G = E: What GWAS Can Tell Us about the Environment

As our understanding of genetics has improved, genome-wide association studies (GWAS) have identified numerous variants associated with lifestyle behaviours and health outcomes. However, what is sometimes overlooked is the possibility that genetic variants identified in GWAS of disease might reflect...

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Detalles Bibliográficos
Autores principales: Gage, Suzanne H., Davey Smith, George, Ware, Jennifer J., Flint, Jonathan, Munafò, Marcus R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Viewpoints
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750859/
https://www.ncbi.nlm.nih.gov/pubmed/26866486
http://dx.doi.org/10.1371/journal.pgen.1005765
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author Gage, Suzanne H.
Davey Smith, George
Ware, Jennifer J.
Flint, Jonathan
Munafò, Marcus R.
author_facet Gage, Suzanne H.
Davey Smith, George
Ware, Jennifer J.
Flint, Jonathan
Munafò, Marcus R.
author_sort Gage, Suzanne H.
collection PubMed
description As our understanding of genetics has improved, genome-wide association studies (GWAS) have identified numerous variants associated with lifestyle behaviours and health outcomes. However, what is sometimes overlooked is the possibility that genetic variants identified in GWAS of disease might reflect the effect of modifiable risk factors as well as direct genetic effects. We discuss this possibility with illustrative examples from tobacco and alcohol research, in which genetic variants that predict behavioural phenotypes have been seen in GWAS of diseases known to be causally related to these behaviours. This consideration has implications for the interpretation of GWAS findings.
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spelling pubmed-47508592016-02-26 G = E: What GWAS Can Tell Us about the Environment Gage, Suzanne H. Davey Smith, George Ware, Jennifer J. Flint, Jonathan Munafò, Marcus R. PLoS Genet Viewpoints As our understanding of genetics has improved, genome-wide association studies (GWAS) have identified numerous variants associated with lifestyle behaviours and health outcomes. However, what is sometimes overlooked is the possibility that genetic variants identified in GWAS of disease might reflect the effect of modifiable risk factors as well as direct genetic effects. We discuss this possibility with illustrative examples from tobacco and alcohol research, in which genetic variants that predict behavioural phenotypes have been seen in GWAS of diseases known to be causally related to these behaviours. This consideration has implications for the interpretation of GWAS findings. Public Library of Science 2016-02-11 /pmc/articles/PMC4750859/ /pubmed/26866486 http://dx.doi.org/10.1371/journal.pgen.1005765 Text en © 2016 Gage et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Viewpoints
Gage, Suzanne H.
Davey Smith, George
Ware, Jennifer J.
Flint, Jonathan
Munafò, Marcus R.
G = E: What GWAS Can Tell Us about the Environment
title G = E: What GWAS Can Tell Us about the Environment
title_full G = E: What GWAS Can Tell Us about the Environment
title_fullStr G = E: What GWAS Can Tell Us about the Environment
title_full_unstemmed G = E: What GWAS Can Tell Us about the Environment
title_short G = E: What GWAS Can Tell Us about the Environment
title_sort g = e: what gwas can tell us about the environment
topic Viewpoints
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4750859/
https://www.ncbi.nlm.nih.gov/pubmed/26866486
http://dx.doi.org/10.1371/journal.pgen.1005765
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