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A systematic analysis of protein-altering exonic variants in chronic obstructive pulmonary disease.
Moll, Matthew; Jackson, Victoria E; Yu, Bing; Grove, Megan L; London, Stephanie J; Gharib, Sina A; Bartz, Traci M; Sitlani, Colleen M; Dupuis, Josée; O'Connor, George T; Xu, Hanfei; Cassano, Patricia A; Patchen, Bonnie Kaufmann; Kim, Woo Jin; Park, Jinkyeong; Kim, Kun Hee; Han, Buhm; Barr, R Graham; Manichaikul, Ani; Nguyen, Jennifer N; Rich, Stephen S; Lahousse, Lies; Terzikhan, Natalie; Brusselle, Guy; Sakornsakolpat, Phuwanat; Liu, Jiangyuan; Benway, Christopher J; Hall, Ian P; Tobin, Martin D; Wain, Louise V; Silverman, Edwin K; Cho, Michael H; Hobbs, Brian D.
Afiliação
  • Moll M; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Jackson VE; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Yu B; Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
  • Grove ML; Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia.
  • London SJ; Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia.
  • Gharib SA; School of Public Health, University of Texas Health Science Center, Houston, Texas.
  • Bartz TM; School of Public Health, University of Texas Health Science Center, Houston, Texas.
  • Sitlani CM; 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.
  • Dupuis J; Center for Lung Biology, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington, Seattle, Washington.
  • O'Connor GT; Department of Biostatistics, University of Washington, Seattle, Washington.
  • Xu H; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington.
  • Cassano PA; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington.
  • Patchen BK; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
  • Kim WJ; Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Pulmonary Center, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts.
  • Park J; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
  • Kim KH; Division of Nutritional Sciences, Cornell University, Ithaca, New York.
  • Han B; Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York.
  • Barr RG; Division of Nutritional Sciences, Cornell University, Ithaca, New York.
  • Manichaikul A; Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea.
  • Nguyen JN; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Rich SS; Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang-Si, Gyeonggi-do, South Korea.
  • Lahousse L; Department of Convergence Medicine and Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Terzikhan N; Department of Medicine, Seoul National University College of Medicine, Seoul, South Korea.
  • Brusselle G; Department of Medicine, Columbia University Medical Center, New York, New York.
  • Sakornsakolpat P; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
  • Liu J; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
  • Benway CJ; Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia.
  • Hall IP; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Tobin MD; Department of Bioanalysis, Ghent University, Ghent, Belgium.
  • Wain LV; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Silverman EK; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Cho MH; Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
  • Hobbs BD; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Am J Physiol Lung Cell Mol Physiol ; 321(1): L130-L143, 2021 07 01.
Article em En | MEDLINE | ID: mdl-33909500
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Marcadores Genéticos / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Doença Pulmonar Obstrutiva Crônica / Estudo de Associação Genômica Ampla / Exoma Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: Am J Physiol Lung Cell Mol Physiol Assunto da revista: BIOLOGIA MOLECULAR / FISIOLOGIA Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Marcadores Genéticos / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Doença Pulmonar Obstrutiva Crônica / Estudo de Associação Genômica Ampla / Exoma Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: Am J Physiol Lung Cell Mol Physiol Assunto da revista: BIOLOGIA MOLECULAR / FISIOLOGIA Ano de publicação: 2021 Tipo de documento: Article