Literature DB >> 29078306

Widespread covariation of early environmental exposures and trait-associated polygenic variation.

E Krapohl1, L J Hannigan2, J-B Pingault3, H Patel4,5, N Kadeva2, C Curtis2, G Breen2,5, S J Newhouse4,5,6, T C Eley2, P F O'Reilly2, R Plomin1.   

Abstract

Although gene-environment correlation is recognized and investigated by family studies and recently by SNP-heritability studies, the possibility that genetic effects on traits capture environmental risk factors or protective factors has been neglected by polygenic prediction models. We investigated covariation between trait-associated polygenic variation identified by genome-wide association studies (GWASs) and specific environmental exposures, controlling for overall genetic relatedness using a genomic relatedness matrix restricted maximum-likelihood model. In a UK-representative sample (n = 6,710), we find widespread covariation between offspring trait-associated polygenic variation and parental behavior and characteristics relevant to children's developmental outcomes-independently of population stratification. For instance, offspring genetic risk for schizophrenia was associated with paternal age (R2 = 0.002; P = 1e-04), and offspring education-associated variation was associated with variance in breastfeeding (R2 = 0.021; P = 7e-30), maternal smoking during pregnancy (R2 = 0.008; P = 5e-13), parental smacking (R2 = 0.01; P = 4e-15), household income (R2 = 0.032; P = 1e-22), watching television (R2 = 0.034; P = 5e-47), and maternal education (R2 = 0.065; P = 3e-96). Education-associated polygenic variation also captured covariation between environmental exposures and children's inattention/hyperactivity, conduct problems, and educational achievement. The finding that genetic variation identified by trait GWASs partially captures environmental risk factors or protective factors has direct implications for risk prediction models and the interpretation of GWAS findings.

Entities:  

Keywords:  environmental risk; gene–environment correlation; human complex traits; polygenic scores; prediction

Mesh:

Year:  2017        PMID: 29078306      PMCID: PMC5676894          DOI: 10.1073/pnas.1707178114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  66 in total

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  25 in total

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3.  Interpreting Behavior Genetic Models: Seven Developmental Processes to Understand.

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4.  Individual differences in executive function partially explain the socioeconomic gradient in middle-school academic achievement.

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Review 5.  Genetics of Anxiety Disorders.

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

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7.  A systematic review of genome-wide research on psychotic experiences and negative symptom traits: new revelations and implications for psychiatry.

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