Abstract
Importance: The Consortium on the Genetics of Schizophrenia (COGS) uses quantitative neurophysiological and neurocognitive endophenotypes with demonstrated deficits in schizophrenia as a platform from which to explore the underlying neural circuitry and genetic architecture. Many of these endophenotypes are associated with poor functional outcome in schizophrenia. Some are also endorsed as potential treatment targets by the US Food and Drug Administration. Objective: To build on prior assessments of heritability, association, and linkage in the COGS phase 1 (COGS-1) families by reporting a genome-wide association study (GWAS) of 11 schizophrenia-related endophenotypes in the independent phase 2 (COGS-2) cohort of patients with schizophrenia and healthy comparison participants (HCPs). Design, Setting, and Participants: A total of 1789 patients with schizophrenia and HCPs of self-reported European or Latino ancestry were recruited through a collaborative effort across the COGS sites and genotyped using the PsychChip. Standard quality control filters were applied, and more than 6.2 million variants with a genotyping call rate of greater than 0.99 were available after imputation. Association was performed for data sets stratified by diagnosis and ancestry using linear regression and adjusting for age, sex, and 5 principal components, with results combined through weighted meta-analysis. Data for COGS-1 were collected from January 6, 2003, to August 6, 2008; data for COGS-2, from June 30, 2010, to February 14, 2014. Data were analyzed from October 28, 2016, to May 4, 2018. Main Outcomes and Measures: A genome-wide association study was performed to evaluate association for 11 neurophysiological and neurocognitive endophenotypes targeting key domains of schizophrenia related to inhibition, attention, vigilance, learning, working memory, executive function, episodic memory, and social cognition. Results: The final sample of 1533 participants included 861 male participants (56.2%), and the mean (SD) age was 41.8 (13.6) years. In total, 7 genome-wide significant regions (P < 5 × 10-8) and 2 nearly significant regions (P < 9 × 10-8) containing several genes of interest, including NRG3 and HCN1, were identified for 7 endophenotypes. For each of the 11 endophenotypes, enrichment analyses performed at the level of P < 10-4 compared favorably with previous association results in the COGS-1 families and showed extensive overlap with regions identified for schizophrenia diagnosis. Conclusions and Relevance: These analyses identified several genomic regions of interest that require further exploration and validation. These data seem to demonstrate the utility of endophenotypes for resolving the genetic architecture of schizophrenia and characterizing the underlying biological dysfunctions. Understanding the molecular basis of these endophenotypes may help to identify novel treatment targets and pave the way for precision-based medicine in schizophrenia and related psychotic disorders.
Original language | English |
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Pages (from-to) | 1274-1284 |
Number of pages | 11 |
Journal | JAMA Psychiatry |
Volume | 76 |
Issue number | 12 |
DOIs | |
State | Published - 1 Dec 2019 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2019 American Medical Association. All rights reserved.
Funding
reported receiving grants from the National Institute of Mental Health (NIMH) during the conduct of the study. Dr Lazzeroni reported receiving grants from the National Institutes of Health (NIH) during the conduct of the study. Dr Light reported consulting for Astellas Pharma, Inc, Heptares Therapeutics, NeuroSig, and Takeda Pharmaceutical Company, Ltd, and grants from Boerhinger Ingelheim outside the submitted work. Dr Nuechterlein reported receiving grants from the NIMH during the conduct of the study; grants and consulting fees from Janssen Pharmaceutica, grants from Posit Science Corporation, and consulting fees from Astellas Pharma, Inc, Biogen, Inc, Genentech, Inc, MedinCell, Otsuka Pharmaceutical Co, Ltd, Takeda Pharmaceutical Company, Ltd, and Teva Pharmaceutical Industries, Ltd, outside the submitted work. Dr Siever reported receiving grants from the NIMH during the conduct of the study. Dr Silverman reported receiving grants from the NIMH during the conduct of the study. Dr Sugar reported receiving grants from the NIH during the conduct of the study. Dr D. W. Tsuang reported receiving grants from the NIH during the conduct of the study. Dr Turesky reported receiving grants from the NIMH during the conduct of the study. No other disclosures were reported. Funding/Support: This study was supported by grants R01-MH065571 and R01MH106595 (University of California, San Diego), R01-MH065707 (UCLA), R01-MH065554 (Mount Sinai School of Medicine), R01-MH065578 (University of Pennsylvania), R01-MH065558 (University of Washington), and R01-MH86135 (Stanford University) from the NIMH.
Funders | Funder number |
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Posit Science Corporation | |
National Institutes of Health | |
National Institute of Mental Health | |
Genentech | |
Stanford University | |
Takeda Pharmaceuticals North America | |
Teva Pharmaceutical Industries | |
University of Pennsylvania | |
University of Washington | R01-MH86135 |
University of California, San Diego | R01-MH065707, UCLA |
School of Medicine | |
Otsuka Pharmaceutical | |
Astellas Pharma, Netherlands |