Literature DB >> 31558103

The E Is in the G: Gene-Environment-Trait Correlations and Findings From Genome-Wide Association Studies.

Reut Avinun1,2.   

Abstract

Genome-wide association studies (GWASs) have shown that pleiotropy is widespread (i.e., the same genetic variants affect multiple traits) and that complex traits are polygenic (i.e., affected by many genetic variants with very small effect sizes). However, despite the growing number of GWASs, the possible contribution of gene-environment correlations (rGEs) to pleiotropy and polygenicity has been mostly ignored. rGEs can lead to environmentally mediated pleiotropy or gene-environment-trait correlations (rGETs), given that an environment that is affected by one genetically influenced phenotype, can in turn affect a different phenotype. By adding correlations with environmentally mediated genetic variants, rGETs can contribute to polygenicity. Socioeconomic status (SES) and the experience of stressful life events may, for example, be involved in rGETs. Both are genetically influenced and have been associated with a myriad of physical and mental disorders. As a result, GWASs of these disorders may find the genetic correlates of SES and stressful life events. Consequently, some of the genetic correlates of physical and mental disorders may be modified by public policy that affects environments such as SES and stressful life events. Thus, identifying rGETs can shed light on findings from GWASs and have important implications for public health.

Entities:  

Keywords:  environment; gene–environment correlation (rGE); genome-wide association study; mediated pleiotropy; pleiotropy; polygenic risk scores; single-nucleotide polymorphism (SNP)

Mesh:

Year:  2019        PMID: 31558103      PMCID: PMC6980468          DOI: 10.1177/1745691619867107

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  55 in total

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Journal:  Psychol Sci       Date:  2013-07-01

5.  Corporal punishment by parents and associated child behaviors and experiences: a meta-analytic and theoretical review.

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6.  Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence.

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Authors:  James J Lee; Robbee Wedow; Aysu Okbay; Edward Kong; Omeed Maghzian; Meghan Zacher; Tuan Anh Nguyen-Viet; Peter Bowers; Julia Sidorenko; Richard Karlsson Linnér; Mark Alan Fontana; Tushar Kundu; Chanwook Lee; Hui Li; Ruoxi Li; Rebecca Royer; Pascal N Timshel; Raymond K Walters; Emily A Willoughby; Loïc Yengo; Maris Alver; Yanchun Bao; David W Clark; Felix R Day; Nicholas A Furlotte; Peter K Joshi; Kathryn E Kemper; Aaron Kleinman; Claudia Langenberg; Reedik Mägi; Joey W Trampush; Shefali Setia Verma; Yang Wu; Max Lam; Jing Hua Zhao; Zhili Zheng; Jason D Boardman; Harry Campbell; Jeremy Freese; Kathleen Mullan Harris; Caroline Hayward; Pamela Herd; Meena Kumari; Todd Lencz; Jian'an Luan; Anil K Malhotra; Andres Metspalu; Lili Milani; Ken K Ong; John R B Perry; David J Porteous; Marylyn D Ritchie; Melissa C Smart; Blair H Smith; Joyce Y Tung; Nicholas J Wareham; James F Wilson; Jonathan P Beauchamp; Dalton C Conley; Tõnu Esko; Steven F Lehrer; Patrik K E Magnusson; Sven Oskarsson; Tune H Pers; Matthew R Robinson; Kevin Thom; Chelsea Watson; Christopher F Chabris; Michelle N Meyer; David I Laibson; Jian Yang; Magnus Johannesson; Philipp D Koellinger; Patrick Turley; Peter M Visscher; Daniel J Benjamin; David Cesarini
Journal:  Nat Genet       Date:  2018-07-23       Impact factor: 38.330

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  9 in total

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2.  Associations between depression-relevant genetic risk and youth stress exposure: Evidence of gene-environment correlations.

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3.  Variation in depressive symptom trajectories in a large sample of couples.

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Journal:  Transl Psychiatry       Date:  2022-05-18       Impact factor: 7.989

4.  Vitamin D polygenic score is associated with neuroticism and the general psychopathology factor.

Authors:  Reut Avinun; Adrienne L Romer; Salomon Israel
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2020-03-06       Impact factor: 5.067

5.  Gene-environment dependencies lead to collider bias in models with polygenic scores.

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6.  Marriage in the Melting Pot: An Evolutionary Approach to European Ancestry, Homogamy, and Fertility in the United States.

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7.  Polygenic prediction of PTSD trajectories in 9/11 responders.

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8.  From Genome-Wide to Environment-Wide: Capturing the Environome.

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Journal:  Perspect Psychol Sci       Date:  2021-03-01

Review 9.  The P-factor and its genomic and neural equivalents: an integrated perspective.

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  9 in total

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