Multivariate genome-wide analysis of education, socioeconomic status and brain phenome
Frank R. Wendt,
Gita A. Pathak,
Todd Lencz,
John H. Krystal,
Joel Gelernter and
Renato Polimanti ()
Additional contact information
Frank R. Wendt: Yale School of Medicine
Gita A. Pathak: Yale School of Medicine
Todd Lencz: The Zucker Hillside Hospital
John H. Krystal: Yale School of Medicine
Joel Gelernter: Yale School of Medicine
Renato Polimanti: Yale School of Medicine
Nature Human Behaviour, 2021, vol. 5, issue 4, 482-496
Abstract:
Abstract Socioeconomic status (SES) and education (EDU) are phenotypically associated with psychiatric disorders and behaviours. It remains unclear how these associations influence genetic risk for psychopathology, psychosocial factors and EDU and/or SES (EDU/SES) individually. Using information from >1 million individuals, we conditioned the genetic risk for psychiatric disorders, personality traits, brain imaging phenotypes and externalizing behaviours with genome-wide data for EDU/SES. Accounting for EDU/SES significantly affected the observed heritability of psychiatric traits, ranging from 2.44% h2 decrease for bipolar disorder to 14.2% h2 decrease for Tourette syndrome. Neuroticism h2 significantly increased by 20.23% after conditioning with SES. After EDU/SES conditioning, neuronal cell types were identified for risky behaviour (excitatory), major depression (inhibitory), schizophrenia (excitatory and γ-aminobutyric acid (GABA) mediated) and bipolar disorder (excitatory). Conditioning with EDU/SES also revealed unidirectional causality between brain morphology, psychopathology and psychosocial factors. Our results indicate that genetic discoveries related to psychopathology and psychosocial factors may be limited by genetic overlap with EDU/SES.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nathum:v:5:y:2021:i:4:d:10.1038_s41562-020-00980-y
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DOI: 10.1038/s41562-020-00980-y
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