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Genome-wide assessment of gene-by-smoking interactions in COPD

Cigarette smoke exposure is a major risk factor in chronic obstructive pulmonary disease (COPD) and its interactions with genetic variants could affect lung function. However, few gene-smoking interactions have been reported. In this report, we evaluated the effects of gene-smoking interactions on l...

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Autores principales: Park, Boram, Koo, So-My, An, Jaehoon, Lee, MoonGyu, Kang, Hae Yeon, Qiao, Dandi, Cho, Michael H., Sung, Joohon, Silverman, Edwin K., Yang, Hyeon-Jong, Won, Sungho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006158/
https://www.ncbi.nlm.nih.gov/pubmed/29915320
http://dx.doi.org/10.1038/s41598-018-27463-5
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author Park, Boram
Koo, So-My
An, Jaehoon
Lee, MoonGyu
Kang, Hae Yeon
Qiao, Dandi
Cho, Michael H.
Sung, Joohon
Silverman, Edwin K.
Yang, Hyeon-Jong
Won, Sungho
author_facet Park, Boram
Koo, So-My
An, Jaehoon
Lee, MoonGyu
Kang, Hae Yeon
Qiao, Dandi
Cho, Michael H.
Sung, Joohon
Silverman, Edwin K.
Yang, Hyeon-Jong
Won, Sungho
author_sort Park, Boram
collection PubMed
description Cigarette smoke exposure is a major risk factor in chronic obstructive pulmonary disease (COPD) and its interactions with genetic variants could affect lung function. However, few gene-smoking interactions have been reported. In this report, we evaluated the effects of gene-smoking interactions on lung function using Korea Associated Resource (KARE) data with the spirometric variables—forced expiratory volume in 1 s (FEV(1)). We found that variations in FEV(1) were different among smoking status. Thus, we considered a linear mixed model for association analysis under heteroscedasticity according to smoking status. We found a previously identified locus near SOX9 on chromosome 17 to be the most significant based on a joint test of the main and interaction effects of smoking. Smoking interactions were replicated with Gene-Environment of Interaction and phenotype (GENIE), Multi-Ethnic Study of Atherosclerosis-Lung (MESA-Lung), and COPDGene studies. We found that individuals with minor alleles, rs17765644, rs17178251, rs11870732, and rs4793541, tended to have lower FEV(1) values, and lung function decreased much faster with age for smokers. There have been very few reports to replicate a common variant gene-smoking interaction, and our results revealed that statistical models for gene-smoking interaction analyses should be carefully selected.
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spelling pubmed-60061582018-06-26 Genome-wide assessment of gene-by-smoking interactions in COPD Park, Boram Koo, So-My An, Jaehoon Lee, MoonGyu Kang, Hae Yeon Qiao, Dandi Cho, Michael H. Sung, Joohon Silverman, Edwin K. Yang, Hyeon-Jong Won, Sungho Sci Rep Article Cigarette smoke exposure is a major risk factor in chronic obstructive pulmonary disease (COPD) and its interactions with genetic variants could affect lung function. However, few gene-smoking interactions have been reported. In this report, we evaluated the effects of gene-smoking interactions on lung function using Korea Associated Resource (KARE) data with the spirometric variables—forced expiratory volume in 1 s (FEV(1)). We found that variations in FEV(1) were different among smoking status. Thus, we considered a linear mixed model for association analysis under heteroscedasticity according to smoking status. We found a previously identified locus near SOX9 on chromosome 17 to be the most significant based on a joint test of the main and interaction effects of smoking. Smoking interactions were replicated with Gene-Environment of Interaction and phenotype (GENIE), Multi-Ethnic Study of Atherosclerosis-Lung (MESA-Lung), and COPDGene studies. We found that individuals with minor alleles, rs17765644, rs17178251, rs11870732, and rs4793541, tended to have lower FEV(1) values, and lung function decreased much faster with age for smokers. There have been very few reports to replicate a common variant gene-smoking interaction, and our results revealed that statistical models for gene-smoking interaction analyses should be carefully selected. Nature Publishing Group UK 2018-06-18 /pmc/articles/PMC6006158/ /pubmed/29915320 http://dx.doi.org/10.1038/s41598-018-27463-5 Text en © The Author(s) 2018 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/.
spellingShingle Article
Park, Boram
Koo, So-My
An, Jaehoon
Lee, MoonGyu
Kang, Hae Yeon
Qiao, Dandi
Cho, Michael H.
Sung, Joohon
Silverman, Edwin K.
Yang, Hyeon-Jong
Won, Sungho
Genome-wide assessment of gene-by-smoking interactions in COPD
title Genome-wide assessment of gene-by-smoking interactions in COPD
title_full Genome-wide assessment of gene-by-smoking interactions in COPD
title_fullStr Genome-wide assessment of gene-by-smoking interactions in COPD
title_full_unstemmed Genome-wide assessment of gene-by-smoking interactions in COPD
title_short Genome-wide assessment of gene-by-smoking interactions in COPD
title_sort genome-wide assessment of gene-by-smoking interactions in copd
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006158/
https://www.ncbi.nlm.nih.gov/pubmed/29915320
http://dx.doi.org/10.1038/s41598-018-27463-5
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