Cargando…

Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status

Previous genome-wide association studies (GWAS) have identified hundreds of genetic loci to be associated with body mass index (BMI) and risk of obesity. Genetic effects can differ between individuals depending on lifestyle or environmental factors due to gene-environment interactions. In this study...

Descripción completa

Detalles Bibliográficos
Autores principales: Rask-Andersen, Mathias, Karlsson, Torgny, Ek, Weronica E., Johansson, Åsa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600404/
https://www.ncbi.nlm.nih.gov/pubmed/28873402
http://dx.doi.org/10.1371/journal.pgen.1006977
_version_ 1783264236904906752
author Rask-Andersen, Mathias
Karlsson, Torgny
Ek, Weronica E.
Johansson, Åsa
author_facet Rask-Andersen, Mathias
Karlsson, Torgny
Ek, Weronica E.
Johansson, Åsa
author_sort Rask-Andersen, Mathias
collection PubMed
description Previous genome-wide association studies (GWAS) have identified hundreds of genetic loci to be associated with body mass index (BMI) and risk of obesity. Genetic effects can differ between individuals depending on lifestyle or environmental factors due to gene-environment interactions. In this study, we examine gene-environment interactions in 362,496 unrelated participants with Caucasian ancestry from the UK Biobank resource. A total of 94 BMI-associated SNPs, selected from a previous GWAS on BMI, were used to construct weighted genetic scores for BMI (GS(BMI)). Linear regression modeling was used to estimate the effect of gene-environment interactions on BMI for 131 lifestyle factors related to: dietary habits, smoking and alcohol consumption, physical activity, socioeconomic status, mental health, sleeping patterns, as well as female-specific factors such as menopause and childbirth. In total, 15 lifestyle factors were observed to interact with GS(BMI), of which alcohol intake frequency, usual walking pace, and Townsend deprivation index, a measure of socioeconomic status, were all highly significant (p = 1.45*10(−29), p = 3.83*10(−26), p = 4.66*10(−11), respectively). Interestingly, the frequency of alcohol consumption, rather than the total weekly amount resulted in a significant interaction. The FTO locus was the strongest single locus interacting with any of the lifestyle factors. However, 13 significant interactions were also observed after omitting the FTO locus from the genetic score. Our analyses indicate that many lifestyle factors modify the genetic effects on BMI with some groups of individuals having more than double the effect of the genetic score. However, the underlying causal mechanisms of gene-environmental interactions are difficult to deduce from cross-sectional data alone and controlled experiments are required to fully characterise the causal factors.
format Online
Article
Text
id pubmed-5600404
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-56004042017-09-22 Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status Rask-Andersen, Mathias Karlsson, Torgny Ek, Weronica E. Johansson, Åsa PLoS Genet Research Article Previous genome-wide association studies (GWAS) have identified hundreds of genetic loci to be associated with body mass index (BMI) and risk of obesity. Genetic effects can differ between individuals depending on lifestyle or environmental factors due to gene-environment interactions. In this study, we examine gene-environment interactions in 362,496 unrelated participants with Caucasian ancestry from the UK Biobank resource. A total of 94 BMI-associated SNPs, selected from a previous GWAS on BMI, were used to construct weighted genetic scores for BMI (GS(BMI)). Linear regression modeling was used to estimate the effect of gene-environment interactions on BMI for 131 lifestyle factors related to: dietary habits, smoking and alcohol consumption, physical activity, socioeconomic status, mental health, sleeping patterns, as well as female-specific factors such as menopause and childbirth. In total, 15 lifestyle factors were observed to interact with GS(BMI), of which alcohol intake frequency, usual walking pace, and Townsend deprivation index, a measure of socioeconomic status, were all highly significant (p = 1.45*10(−29), p = 3.83*10(−26), p = 4.66*10(−11), respectively). Interestingly, the frequency of alcohol consumption, rather than the total weekly amount resulted in a significant interaction. The FTO locus was the strongest single locus interacting with any of the lifestyle factors. However, 13 significant interactions were also observed after omitting the FTO locus from the genetic score. Our analyses indicate that many lifestyle factors modify the genetic effects on BMI with some groups of individuals having more than double the effect of the genetic score. However, the underlying causal mechanisms of gene-environmental interactions are difficult to deduce from cross-sectional data alone and controlled experiments are required to fully characterise the causal factors. Public Library of Science 2017-09-05 /pmc/articles/PMC5600404/ /pubmed/28873402 http://dx.doi.org/10.1371/journal.pgen.1006977 Text en © 2017 Rask-Andersen 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 Research Article
Rask-Andersen, Mathias
Karlsson, Torgny
Ek, Weronica E.
Johansson, Åsa
Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
title Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
title_full Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
title_fullStr Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
title_full_unstemmed Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
title_short Gene-environment interaction study for BMI reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
title_sort gene-environment interaction study for bmi reveals interactions between genetic factors and physical activity, alcohol consumption and socioeconomic status
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600404/
https://www.ncbi.nlm.nih.gov/pubmed/28873402
http://dx.doi.org/10.1371/journal.pgen.1006977
work_keys_str_mv AT raskandersenmathias geneenvironmentinteractionstudyforbmirevealsinteractionsbetweengeneticfactorsandphysicalactivityalcoholconsumptionandsocioeconomicstatus
AT karlssontorgny geneenvironmentinteractionstudyforbmirevealsinteractionsbetweengeneticfactorsandphysicalactivityalcoholconsumptionandsocioeconomicstatus
AT ekweronicae geneenvironmentinteractionstudyforbmirevealsinteractionsbetweengeneticfactorsandphysicalactivityalcoholconsumptionandsocioeconomicstatus
AT johanssonasa geneenvironmentinteractionstudyforbmirevealsinteractionsbetweengeneticfactorsandphysicalactivityalcoholconsumptionandsocioeconomicstatus