Cargando…

Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome

Socioeconomic status (SES) and education (EDU) are phenotypically associated with psychiatric disorders and behaviors. It remains unclear how these associations influence genetic risk for psychopathology, psychosocial factors, and EDU/SES individually. Using information from >1 million individual...

Descripción completa

Detalles Bibliográficos
Autores principales: Wendt, Frank R., Pathak, Gita A., Lencz, Todd, Krystal, John H., Gelernter, Joel, Polimanti, Renato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068566/
https://www.ncbi.nlm.nih.gov/pubmed/33349686
http://dx.doi.org/10.1038/s41562-020-00980-y
_version_ 1783683055752314880
author Wendt, Frank R.
Pathak, Gita A.
Lencz, Todd
Krystal, John H.
Gelernter, Joel
Polimanti, Renato
author_facet Wendt, Frank R.
Pathak, Gita A.
Lencz, Todd
Krystal, John H.
Gelernter, Joel
Polimanti, Renato
author_sort Wendt, Frank R.
collection PubMed
description Socioeconomic status (SES) and education (EDU) are phenotypically associated with psychiatric disorders and behaviors. It remains unclear how these associations influence genetic risk for psychopathology, psychosocial factors, and EDU/SES individually. Using information from >1 million individuals, we conditioned the genetic risk for psychiatric disorders, personality traits, brain imaging phenotypes, and externalizing behaviors with genome-wide data for EDU/SES. Accounting for EDU/SES significantly affected the observed heritability of psychiatric traits ranging from 2.44% h(2) decrease for bipolar disorder to 14.2% h(2) decrease for Tourette syndrome. Neuroticism h(2) significantly increased by 20.23% after conditioning with SES. After EDU/SES conditioning, neuronal cell-types were identified for risky behavior (excitatory), major depression (inhibitory), schizophrenia (excitatory and GABAergic), 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.
format Online
Article
Text
id pubmed-8068566
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-80685662021-06-21 Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome Wendt, Frank R. Pathak, Gita A. Lencz, Todd Krystal, John H. Gelernter, Joel Polimanti, Renato Nat Hum Behav Article Socioeconomic status (SES) and education (EDU) are phenotypically associated with psychiatric disorders and behaviors. It remains unclear how these associations influence genetic risk for psychopathology, psychosocial factors, and EDU/SES individually. Using information from >1 million individuals, we conditioned the genetic risk for psychiatric disorders, personality traits, brain imaging phenotypes, and externalizing behaviors with genome-wide data for EDU/SES. Accounting for EDU/SES significantly affected the observed heritability of psychiatric traits ranging from 2.44% h(2) decrease for bipolar disorder to 14.2% h(2) decrease for Tourette syndrome. Neuroticism h(2) significantly increased by 20.23% after conditioning with SES. After EDU/SES conditioning, neuronal cell-types were identified for risky behavior (excitatory), major depression (inhibitory), schizophrenia (excitatory and GABAergic), 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. 2020-12-21 2021-04 /pmc/articles/PMC8068566/ /pubmed/33349686 http://dx.doi.org/10.1038/s41562-020-00980-y Text en http://www.nature.com/authors/editorial_policies/license.html#termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Wendt, Frank R.
Pathak, Gita A.
Lencz, Todd
Krystal, John H.
Gelernter, Joel
Polimanti, Renato
Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
title Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
title_full Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
title_fullStr Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
title_full_unstemmed Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
title_short Multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
title_sort multivariate genome-wide analysis of education, socioeconomic status, and brain phenome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8068566/
https://www.ncbi.nlm.nih.gov/pubmed/33349686
http://dx.doi.org/10.1038/s41562-020-00980-y
work_keys_str_mv AT wendtfrankr multivariategenomewideanalysisofeducationsocioeconomicstatusandbrainphenome
AT pathakgitaa multivariategenomewideanalysisofeducationsocioeconomicstatusandbrainphenome
AT lencztodd multivariategenomewideanalysisofeducationsocioeconomicstatusandbrainphenome
AT krystaljohnh multivariategenomewideanalysisofeducationsocioeconomicstatusandbrainphenome
AT gelernterjoel multivariategenomewideanalysisofeducationsocioeconomicstatusandbrainphenome
AT polimantirenato multivariategenomewideanalysisofeducationsocioeconomicstatusandbrainphenome