Shared genetic aetiology of respiratory diseases: a genome-wide multitraits association analysis.

IF 3.6 3区 医学 Q1 RESPIRATORY SYSTEM
Zhe Chen, Ning Gao, Xuanye Wang, Xiangming Chen, YaQi Zeng, Cong Li, Xiahong Yang, Qidong Cai, Xiang Wang
{"title":"Shared genetic aetiology of respiratory diseases: a genome-wide multitraits association analysis.","authors":"Zhe Chen, Ning Gao, Xuanye Wang, Xiangming Chen, YaQi Zeng, Cong Li, Xiahong Yang, Qidong Cai, Xiang Wang","doi":"10.1136/bmjresp-2023-002148","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aims to explore the common genetic basis between respiratory diseases and to identify shared molecular and biological mechanisms.</p><p><strong>Methods: </strong>This genome-wide pleiotropic association study uses multiple statistical methods to systematically analyse the shared genetic basis between five respiratory diseases (asthma, chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, lung cancer and snoring) using the largest publicly available genome wide association studies summary statistics. The missions of this study are to evaluate global and local genetic correlations, to identify pleiotropic loci, to elucidate biological pathways at the multiomics level and to explore causal relationships between respiratory diseases. Data were collected from 27 November 2022 to 30 March 2023 and analysed from 14 April 2023 to 13 July 2023.</p><p><strong>Main outcomes and measures: </strong>The primary outcomes are shared genetic loci, pleiotropic genes, biological pathways and estimates of genetic correlations and causal effects.</p><p><strong>Results: </strong>Significant genetic correlations were found for 10 paired traits in 5 respiratory diseases. Cross-Phenotype Association identified 12 400 significant potential pleiotropic single-nucleotide polymorphism at 156 independent pleiotropic loci. In addition, multitrait colocalisation analysis identified 15 colocalised loci and a subset of colocalised traits. Gene-based analyses identified 432 potential pleiotropic genes and were further validated at the transcriptome and protein levels. Both pathway enrichment and single-cell enrichment analyses supported the role of the immune system in respiratory diseases. Additionally, five pairs of respiratory diseases have a causal relationship.</p><p><strong>Conclusions and relevance: </strong>This study reveals the common genetic basis and pleiotropic genes among respiratory diseases. It provides strong evidence for further therapeutic strategies and risk prediction for the phenomenon of respiratory disease comorbidity.</p>","PeriodicalId":9048,"journal":{"name":"BMJ Open Respiratory Research","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11163672/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Open Respiratory Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjresp-2023-002148","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: This study aims to explore the common genetic basis between respiratory diseases and to identify shared molecular and biological mechanisms.

Methods: This genome-wide pleiotropic association study uses multiple statistical methods to systematically analyse the shared genetic basis between five respiratory diseases (asthma, chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, lung cancer and snoring) using the largest publicly available genome wide association studies summary statistics. The missions of this study are to evaluate global and local genetic correlations, to identify pleiotropic loci, to elucidate biological pathways at the multiomics level and to explore causal relationships between respiratory diseases. Data were collected from 27 November 2022 to 30 March 2023 and analysed from 14 April 2023 to 13 July 2023.

Main outcomes and measures: The primary outcomes are shared genetic loci, pleiotropic genes, biological pathways and estimates of genetic correlations and causal effects.

Results: Significant genetic correlations were found for 10 paired traits in 5 respiratory diseases. Cross-Phenotype Association identified 12 400 significant potential pleiotropic single-nucleotide polymorphism at 156 independent pleiotropic loci. In addition, multitrait colocalisation analysis identified 15 colocalised loci and a subset of colocalised traits. Gene-based analyses identified 432 potential pleiotropic genes and were further validated at the transcriptome and protein levels. Both pathway enrichment and single-cell enrichment analyses supported the role of the immune system in respiratory diseases. Additionally, five pairs of respiratory diseases have a causal relationship.

Conclusions and relevance: This study reveals the common genetic basis and pleiotropic genes among respiratory diseases. It provides strong evidence for further therapeutic strategies and risk prediction for the phenomenon of respiratory disease comorbidity.

呼吸系统疾病的共同遗传病因:全基因组多特征关联分析。
研究目的本研究旨在探索呼吸系统疾病之间的共同遗传基础,并找出共同的分子和生物学机制:这项全基因组多效应关联研究采用多种统计方法,利用最大规模的公开全基因组关联研究汇总统计数据,系统分析五种呼吸系统疾病(哮喘、慢性阻塞性肺病、特发性肺纤维化、肺癌和打鼾)之间的共同遗传基础。这项研究的任务是评估整体和局部遗传相关性,确定多效应位点,在多组学水平上阐明生物通路,并探索呼吸系统疾病之间的因果关系。数据收集时间为 2022 年 11 月 27 日至 2023 年 3 月 30 日,分析时间为 2023 年 4 月 14 日至 2023 年 7 月 13 日:主要结果是共有遗传位点、多效基因、生物通路以及遗传相关性和因果效应的估计值:结果:在 5 种呼吸系统疾病的 10 个配对性状中发现了显著的遗传相关性。交叉表型关联在 156 个独立的多向性位点上发现了 12 400 个显著的潜在多向性单核苷酸多态性。此外,多性状共定位分析确定了 15 个共定位基因座和一个共定位性状子集。基于基因的分析确定了 432 个潜在的多效基因,并在转录组和蛋白质水平上进行了进一步验证。途径富集和单细胞富集分析都支持免疫系统在呼吸系统疾病中的作用。此外,五对呼吸系统疾病存在因果关系:这项研究揭示了呼吸系统疾病的共同遗传基础和多效应基因。结论和相关性:本研究揭示了呼吸系统疾病的共同遗传基础和多效基因,为呼吸系统疾病合并症的进一步治疗策略和风险预测提供了有力证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
BMJ Open Respiratory Research
BMJ Open Respiratory Research RESPIRATORY SYSTEM-
CiteScore
6.60
自引率
2.40%
发文量
95
审稿时长
12 weeks
期刊介绍: BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信