A systematic analysis of protein-altering exonic variants in chronic obstructive pulmonary disease

Author:

Moll Matthew12,Jackson Victoria E.345ORCID,Yu Bing6,Grove Megan L.6,London Stephanie J.7ORCID,Gharib Sina A.8ORCID,Bartz Traci M.910,Sitlani Colleen M.10,Dupuis Josée11ORCID,O’Connor George T.12,Xu Hanfei11,Cassano Patricia A.1314,Patchen Bonnie Kaufmann13,Kim Woo Jin15ORCID,Park Jinkyeong116,Kim Kun Hee17,Han Buhm18,Barr R. Graham19,Manichaikul Ani20,Nguyen Jennifer N.20,Rich Stephen S.20,Lahousse Lies2122,Terzikhan Natalie21,Brusselle Guy21ORCID,Sakornsakolpat Phuwanat23,Liu Jiangyuan1ORCID,Benway Christopher J.1ORCID,Hall Ian P.24,Tobin Martin D.325,Wain Louise V.325,Silverman Edwin K.126,Cho Michael H.1226,Hobbs Brian D.1226ORCID

Affiliation:

1. Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts

2. Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts

3. Department of Health Sciences, University of Leicester, Leicester, United Kingdom

4. Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia

5. Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia

6. School of Public Health, University of Texas Health Science Center, Houston, Texas

7. Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services Research, Research Triangle Park, Durham, North Carolina

8. Center for Lung Biology, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington, Seattle, Washington

9. Department of Biostatistics, University of Washington, Seattle, Washington

10. Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington

11. Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts

12. Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Pulmonary Center, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts

13. Division of Nutritional Sciences, Cornell University, Ithaca, New York

14. Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York

15. Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea

16. Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang-Si, Gyeonggi-do, South Korea

17. Department of Convergence Medicine and Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea

18. Department of Medicine, Seoul National University College of Medicine, Seoul, South Korea

19. Department of Medicine, Columbia University Medical Center, New York, New York

20. Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia

21. Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands

22. Department of Bioanalysis, Ghent University, Ghent, Belgium

23. Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand

24. NIHR Nottingham Biomedical Research Centre, Queen’s Medical Centre, Nottingham, United Kingdom.

25. National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom

26. Harvard Medical School, Boston, Massachusetts

Abstract

Genome-wide association studies (GWASs) have identified regions associated with chronic obstructive pulmonary disease (COPD). GWASs of other diseases have shown an approximately 10-fold overrepresentation of nonsynonymous variants, despite limited exonic coverage on genotyping arrays. We hypothesized that a large-scale analysis of coding variants could discover novel genetic associations with COPD, including rare variants with large effect sizes. We performed a meta-analysis of exome arrays from 218,399 controls and 33,851 moderate-to-severe COPD cases. All exome-wide significant associations were present in regions previously identified by GWAS. We did not identify any novel rare coding variants with large effect sizes. Within GWAS regions on chromosomes 5q, 6p, and 15q, four coding variants were conditionally significant ( P < 0.00015) when adjusting for lead GWAS single-nucleotide polymorphisms A common gasdermin B ( GSDMB) splice variant (rs11078928) previously associated with a decreased risk for asthma was nominally associated with a decreased risk for COPD [minor allele frequency (MAF) = 0.46, P = 1.8e-4]. Two stop variants in coiled-coil α-helical rod protein 1 ( CCHCR1), a gene involved in regulating cell proliferation, were associated with COPD (both P < 0.0001). The SERPINA1 Z allele was associated with a random-effects odds ratio of 1.43 for COPD (95% confidence interval = 1.17–1.74), though with marked heterogeneity across studies. Overall, COPD-associated exonic variants were identified in genes involved in DNA methylation, cell-matrix interactions, cell proliferation, and cell death. In conclusion, we performed the largest exome array meta-analysis of COPD to date and identified potential functional coding variants. Future studies are needed to identify rarer variants and further define the role of coding variants in COPD pathogenesis.

Funder

British Lung Foundation

HHS | NIH | National Heart, Lung, and Blood Institute

HHS | NIH | National Institute of Environmental Health Sciences

NIHR Imperial Biomedical Research Centre

Wellcome Trust

Publisher

American Physiological Society

Subject

Cell Biology,Physiology (medical),Pulmonary and Respiratory Medicine,Physiology

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3