Large-scale genetics studies on schizophrenia to date have failed to discover a substantial contribution of common genetic variation. However, recent analyses of structural genetic variation have identified and rapidly confirmed a number of rare variants contributing to this disorder. Surprisingly, the same rare genetic contributors have often been found to be risk factors for multiple neuropsychiatric conditions, including schizophrenia, mental retardation, autism and epilepsy. This suggests that these rare variants may confer a """"""""neuropsychiatric vulnerability"""""""" and that the ultimate manifestation depends on other genetic or environmental influences. This suggests that patients with multiple co-occurring conditions may be those most likely to carry an elevated burden of rare, high-penetrant risk factors. Additionally, families that have multiple neuropsychiatric conditions associated with the same rare genetic variant could be the most valuable in dissecting the genetic and environmental influences on mental disorders. With this research, we propose to collect 100 chronically mentally ill patients with schizophrenia or schizoaffective disorder and as many of their first, second and third degree relatives as possible, and to perform whole-genome sequencing to identify rare gene variants that predispose to disease with relatively high-penetrance. Using DNA collected from these subjects, we will use next-generation whole genome sequencing technology and a variety of novel bioinformatic tools to select potentially disease-associated gene variants on the basis of predicted function and frequency in healthy control populations. We will then examine the distribution of associated variants in the families, determining which disorders, symptoms or traits they are associated with, and what differences in environment and genetic background are present between affected and unaffected carriers. By focusing on patients with a strong genetic burden and a family history of mental illness, and including the entire genome in our search for genetic susceptibility, we expect to be able to find rare highly penetrant variants that would be undetectable with other approaches.

Public Health Relevance

Schizophrenia is a highly heritable neuropsychiatric condition that affects millions of individuals in the U.S. alone. The proposed study seeks to increase our understanding of the genetic basis of this disease by performing whole-genome sequencing in 100 schizophrenia patients to search for rare, highly penetrant associated genetic variants. Potentially associated genetic markers will be genotyped in affected and unaffected family members to determine their specificity for schizophrenia, and to investigate genetic and environmental modifiers of their effects. This work could elucidate the molecular basis of schizophrenia and potentially indicate novel targets for psychiatric drugs.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
High Impact Research and Research Infrastructure Programs (RC2)
Project #
5RC2MH089915-02
Application #
7941966
Study Section
Special Emphasis Panel (ZMH1-ERB-C (A4))
Program Officer
Bender, Patrick
Project Start
2009-09-30
Project End
2013-02-28
Budget Start
2010-09-01
Budget End
2013-02-28
Support Year
2
Fiscal Year
2010
Total Cost
$1,461,725
Indirect Cost
Name
Duke University
Department
Genetics
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Winawer, Melodie R; Griffin, Nicole G; Samanamud, Jorge et al. (2018) Somatic SLC35A2 variants in the brain are associated with intractable neocortical epilepsy. Ann Neurol 83:1133-1146
Gelfman, Sahar; Wang, Quanli; McSweeney, K Melodi et al. (2017) Annotating pathogenic non-coding variants in genic regions. Nat Commun 8:236
Mori, Mari; Haskell, Gloria; Kazi, Zoheb et al. (2017) Sensitivity of whole exome sequencing in detecting infantile- and late-onset Pompe disease. Mol Genet Metab 122:189-197
Roohi, Jasmin; Crowe, Jennifer; Loredan, Denis et al. (2017) New diagnosis of atypical ataxia-telangiectasia in a 17-year-old boy with T-cell acute lymphoblastic leukemia and a novel ATM mutation. J Hum Genet 62:581-584
Zhao, Jing; Akinsanmi, Idowu; Arafat, Dalia et al. (2016) A Burden of Rare Variants Associated with Extremes of Gene Expression in Human Peripheral Blood. Am J Hum Genet 98:299-309
Petrovski, Slavé; Parrott, Roberta E; Roberts, Joseph L et al. (2016) Dominant Splice Site Mutations in PIK3R1 Cause Hyper IgM Syndrome, Lymphadenopathy and Short Stature. J Clin Immunol 36:462-71
Zhu, Xiaolin; Petrovski, Slavé; Xie, Pingxing et al. (2015) Whole-exome sequencing in undiagnosed genetic diseases: interpreting 119 trios. Genet Med 17:774-81
Mccarthy, Janice M; Shea, Patrick R; Goldstein, David B et al. (2015) Testing for risk and protective trends in genetic analyses of HIV acquisition. Biostatistics 16:268-80
Petrovski, Slavé; Gussow, Ayal B; Wang, Quanli et al. (2015) The Intolerance of Regulatory Sequence to Genetic Variation Predicts Gene Dosage Sensitivity. PLoS Genet 11:e1005492
Hall, Gentzon; Gbadegesin, Rasheed A; Lavin, Peter et al. (2015) A novel missense mutation of Wilms' Tumor 1 causes autosomal dominant FSGS. J Am Soc Nephrol 26:831-43

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