Journal article
Polygenic risk score, genome-wide association, and gene set analyses of cognitive domain deficits in schizophrenia
Schizophrenia research, Vol.201, pp.393-399
11/2018
DOI: 10.1016/j.schres.2018.05.041
PMCID: PMC6252137
PMID: 29907492
Abstract
This study assessed genetic contributions to six cognitive domains, identified by the MATRICS Cognitive Consensus Battery as relevant for schizophrenia, cognition-enhancing, clinical trials. Psychiatric Genomics Consortium Schizophrenia polygenic risk scores showed significant negative correlations with each cognitive domain. Genome-wide association analyses identified loci associated with attention/vigilance (rs830786 within HNF4G), verbal memory (rs67017972 near NDUFS4), and reasoning/problem solving (rs76872642 within HDAC9). Gene set analysis identified unique and shared genes across cognitive domains. These findings suggest involvement of common and unique mechanisms across cognitive domains and may contribute to the discovery of new therapeutic targets to treat cognitive deficits in schizophrenia.
Details
- Title: Subtitle
- Polygenic risk score, genome-wide association, and gene set analyses of cognitive domain deficits in schizophrenia
- Creators
- Soichiro Nakahara - Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA 92617, United StatesSarah Medland - Psychiatric Genetics, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, QLD 4006, AustraliaJessica A Turner - Departments of Psychology and Neuroscience, Georgia State University, Atlanta, GA, United StatesVince D Calhoun - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, United StatesKelvin O Lim - Departments of Psychiatry & Neuroscience, University of New Mexico, Albuquerque, NM 87131, United StatesBryon A Mueller - Department of Psychiatry, University of Minnesota, Minneapolis, MN 55454, United StatesJuan R Bustillo - Departments of Psychiatry & Neuroscience, University of New Mexico, Albuquerque, NM 87131, United StatesDaniel S O'Leary - Department of Psychiatry, University of Iowa, Iowa City, IA 52242, United StatesJatin G Vaidya - Department of Psychiatry, University of Iowa, Iowa City, IA 52242, United StatesSarah McEwen - Department of Psychiatry, University of California, San Diego, La Jolla, CA 92093, United StatesJames Voyvodic - Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC 27710, United StatesAysenil Belger - Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United StatesDaniel H Mathalon - Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94143, United StatesJudith M Ford - Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94143, United StatesGuia Guffanti - Department of Psychiatry at Harvard Medical School and Computational Genomics Lab at McLean Hospital, Boston, United StatesFabio Macciardi - Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA 92617, United StatesSteven G Potkin - Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA 92617, United StatesTheo G.M van Erp - Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA 92617, United States
- Resource Type
- Journal article
- Publication Details
- Schizophrenia research, Vol.201, pp.393-399
- DOI
- 10.1016/j.schres.2018.05.041
- PMID
- 29907492
- PMCID
- PMC6252137
- NLM abbreviation
- Schizophr Res
- ISSN
- 0920-9964
- eISSN
- 1573-2509
- Publisher
- Elsevier B.V
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: 1U24 RR021992, 1U24 RR025736-01, 5R01MH094524, P20GM103472, UL1 TR000153
- Language
- English
- Date published
- 11/2018
- Academic Unit
- Psychiatry; Iowa Neuroscience Institute; University College Courses
- Record Identifier
- 9984070972002771
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