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Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts

BACKGROUND: Due to the lack of statistical power and confounding effects of population structure in human population data, genotype-environment interaction studies have not yielded promising results and have provided only limited knowledge for exploring how genotype and environmental factors interac...

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Autores principales: Kim, Jaemin, Lee, Taeheon, Lee, Hyun-Jeong, Kim, Heebal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922112/
https://www.ncbi.nlm.nih.gov/pubmed/24491211
http://dx.doi.org/10.1186/1471-2156-15-18
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author Kim, Jaemin
Lee, Taeheon
Lee, Hyun-Jeong
Kim, Heebal
author_facet Kim, Jaemin
Lee, Taeheon
Lee, Hyun-Jeong
Kim, Heebal
author_sort Kim, Jaemin
collection PubMed
description BACKGROUND: Due to the lack of statistical power and confounding effects of population structure in human population data, genotype-environment interaction studies have not yielded promising results and have provided only limited knowledge for exploring how genotype and environmental factors interact to in their influence onto risk. RESULTS: We analyzed 49 human quantitative traits in 7,170 unrelated Korean individuals on 326,262 autosomal single nucleotide polymorphisms (SNPs) collected from the KARE (Korean Association Resource) project, and we estimated the statistically significant proportion of variance that could be explained by genotype-area interactions in the supra-iliac skinfold thickness trait ([Formula: see text]  = 0.269 and P = 0.00032), which is related to abdominal obesity. Data suggested that the genotypes could have different effects on the phenotype (supra-iliac skinfold thickness) in different environmental settings (rural vs. urban areas). We then defined the genotype groups of individuals with similar genetic profiles based on the additive genetic relationships among individuals using SNPs. We observed the norms of reaction, and the differential phenotypic response of a genotype to a change in environmental exposure. Interestingly, we also found that the gene clusters responsible for cell-cell and cell-extracellular matrix interactions were enriched significantly for genotype-area interaction. CONCLUSIONS: This significant heritability estimate of genotype-environment interactions will lead to conceptual advances in our understanding of the mechanisms underlying genotype-environment interactions, and could be ultimately applied to personalized preventative treatments based on environmental exposures.
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spelling pubmed-39221122014-02-26 Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts Kim, Jaemin Lee, Taeheon Lee, Hyun-Jeong Kim, Heebal BMC Genet Research Article BACKGROUND: Due to the lack of statistical power and confounding effects of population structure in human population data, genotype-environment interaction studies have not yielded promising results and have provided only limited knowledge for exploring how genotype and environmental factors interact to in their influence onto risk. RESULTS: We analyzed 49 human quantitative traits in 7,170 unrelated Korean individuals on 326,262 autosomal single nucleotide polymorphisms (SNPs) collected from the KARE (Korean Association Resource) project, and we estimated the statistically significant proportion of variance that could be explained by genotype-area interactions in the supra-iliac skinfold thickness trait ([Formula: see text]  = 0.269 and P = 0.00032), which is related to abdominal obesity. Data suggested that the genotypes could have different effects on the phenotype (supra-iliac skinfold thickness) in different environmental settings (rural vs. urban areas). We then defined the genotype groups of individuals with similar genetic profiles based on the additive genetic relationships among individuals using SNPs. We observed the norms of reaction, and the differential phenotypic response of a genotype to a change in environmental exposure. Interestingly, we also found that the gene clusters responsible for cell-cell and cell-extracellular matrix interactions were enriched significantly for genotype-area interaction. CONCLUSIONS: This significant heritability estimate of genotype-environment interactions will lead to conceptual advances in our understanding of the mechanisms underlying genotype-environment interactions, and could be ultimately applied to personalized preventative treatments based on environmental exposures. BioMed Central 2014-02-04 /pmc/articles/PMC3922112/ /pubmed/24491211 http://dx.doi.org/10.1186/1471-2156-15-18 Text en Copyright © 2014 Kim et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Kim, Jaemin
Lee, Taeheon
Lee, Hyun-Jeong
Kim, Heebal
Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts
title Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts
title_full Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts
title_fullStr Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts
title_full_unstemmed Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts
title_short Genotype-environment interactions for quantitative traits in Korea Associated Resource (KARE) cohorts
title_sort genotype-environment interactions for quantitative traits in korea associated resource (kare) cohorts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922112/
https://www.ncbi.nlm.nih.gov/pubmed/24491211
http://dx.doi.org/10.1186/1471-2156-15-18
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