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Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus

Diseases such as type 2 diabetes (T2D) result from environmental and genetic factors, and risk varies considerably in the population. T2D-related genetic loci discovered to date explain only a small portion of the T2D heritability. Some heritability may be due to gene–environment interactions. Howev...

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Autores principales: Patel, Chirag J., Chen, Rong, Kodama, Keiichi, Ioannidis, John P. A., Butte, Atul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer-Verlag 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625410/
https://www.ncbi.nlm.nih.gov/pubmed/23334806
http://dx.doi.org/10.1007/s00439-012-1258-z
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author Patel, Chirag J.
Chen, Rong
Kodama, Keiichi
Ioannidis, John P. A.
Butte, Atul J.
author_facet Patel, Chirag J.
Chen, Rong
Kodama, Keiichi
Ioannidis, John P. A.
Butte, Atul J.
author_sort Patel, Chirag J.
collection PubMed
description Diseases such as type 2 diabetes (T2D) result from environmental and genetic factors, and risk varies considerably in the population. T2D-related genetic loci discovered to date explain only a small portion of the T2D heritability. Some heritability may be due to gene–environment interactions. However, documenting these interactions has been difficult due to low availability of concurrent genetic and environmental measures, selection bias, and challenges in controlling for multiple hypothesis testing. Through genome-wide association studies (GWAS), investigators have identified over 90 single nucleotide polymorphisms (SNPs) associated to T2D. Using a method analogous to GWAS [environment-wide association study (EWAS)], we found five environmental factors associated with the disease. By focusing on risk factors that emerge from GWAS and EWAS, it is possible to overcome difficulties in uncovering gene–environment interactions. Using data from the National Health and Nutrition Examination Survey (NHANES), we screened 18 SNPs and 5 serum-based environmental factors for interaction in association to T2D. We controlled for multiple hypotheses using false discovery rate (FDR) and Bonferroni correction and found four interactions with FDR <20 %. The interaction between rs13266634 (SLC30A8) and trans-β-carotene withstood Bonferroni correction (corrected p = 0.006, FDR <1.5 %). The per-risk-allele effect sizes in subjects with low levels of trans-β-carotene were 40 % greater than the marginal effect size [odds ratio (OR) 1.8, 95 % CI 1.3–2.6]. We hypothesize that impaired function driven by rs13266634 increases T2D risk when combined with serum levels of nutrients. Unbiased consideration of environmental and genetic factors may help identify larger and more relevant effect sizes for disease associations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00439-012-1258-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-36254102013-04-15 Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus Patel, Chirag J. Chen, Rong Kodama, Keiichi Ioannidis, John P. A. Butte, Atul J. Hum Genet Original Investigation Diseases such as type 2 diabetes (T2D) result from environmental and genetic factors, and risk varies considerably in the population. T2D-related genetic loci discovered to date explain only a small portion of the T2D heritability. Some heritability may be due to gene–environment interactions. However, documenting these interactions has been difficult due to low availability of concurrent genetic and environmental measures, selection bias, and challenges in controlling for multiple hypothesis testing. Through genome-wide association studies (GWAS), investigators have identified over 90 single nucleotide polymorphisms (SNPs) associated to T2D. Using a method analogous to GWAS [environment-wide association study (EWAS)], we found five environmental factors associated with the disease. By focusing on risk factors that emerge from GWAS and EWAS, it is possible to overcome difficulties in uncovering gene–environment interactions. Using data from the National Health and Nutrition Examination Survey (NHANES), we screened 18 SNPs and 5 serum-based environmental factors for interaction in association to T2D. We controlled for multiple hypotheses using false discovery rate (FDR) and Bonferroni correction and found four interactions with FDR <20 %. The interaction between rs13266634 (SLC30A8) and trans-β-carotene withstood Bonferroni correction (corrected p = 0.006, FDR <1.5 %). The per-risk-allele effect sizes in subjects with low levels of trans-β-carotene were 40 % greater than the marginal effect size [odds ratio (OR) 1.8, 95 % CI 1.3–2.6]. We hypothesize that impaired function driven by rs13266634 increases T2D risk when combined with serum levels of nutrients. Unbiased consideration of environmental and genetic factors may help identify larger and more relevant effect sizes for disease associations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00439-012-1258-z) contains supplementary material, which is available to authorized users. Springer-Verlag 2013-01-20 2013 /pmc/articles/PMC3625410/ /pubmed/23334806 http://dx.doi.org/10.1007/s00439-012-1258-z Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Investigation
Patel, Chirag J.
Chen, Rong
Kodama, Keiichi
Ioannidis, John P. A.
Butte, Atul J.
Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
title Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
title_full Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
title_fullStr Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
title_full_unstemmed Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
title_short Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
title_sort systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625410/
https://www.ncbi.nlm.nih.gov/pubmed/23334806
http://dx.doi.org/10.1007/s00439-012-1258-z
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