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A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity
BACKGROUND: Lung function is a heritable complex phenotype with obesity being one of its important risk factors. However, knowledge of their shared genetic basis is limited. Most genome-wide association studies (GWASs) for lung function have been based on European populations, limiting the generalis...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513692/ https://www.ncbi.nlm.nih.gov/pubmed/33766948 http://dx.doi.org/10.1183/13993003.00199-2021 |
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author | Zhu, Zhaozhong Li, Jiachen Si, Jiahui Ma, Baoshan Shi, Huwenbo Lv, Jun Cao, Weihua Guo, Yu Millwood, Iona Y. Walters, Robin G. Lin, Kuang Yang, Ling Chen, Yiping Du, Huaidong Yu, Bo Hasegawa, Kohei Camargo, Carlos A. Moffatt, Miriam F. Cookson, William O.C. Chen, Junshi Chen, Zhengming Li, Liming Yu, Canqing Liang, Liming |
author_facet | Zhu, Zhaozhong Li, Jiachen Si, Jiahui Ma, Baoshan Shi, Huwenbo Lv, Jun Cao, Weihua Guo, Yu Millwood, Iona Y. Walters, Robin G. Lin, Kuang Yang, Ling Chen, Yiping Du, Huaidong Yu, Bo Hasegawa, Kohei Camargo, Carlos A. Moffatt, Miriam F. Cookson, William O.C. Chen, Junshi Chen, Zhengming Li, Liming Yu, Canqing Liang, Liming |
author_sort | Zhu, Zhaozhong |
collection | PubMed |
description | BACKGROUND: Lung function is a heritable complex phenotype with obesity being one of its important risk factors. However, knowledge of their shared genetic basis is limited. Most genome-wide association studies (GWASs) for lung function have been based on European populations, limiting the generalisability across populations. Large-scale lung function GWASs in other populations are lacking. METHODS: We included 100 285 subjects from the China Kadoorie Biobank (CKB). To identify novel loci for lung function, single-trait GWAS analyses were performed on forced expiratory volume in 1 s (FEV(1)), forced vital capacity (FVC) and FEV(1)/FVC in the CKB. We then performed genome-wide cross-trait analysis between lung function and obesity traits (body mass index (BMI), BMI-adjusted waist-to-hip ratio and BMI-adjusted waist circumference) to investigate the shared genetic effects in the CKB. Finally, polygenic risk scores (PRSs) of lung function were developed in the CKB and their interaction with BMI's association on lung function were examined. We also conducted cross-trait analysis in parallel with the CKB using up to 457 756 subjects from the UK Biobank (UKB) for replication and investigation of ancestry-specific effects. RESULTS: We identified nine genome-wide significant novel loci for FEV(1), six for FVC and three for FEV(1)/FVC in the CKB. FEV(1) and FVC showed significant negative genetic correlation with obesity traits in both the CKB and UKB. Genetic loci shared between lung function and obesity traits highlighted important biological pathways, including cell proliferation, embryo, skeletal and tissue development, and regulation of gene expression. Mendelian randomisation analysis suggested significant negative causal effects of BMI on FEV(1) and on FVC in both the CKB and UKB. Lung function PRSs significantly modified the effect of change in BMI on change in lung function during an average follow-up of 8 years. CONCLUSION: This large-scale GWAS of lung function identified novel loci and shared genetic aetiology between lung function and obesity. Change in BMI might affect change in lung function differently according to a subject's polygenic background. These findings may open new avenues for the development of molecular-targeted therapies for obesity and lung function improvement. |
format | Online Article Text |
id | pubmed-8513692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85136922021-10-15 A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity Zhu, Zhaozhong Li, Jiachen Si, Jiahui Ma, Baoshan Shi, Huwenbo Lv, Jun Cao, Weihua Guo, Yu Millwood, Iona Y. Walters, Robin G. Lin, Kuang Yang, Ling Chen, Yiping Du, Huaidong Yu, Bo Hasegawa, Kohei Camargo, Carlos A. Moffatt, Miriam F. Cookson, William O.C. Chen, Junshi Chen, Zhengming Li, Liming Yu, Canqing Liang, Liming Eur Respir J Original Research Articles BACKGROUND: Lung function is a heritable complex phenotype with obesity being one of its important risk factors. However, knowledge of their shared genetic basis is limited. Most genome-wide association studies (GWASs) for lung function have been based on European populations, limiting the generalisability across populations. Large-scale lung function GWASs in other populations are lacking. METHODS: We included 100 285 subjects from the China Kadoorie Biobank (CKB). To identify novel loci for lung function, single-trait GWAS analyses were performed on forced expiratory volume in 1 s (FEV(1)), forced vital capacity (FVC) and FEV(1)/FVC in the CKB. We then performed genome-wide cross-trait analysis between lung function and obesity traits (body mass index (BMI), BMI-adjusted waist-to-hip ratio and BMI-adjusted waist circumference) to investigate the shared genetic effects in the CKB. Finally, polygenic risk scores (PRSs) of lung function were developed in the CKB and their interaction with BMI's association on lung function were examined. We also conducted cross-trait analysis in parallel with the CKB using up to 457 756 subjects from the UK Biobank (UKB) for replication and investigation of ancestry-specific effects. RESULTS: We identified nine genome-wide significant novel loci for FEV(1), six for FVC and three for FEV(1)/FVC in the CKB. FEV(1) and FVC showed significant negative genetic correlation with obesity traits in both the CKB and UKB. Genetic loci shared between lung function and obesity traits highlighted important biological pathways, including cell proliferation, embryo, skeletal and tissue development, and regulation of gene expression. Mendelian randomisation analysis suggested significant negative causal effects of BMI on FEV(1) and on FVC in both the CKB and UKB. Lung function PRSs significantly modified the effect of change in BMI on change in lung function during an average follow-up of 8 years. CONCLUSION: This large-scale GWAS of lung function identified novel loci and shared genetic aetiology between lung function and obesity. Change in BMI might affect change in lung function differently according to a subject's polygenic background. These findings may open new avenues for the development of molecular-targeted therapies for obesity and lung function improvement. European Respiratory Society 2021-10-14 /pmc/articles/PMC8513692/ /pubmed/33766948 http://dx.doi.org/10.1183/13993003.00199-2021 Text en Copyright ©The authors 2021. https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org) |
spellingShingle | Original Research Articles Zhu, Zhaozhong Li, Jiachen Si, Jiahui Ma, Baoshan Shi, Huwenbo Lv, Jun Cao, Weihua Guo, Yu Millwood, Iona Y. Walters, Robin G. Lin, Kuang Yang, Ling Chen, Yiping Du, Huaidong Yu, Bo Hasegawa, Kohei Camargo, Carlos A. Moffatt, Miriam F. Cookson, William O.C. Chen, Junshi Chen, Zhengming Li, Liming Yu, Canqing Liang, Liming A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
title | A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
title_full | A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
title_fullStr | A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
title_full_unstemmed | A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
title_short | A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
title_sort | large-scale genome-wide association analysis of lung function in the chinese population identifies novel loci and highlights shared genetic aetiology with obesity |
topic | Original Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513692/ https://www.ncbi.nlm.nih.gov/pubmed/33766948 http://dx.doi.org/10.1183/13993003.00199-2021 |
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