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Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank
BACKGROUND AND OBJECTIVE: Obesity and asthma impose a heavy health and economic burden on millions of people around the world. The complex interaction between genetic traits and phenotypes caused the mechanism between obesity and asthma is still vague. This study investigates the relationship among...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730389/ https://www.ncbi.nlm.nih.gov/pubmed/36600406 http://dx.doi.org/10.1136/bmjresp-2022-001355 |
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author | Huang, Ying-Jhen Chu, Yi-Chi Chen, Chia-Wei Yang, Hsin-Chou Huang, Hung-Ling Hwang, Jing-Shiang Chen, Chun-Houh Chan, Ta-Chien |
author_facet | Huang, Ying-Jhen Chu, Yi-Chi Chen, Chia-Wei Yang, Hsin-Chou Huang, Hung-Ling Hwang, Jing-Shiang Chen, Chun-Houh Chan, Ta-Chien |
author_sort | Huang, Ying-Jhen |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Obesity and asthma impose a heavy health and economic burden on millions of people around the world. The complex interaction between genetic traits and phenotypes caused the mechanism between obesity and asthma is still vague. This study investigates the relationship among obesity-related polygenic risk score (PRS), obesity phenotypes and the risk of having asthma. METHODS: This is a matched case–control study, with 4 controls (8288 non-asthmatic) for each case (2072 asthmatic). Data were obtained from the 2008–2015 Taiwan Biobank Database and linked to the 2000–2016 National Health Insurance Research Database. All participants were ≥30 years old with no history of cancer and had a complete questionnaire, as well as physical examination, genome-wide single nucleotide polymorphisms and clinical diagnosis data. Environmental exposure, PM(2.5), was also considered. Multivariate adjusted ORs and 95% CIs were calculated using conditional logistic regression stratified by age and sex. Mediation analysis was also assessed, using a generalised linear model. RESULTS: We found that the obese phenotype was associated with significantly increased odds of asthma by approximately 26%. Four obesity-related PRS, including body mass index (OR=1.07 (1.01–1.13)), waist circumference (OR=1.10 (1.04–1.17)), central obesity as defined by waist-to-height ratio (OR=1.09 (1.03–1.15)) and general–central obesity (OR=1.06 (1.00–1.12)), were associated with increased odds of asthma. Additional independent risk factors for asthma included lower educational level, family history of asthma, certain chronic diseases and increased PM(2.5) exposure. Obesity-related PRS is an indirect risk factor for asthma, the link being fully mediated by the trait of obesity. CONCLUSIONS: Obese phenotypes and obesity-related PRS are independent risk factors for having asthma in adults in the Taiwan Biobank. Overall, genetic risk for obesity increases the risk of asthma by affecting the obese phenotype. |
format | Online Article Text |
id | pubmed-9730389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-97303892022-12-09 Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank Huang, Ying-Jhen Chu, Yi-Chi Chen, Chia-Wei Yang, Hsin-Chou Huang, Hung-Ling Hwang, Jing-Shiang Chen, Chun-Houh Chan, Ta-Chien BMJ Open Respir Res Asthma BACKGROUND AND OBJECTIVE: Obesity and asthma impose a heavy health and economic burden on millions of people around the world. The complex interaction between genetic traits and phenotypes caused the mechanism between obesity and asthma is still vague. This study investigates the relationship among obesity-related polygenic risk score (PRS), obesity phenotypes and the risk of having asthma. METHODS: This is a matched case–control study, with 4 controls (8288 non-asthmatic) for each case (2072 asthmatic). Data were obtained from the 2008–2015 Taiwan Biobank Database and linked to the 2000–2016 National Health Insurance Research Database. All participants were ≥30 years old with no history of cancer and had a complete questionnaire, as well as physical examination, genome-wide single nucleotide polymorphisms and clinical diagnosis data. Environmental exposure, PM(2.5), was also considered. Multivariate adjusted ORs and 95% CIs were calculated using conditional logistic regression stratified by age and sex. Mediation analysis was also assessed, using a generalised linear model. RESULTS: We found that the obese phenotype was associated with significantly increased odds of asthma by approximately 26%. Four obesity-related PRS, including body mass index (OR=1.07 (1.01–1.13)), waist circumference (OR=1.10 (1.04–1.17)), central obesity as defined by waist-to-height ratio (OR=1.09 (1.03–1.15)) and general–central obesity (OR=1.06 (1.00–1.12)), were associated with increased odds of asthma. Additional independent risk factors for asthma included lower educational level, family history of asthma, certain chronic diseases and increased PM(2.5) exposure. Obesity-related PRS is an indirect risk factor for asthma, the link being fully mediated by the trait of obesity. CONCLUSIONS: Obese phenotypes and obesity-related PRS are independent risk factors for having asthma in adults in the Taiwan Biobank. Overall, genetic risk for obesity increases the risk of asthma by affecting the obese phenotype. BMJ Publishing Group 2022-12-06 /pmc/articles/PMC9730389/ /pubmed/36600406 http://dx.doi.org/10.1136/bmjresp-2022-001355 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Asthma Huang, Ying-Jhen Chu, Yi-Chi Chen, Chia-Wei Yang, Hsin-Chou Huang, Hung-Ling Hwang, Jing-Shiang Chen, Chun-Houh Chan, Ta-Chien Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank |
title | Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank |
title_full | Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank |
title_fullStr | Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank |
title_full_unstemmed | Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank |
title_short | Relationship among genetic variants, obesity traits and asthma in the Taiwan Biobank |
title_sort | relationship among genetic variants, obesity traits and asthma in the taiwan biobank |
topic | Asthma |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730389/ https://www.ncbi.nlm.nih.gov/pubmed/36600406 http://dx.doi.org/10.1136/bmjresp-2022-001355 |
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