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Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders.

Cell 179, 1469-1482.e11 (2019)
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Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Gwas ; Psychiatric Genetics ; Cross-disorder Genetics ; Functional Genomics ; Gene Expression ; Genetic Architecture ; Genetic Correlation ; Neurodevelopment ; Pleiotropy ; Psychiatric Disorders
Language english
Publication Year 2019
HGF-reported in Year 2019
ISSN (print) / ISBN 0092-8674
e-ISSN 1097-4172
Journal Cell
Quellenangaben Volume: 179, Issue: 7, Pages: 1469-1482.e11 Article Number: , Supplement: ,
Publisher Cell Press
Publishing Place Cambridge, Mass.
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
Institute of Translational Genomics (ITG)
POF-Topic(s) 30202 - Environmental Health
30205 - Bioengineering and Digital Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504000-009
G-506700-001
PubMed ID 31835028
Erfassungsdatum 2020-02-11