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Gene–environment correlations across geographic regions affect genome-wide association studies
Gene–environment correlations affect associations between genetic variants and complex traits in genome-wide association studies (GWASs). Here we showed in up to 43,516 British siblings that educational attainment polygenic scores capture gene–environment correlations, and that migration extends the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470533/ https://www.ncbi.nlm.nih.gov/pubmed/35995948 http://dx.doi.org/10.1038/s41588-022-01158-0 |
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author | Abdellaoui, Abdel Dolan, Conor V. Verweij, Karin J. H. Nivard, Michel G. |
author_facet | Abdellaoui, Abdel Dolan, Conor V. Verweij, Karin J. H. Nivard, Michel G. |
author_sort | Abdellaoui, Abdel |
collection | PubMed |
description | Gene–environment correlations affect associations between genetic variants and complex traits in genome-wide association studies (GWASs). Here we showed in up to 43,516 British siblings that educational attainment polygenic scores capture gene–environment correlations, and that migration extends these gene–environment correlations beyond the family to broader geographic regions. We then ran GWASs on 56 complex traits in up to 254,387 British individuals. Controlling for geographic regions significantly decreased the heritability for socioeconomic status (SES)-related traits, most strongly for educational attainment and income. For most traits, controlling for regions significantly reduced genetic correlations with educational attainment and income, most significantly for body mass index/body fat, sedentary behavior and substance use, consistent with gene–environment correlations related to regional socio-economic differences. The effects of controlling for birthplace and current address suggest both passive and active sources of gene–environment correlations. Our results show that the geographic clustering of DNA and SES introduces gene–environment correlations that affect GWAS results. |
format | Online Article Text |
id | pubmed-9470533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-94705332022-09-15 Gene–environment correlations across geographic regions affect genome-wide association studies Abdellaoui, Abdel Dolan, Conor V. Verweij, Karin J. H. Nivard, Michel G. Nat Genet Article Gene–environment correlations affect associations between genetic variants and complex traits in genome-wide association studies (GWASs). Here we showed in up to 43,516 British siblings that educational attainment polygenic scores capture gene–environment correlations, and that migration extends these gene–environment correlations beyond the family to broader geographic regions. We then ran GWASs on 56 complex traits in up to 254,387 British individuals. Controlling for geographic regions significantly decreased the heritability for socioeconomic status (SES)-related traits, most strongly for educational attainment and income. For most traits, controlling for regions significantly reduced genetic correlations with educational attainment and income, most significantly for body mass index/body fat, sedentary behavior and substance use, consistent with gene–environment correlations related to regional socio-economic differences. The effects of controlling for birthplace and current address suggest both passive and active sources of gene–environment correlations. Our results show that the geographic clustering of DNA and SES introduces gene–environment correlations that affect GWAS results. Nature Publishing Group US 2022-08-22 2022 /pmc/articles/PMC9470533/ /pubmed/35995948 http://dx.doi.org/10.1038/s41588-022-01158-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Abdellaoui, Abdel Dolan, Conor V. Verweij, Karin J. H. Nivard, Michel G. Gene–environment correlations across geographic regions affect genome-wide association studies |
title | Gene–environment correlations across geographic regions affect genome-wide association studies |
title_full | Gene–environment correlations across geographic regions affect genome-wide association studies |
title_fullStr | Gene–environment correlations across geographic regions affect genome-wide association studies |
title_full_unstemmed | Gene–environment correlations across geographic regions affect genome-wide association studies |
title_short | Gene–environment correlations across geographic regions affect genome-wide association studies |
title_sort | gene–environment correlations across geographic regions affect genome-wide association studies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470533/ https://www.ncbi.nlm.nih.gov/pubmed/35995948 http://dx.doi.org/10.1038/s41588-022-01158-0 |
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