Suppr超能文献

一项针对中国人群肺功能的大规模全基因组关联分析鉴定出了新的位点,并强调了与肥胖的共同遗传病因。

A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity.

机构信息

Program in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Dept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

Eur Respir J. 2021 Oct 14;58(4). doi: 10.1183/13993003.00199-2021. Print 2021 Oct.

Abstract

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), forced vital capacity (FVC) and FEV/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, six for FVC and three for FEV/FVC in the CKB. FEV 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 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.

摘要

背景

肺功能是一种遗传性复杂表型,肥胖是其重要的危险因素之一。然而,人们对其共同遗传基础的了解有限。大多数肺功能的全基因组关联研究(GWAS)都是基于欧洲人群,这限制了其在人群中的普遍性。其他人群中缺乏大规模的肺功能 GWAS。

方法

我们纳入了来自中国慢性病前瞻性研究(CKB)的 100285 名受试者。为了鉴定肺功能的新基因座,我们在 CKB 中对 1 秒用力呼气量(FEV)、用力肺活量(FVC)和 FEV/FVC 进行了单性状 GWAS 分析。然后,我们在肺功能和肥胖特征(体重指数(BMI)、BMI 调整后的腰围臀围比和 BMI 调整后的腰围)之间进行了全基因组跨性状分析,以研究 CKB 中共同的遗传效应。最后,我们在 CKB 中开发了肺功能的多基因风险评分(PRS),并研究了其与 BMI 对肺功能的关联的相互作用。我们还使用英国生物库(UKB)中多达 457756 名受试者进行了平行的跨性状分析,以进行复制和研究特定于祖先的效应。

结果

我们在 CKB 中鉴定了九个与 FEV 相关的全基因组显著新基因座,六个与 FVC 相关的基因座,三个与 FEV/FVC 相关的基因座。FEV 和 FVC 在 CKB 和 UKB 中与肥胖特征呈显著负遗传相关。肺功能和肥胖特征之间共享的遗传位点突出了重要的生物学途径,包括细胞增殖、胚胎、骨骼和组织发育以及基因表达调控。孟德尔随机化分析表明,BMI 对 FEV 和 FVC 的影响在 CKB 和 UKB 中均呈显著负因果关系。在平均 8 年的随访中,肺功能 PRS 显著改变了 BMI 变化对肺功能变化的影响。

结论

这项大规模的肺功能 GWAS 鉴定了肺功能和肥胖之间的新基因座和共同遗传病因。BMI 的变化可能会根据个体的多基因背景,对肺功能的变化产生不同的影响。这些发现可能为肥胖和肺功能改善的分子靶向治疗的发展开辟新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e83/8513692/89f8d82e4144/ERJ-00199-2021.01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验