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Am J Med Genet B Neuropsychiatr Genet. 2019 Dec 24. doi: 10.1002/ajmg.b.32775. [Epub ahead of print]

Genome-wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder.

Author information

1
Research Service, Bruce W. Carter Miami Veterans Affairs (VA) Medical Center, Miami, Florida.
2
Department of Psychiatry and Behavioral Sciences, University of Miami School of Medicine, Miami, Florida.
3
Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, Connecticut.
4
Yale University School of Medicine, New Haven, Connecticut.
5
Department of Psychiatry, VA New York Harbor Healthcare System, Brooklyn, New York.
6
Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center, Brooklyn, New York.
7
Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York.
8
Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, New York.
9
Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, New York.
10
Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin.
11
Department of Psychiatry, University of California, San Diego, California.
12
Department of Psychiatry, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
13
Department of Child & Adolescent Psychiatry and Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
14
VISN-22 Mental Illness, Research, Education and Clinical Center (MIRECC), VA San Diego Healthcare System, San Diego, California.
15
Massachusetts Area Veterans Epidemiology Research, and Information Center (MAVERIC), Jamaica Plain, Massachusetts.
16
Boston University School of Medicine, Boston, Massachusetts.
17
Office of Research and Development, Veterans Health Administration, Washington, District of Columbia.
18
Department of Medicine, Harvard University, Boston, Massachusetts.
19
James J. Peters Veterans Affairs Medical Center, Bronx, New York.
20
Department of Psychiatry, Mount Sinai School of Medicine, New York, New York.

Abstract

Cognitive impairment is a frequent and serious problem in patients with various forms of severe mental illnesses (SMI), including schizophrenia (SZ) and bipolar disorder (BP). Recent research suggests genetic links to several cognitive phenotypes in both SMI and in the general population. Our goal in this study was to identify potential genomic signatures of cognitive functioning in veterans with severe mental illness and compare them to previous findings for cognition across different populations. Veterans Affairs (VA) Cooperative Studies Program (CSP) Study #572 evaluated cognitive and functional capacity measures among SZ and BP patients. In conjunction with the VA Million Veteran Program, 3,959 European American (1,095 SZ, 2,864 BP) and 2,601 African American (1,095 SZ, 2,864 BP) patients were genotyped using a custom Affymetrix Axiom Biobank array. We performed a genome-wide association study of global cognitive functioning, constructed polygenic scores for SZ and cognition in the general population, and examined genetic correlations with 2,626 UK Biobank traits. Although no single locus attained genome-wide significance, observed allelic effects were strongly consistent with previous studies. We observed robust associations between global cognitive functioning and polygenic scores for cognitive performance, intelligence, and SZ risk. We also identified significant genetic correlations with several cognition-related traits in UK Biobank. In a diverse cohort of U.S. veterans with SZ or BP, we demonstrate broad overlap of common genetic effects on cognition in the general population, and find that greater polygenic loading for SZ risk is associated with poorer cognitive performance.

KEYWORDS:

bipolar disorder; cognition; genome-wide association study (GWAS); impairment; schizophrenia

PMID:
31872970
DOI:
10.1002/ajmg.b.32775

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