expected prevalence of seizures, dysmorphic features, and cognitive impairment, which suggest the presence of one of the 60 Mendelian diseases known to mimic SCZ. Furthermore, prior research and our preliminary data indicate that SCZ severity, cognitive impairment, and treatment resistance are associated with a greater burden of rare single nucleotide variants (SNVs), copy number variants (CNVs), and common variant polygenic risk. Therefore, in Aim 1, we will use diagnostic WGS to identify (a) Mendelian conditions that mimic SCZ, such as Niemann-Pick disease type C, and (b) pharmacogenetic variants that reduce the efficacy of antipsychotic treatments. Patients with either type of mutation may be treatable. In Aim 2, we will (a) evaluate the burden of rare SNVs and rare CNVs. Since extreme phenotypes can also be due to an excess of common variant risk, we will (b) determine the common variant burden by calculating SCZ polygenic risk scores. We will use 6,500 individuals with typical SCZ and 165,000 healthy individuals as controls for Aims 1 and 2. The project will be conducted at Columbia University Medical Center by Anthony Zoghbi, MD, a psychiatrist with clinical expertise and a career goal of becoming an independent investigator in psychiatric genetics, focusing on SCZ. Dr. Zoghbi's comprehensive five-year training plan will enable him to develop expertise in statistical genetics and genomics, cognitive assessment of SCZ, and clinical research methods under the mentorship of David Goldstein, PhD (Director, Institute for Genomic Medicine), statistical geneticist Suzanne Leal, PhD, and neuropsychologist Terry Goldberg, PhD. The proposed aims align with his training goals and will elucidate the genetic architecture of ETRS, shed light on the pathophysiology of SCZ, and improve the care of those most disabled by SCZ.

IC Name
NATIONAL INSTITUTE OF MENTAL HEALTH
  • Activity
    K23
  • Administering IC
    MH
  • Application Type
    7
  • Direct Cost Amount
    182080
  • Indirect Cost Amount
    14566
  • Total Cost
    196646
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    242
  • Ed Inst. Type
    SCHOOLS OF MEDICINE
  • Funding ICs
    NIMH:196646\
  • Funding Mechanism
    OTHER RESEARCH-RELATED
  • Study Section
    GHD
  • Study Section Name
    Genetics of Health and Disease Study Section
  • Organization Name
    BAYLOR COLLEGE OF MEDICINE
  • Organization Department
    PSYCHIATRY
  • Organization DUNS
    051113330
  • Organization City
    HOUSTON
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    770303411
  • Organization District
    UNITED STATES