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He Y, Lu W, Jee YH, Wang Y, Tsuo K, Qian DC, Diao JA, Huang H, Patel CJ, Byun J, Pasaniuc B, Atkinson EG, Amos CI, Moll M, Cho MH, Martin AR. Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.25.24312558. [PMID: 39252935 PMCID: PMC11383478 DOI: 10.1101/2024.08.25.24312558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
While respiratory diseases such as COPD and asthma share many risk factors, most studies investigate them in insolation and in predominantly European ancestry populations. Here, we conducted the most powerful multi-trait and -ancestry genetic analysis of respiratory diseases and auxiliary traits to date. Our approach improves the power of genetic discovery across traits and ancestries, identifying 44 novel loci associated with lung function in individuals of East Asian ancestry. Using these results, we developed PRSxtra (cross TRait and Ancestry), a multi-trait and -ancestry polygenic risk score approach that leverages shared components of heritable risk via pleiotropic effects. PRSxtra significantly improved the prediction of asthma, COPD, and lung cancer compared to trait- and ancestry-matched PRS in a multi-ancestry cohort from the All of Us Research Program, especially in diverse populations. PRSxtra identified individuals in the top decile with over four-fold odds of asthma and COPD compared to the first decile. Our results present a new framework for multi-trait and -ancestry studies of respiratory diseases to improve genetic discovery and polygenic prediction.
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Affiliation(s)
- Yixuan He
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Wenhan Lu
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yon Ho Jee
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ying Wang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kristin Tsuo
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA, USA
| | - David C Qian
- Department of Thoracic Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James A Diao
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Hailiang Huang
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Jinyoung Byun
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Bogdan Pasaniuc
- Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
- Department of Computational Medicine, University of California, Los Angeles
| | - Elizabeth G Atkinson
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Section on Pulmonary, Critical Care, Sleep and Allergy, Department of Veteran Affairs, Boston Healthcare System, West Roxbury, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alicia R Martin
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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Baddour NA, Paulin LM, Gassett AJ, Woo H, Hoffman EA, Newell JD, Woodruff PG, Pirozzi CS, Barjaktarevic I, Barr RG, O’Neal W, Han MK, Martinez FJ, Peters SP, Hastie AT, Hansel NN, Ortega VE, Kaufman JD, Sack CS. Air Pollution Exposure and Interstitial Lung Features in SPIROMICS Participants with Chronic Obstructive Pulmonary Disease. Ann Am Thorac Soc 2024; 21:1251-1260. [PMID: 38568439 PMCID: PMC11376362 DOI: 10.1513/annalsats.202308-741oc] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 04/02/2024] [Indexed: 08/31/2024] Open
Abstract
Rationale: It is unknown whether air pollution is associated with radiographic features of interstitial lung disease in individuals with chronic obstructive pulmonary disease (COPD). Objectives: To determine whether air pollution increases the prevalence of interstitial lung abnormalities (ILA) or percent high-attenuation areas (HAA) on computed tomography (CT) in individuals with a heavy smoking history and COPD. Methods: We performed a cross-sectional study of SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), focused on current or former smokers with COPD. Ten-year exposure to particulate matter ⩽2.5 μm in aerodynamic diameter (PM2.5), nitrogen oxides (NOx), nitrogen dioxide (NO2), and ozone before enrollment CT (completed between 2010 and 2015) were estimated with validated spatiotemporal models at residential addresses. We applied adjusted multivariable modified Poisson regression and linear regression to investigate associations between pollution exposure and relative risk (RR) of ILA or increased percent HAA (between -600 and -250 Hounsfield units), respectively. We assessed for effect modification by MUC5B-promoter polymorphism (variant allele carriers GT or TT vs. GG at rs3705950), smoking status, sex, and percent emphysema. Results: Among 1,272 participants with COPD assessed for HAA, 424 were current smokers, and 249 were carriers of the variant MUC5B allele. A total of 519 participants were assessed for ILA. We found no association between pollution exposure and ILA or HAA. Associations between pollutant exposures and risk of ILA were modified by the presence of MUC5B polymorphism (P value interaction term for NOx = 0.04 and PM2.5 = 0.05) and smoking status (P value interaction term for NOx = 0.05; NO2 = 0.01; and ozone = 0.05). With higher exposure to NOx and PM2.5, MUC5B variant carriers had an increased risk of ILA (RR per 26 ppb NOx, 2.41; 95% confidence interval [CI], 0.97-6.0; and RR per 4 μg ⋅ m-3 PM2.5, 1.43; 95% CI, 0.93-2.2, respectively). With higher exposure to NO2, former smokers had an increased risk of ILA (RR per 10 ppb, 1.64; 95% CI, 1.0-2.7). Conclusions: Exposure to ambient air pollution was not associated with interstitial features on CT in this population of heavy smokers with COPD. MUC5B modified the association between pollution and ILA, suggesting that gene-environment interactions may influence prevalence of interstitial lung features in COPD.
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Affiliation(s)
| | - Laura M. Paulin
- Department of Medicine, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | | | - Han Woo
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Eric A. Hoffman
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - John D. Newell
- Department of Radiology, University of Washington, Seattle, Washington
- Department of Radiology, University of Iowa, Iowa City, Iowa
| | - Prescott G. Woodruff
- Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California
| | - Cheryl S. Pirozzi
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Igor Barjaktarevic
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - R. Graham Barr
- Department of Medicine, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York
| | - Wanda O’Neal
- Marsico Lung Institute, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Meilan K. Han
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Fernando J. Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, Cornell University, New York, New York
| | - Stephen P. Peters
- Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina; and
| | - Annette T. Hastie
- Section of Pulmonary, Critical Care, Allergy and Immunologic Diseases, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina; and
| | - Nadia N. Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Victor E. Ortega
- Division of Respiratory Diseases, Department of Internal Medicine, Mayo Clinic, Scottsdale, Arizona
| | - Joel D. Kaufman
- Department of Medicine
- Department of Environmental and Occupational Health Sciences, and
| | - Coralynn S. Sack
- Department of Medicine
- Department of Environmental and Occupational Health Sciences, and
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Abstract
In the United States, asthma and chronic obstructive pulmonary disease (COPD) disproportionately affect African Americans, Puerto Ricans, and other minority groups. Compared with non-Hispanic whites, minorities have been marginalized and more frequently exposed to environmental risk factors such as tobacco smoke and outdoor and indoor pollutants. Such divergent environmental exposures, alone or interacting with heredity, lead to disparities in the prevalence, morbidity, and mortality of asthma and COPD, which are worsened by lack of access to health care. In this article, we review the burden and risk factors for racial or ethnic disparities in asthma and COPD and discuss future directions in this field.
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Affiliation(s)
- Erick Forno
- Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Victor E Ortega
- Division of Respiratory Medicine, Department of Medicine, Mayo Clinic, Phoenix, AZ, USA
| | - Juan C Celedón
- Division of Pulmonary Medicine, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.
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Hill AC, Guo C, Litkowski EM, Manichaikul AW, Yu B, Konigsberg IR, Gorbet BA, Lange LA, Pratte KA, Kechris KJ, DeCamp M, Coors M, Ortega VE, Rich SS, Rotter JI, Gerzsten RE, Clish CB, Curtis JL, Hu X, Obeidat ME, Morris M, Loureiro J, Ngo D, O'Neal WK, Meyers DA, Bleecker ER, Hobbs BD, Cho MH, Banaei-Kashani F, Bowler RP. Large scale proteomic studies create novel privacy considerations. Sci Rep 2023; 13:9254. [PMID: 37286633 PMCID: PMC10247808 DOI: 10.1038/s41598-023-34866-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 05/09/2023] [Indexed: 06/09/2023] Open
Abstract
Privacy protection is a core principle of genomic but not proteomic research. We identified independent single nucleotide polymorphism (SNP) quantitative trait loci (pQTL) from COPDGene and Jackson Heart Study (JHS), calculated continuous protein level genotype probabilities, and then applied a naïve Bayesian approach to link SomaScan 1.3K proteomes to genomes for 2812 independent subjects from COPDGene, JHS, SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) and Multi-Ethnic Study of Atherosclerosis (MESA). We correctly linked 90-95% of proteomes to their correct genome and for 95-99% we identify the 1% most likely links. The linking accuracy in subjects with African ancestry was lower (~ 60%) unless training included diverse subjects. With larger profiling (SomaScan 5K) in the Atherosclerosis Risk Communities (ARIC) correct identification was > 99% even in mixed ancestry populations. We also linked proteomes-to-proteomes and used the proteome only to determine features such as sex, ancestry, and first-degree relatives. When serial proteomes are available, the linking algorithm can be used to identify and correct mislabeled samples. This work also demonstrates the importance of including diverse populations in omics research and that large proteomic datasets (> 1000 proteins) can be accurately linked to a specific genome through pQTL knowledge and should not be considered unidentifiable.
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Affiliation(s)
| | | | | | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Bing Yu
- Department of Epidemiology and Human Genetics Center, UTHealth School of Public Health, Houston, TX, USA
| | | | - Betty A Gorbet
- Department of Epidemiology and Human Genetics Center, UTHealth School of Public Health, Houston, TX, USA
| | - Leslie A Lange
- University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | | | | | - Matthew DeCamp
- University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Marilyn Coors
- University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | | | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Robert E Gerzsten
- Division of Cardiovascular Medicine, Cardiovascular Research Center, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Clary B Clish
- Metabolomics Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | | | - Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | | | | | | | | | - Wanda K O'Neal
- University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | | | - Brian D Hobbs
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael H Cho
- Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
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5
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Mornex JF, Balduyck M, Bouchecareilh M, Cuvelier A, Epaud R, Kerjouan M, Le Rouzic O, Pison C, Plantier L, Pujazon MC, Reynaud-Gaubert M, Toutain A, Trumbic B, Willemin MC, Zysman M, Brun O, Campana M, Chabot F, Chamouard V, Dechomet M, Fauve J, Girerd B, Gnakamene C, Lefrançois S, Lombard JN, Maitre B, Maynié-François C, Moerman A, Payancé A, Reix P, Revel D, Revel MP, Schuers M, Terrioux P, Theron D, Willersinn F, Cottin V, Mal H. [French clinical practice guidelines for the diagnosis and management of lung disease with alpha 1-antitrypsin deficiency]. Rev Mal Respir 2022; 39:633-656. [PMID: 35906149 DOI: 10.1016/j.rmr.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/31/2022] [Indexed: 11/18/2022]
Affiliation(s)
- J-F Mornex
- Université de Lyon, université Lyon 1, INRAE, EPHE, UMR754, IVPC, 69007 Lyon, France; Centre de référence coordonnateur des maladies pulmonaires rares, hospices civils de Lyon, hôpital Louis-Pradel, service de pneumologie, 69500 Bron, France.
| | - M Balduyck
- CHU de Lille, centre de biologie pathologie, laboratoire de biochimie et biologie moléculaire HMNO, faculté de pharmacie, EA 7364 RADEME, université de Lille, service de biochimie et biologie moléculaire, Lille, France
| | - M Bouchecareilh
- Université de Bordeaux, CNRS, Inserm U1053 BaRITon, Bordeaux, France
| | - A Cuvelier
- Service de pneumologie, oncologie thoracique et soins intensifs respiratoires, CHU de Rouen, Rouen, France; Groupe de recherche sur le handicap ventilatoire et neurologique (GRHVN), université Normandie Rouen, Rouen, France
| | - R Epaud
- Centre de références des maladies respiratoires rares, site de Créteil, Créteil, France
| | - M Kerjouan
- Service de pneumologie, CHU Pontchaillou, Rennes, France
| | - O Le Rouzic
- CHU Lille, service de pneumologie et immuno-allergologie, Lille, France; Université de Lille, CNRS, Inserm, institut Pasteur de Lille, U1019, UMR 9017, CIIL, OpInfIELD team, Lille, France
| | - C Pison
- Service de pneumologie physiologie, pôle thorax et vaisseaux, CHU de Grenoble, Grenoble, France; Université Grenoble Alpes, Saint-Martin-d'Hères, France
| | - L Plantier
- Service de pneumologie et explorations fonctionnelles respiratoires, CHRU de Tours, Tours, France; Université de Tours, CEPR, Inserm UMR1100, Tours, France
| | - M-C Pujazon
- Service de pneumologie et allergologie, pôle clinique des voies respiratoires, hôpital Larrey, Toulouse, France
| | - M Reynaud-Gaubert
- Service de pneumologie, centre de compétence pour les maladies pulmonaires rares, AP-HM, CHU Nord, Marseille, France; Aix-Marseille université, IHU-Méditerranée infection, Marseille, France
| | - A Toutain
- Service de génétique, CHU de Tours, Tours, France; UMR 1253, iBrain, université de Tours, Inserm, Tours, France
| | | | - M-C Willemin
- Service de pneumologie et oncologie thoracique, CHU d'Angers, hôpital Larrey, Angers, France
| | - M Zysman
- Service de pneumologie, CHU Haut-Lévèque, Bordeaux, France; Université de Bordeaux, centre de recherche cardiothoracique, Inserm U1045, CIC 1401, Pessac, France
| | - O Brun
- Centre de pneumologie et d'allergologie respiratoire, Perpignan, France
| | - M Campana
- Service de pneumologie, CHR d'Orléans, Orléans, France
| | - F Chabot
- Département de pneumologie, CHRU de Nancy, Vandœuvre-lès-Nancy, France; Inserm U1116, université de Lorraine, Vandœuvre-lès-Nancy, France
| | - V Chamouard
- Service pharmaceutique, hôpital cardiologique, GHE, HCL, Bron, France
| | - M Dechomet
- Service d'immunologie biologique, centre de biologie sud, centre hospitalier Lyon Sud, HCL, Pierre-Bénite, France
| | - J Fauve
- Cabinet médical, Bollène, France
| | - B Girerd
- Université Paris-Saclay, faculté de médecine, Le Kremlin-Bicêtre, France; AP-HP, centre de référence de l'hypertension pulmonaire, service de pneumologie et soins intensifs respiratoires, hôpital Bicêtre, Le Kremlin-Bicêtre, France; Inserm UMR_S 999, hôpital Marie-Lannelongue, Le Plessis-Robinson, France
| | - C Gnakamene
- Service de pneumologie, CH de Montélimar, GH Portes de Provence, Montélimar, France
| | | | | | - B Maitre
- Service de pneumologie, centre hospitalier intercommunal, Créteil, France; Inserm U952, UFR de santé, université Paris-Est Créteil, Créteil, France
| | - C Maynié-François
- Université de Lyon, collège universitaire de médecine générale, Lyon, France; Université Claude-Bernard Lyon 1, laboratoire de biométrie et biologie évolutive, UMR5558, Villeurbanne, France
| | - A Moerman
- CHRU de Lille, hôpital Jeanne-de-Flandre, Lille, France; Cabinet de médecine générale, Lille, France
| | - A Payancé
- Service d'hépatologie, CHU Beaujon, AP-HP, Clichy, France; Filière de santé maladies rares du foie de l'adulte et de l'enfant (FilFoie), CHU Saint-Antoine, Paris, France
| | - P Reix
- Service de pneumologie pédiatrique, allergologie, mucoviscidose, hôpital Femme-Mère-Enfant, HCL, Bron, France; UMR 5558 CNRS équipe EMET, université Claude-Bernard Lyon 1, Villeurbanne, France
| | - D Revel
- Université Claude-Bernard Lyon 1, Lyon, France; Hospices civils de Lyon, Lyon, France
| | - M-P Revel
- Université Paris Descartes, Paris, France; Service de radiologie, hôpital Cochin, AP-HP, Paris, France
| | - M Schuers
- Université de Rouen Normandie, département de médecine générale, Rouen, France; Sorbonne université, LIMICS U1142, Paris, France
| | | | - D Theron
- Asten santé, Isneauville, France
| | | | - V Cottin
- Université de Lyon, université Lyon 1, INRAE, EPHE, UMR754, IVPC, 69007 Lyon, France; Centre de référence coordonnateur des maladies pulmonaires rares, hospices civils de Lyon, hôpital Louis-Pradel, service de pneumologie, 69500 Bron, France
| | - H Mal
- Service de pneumologie B, hôpital Bichat-Claude-Bernard, AP-HP, Paris, France; Inserm U1152, université Paris Diderot, site Xavier Bichat, Paris, France
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6
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Mornex JF. [Alpha 1-antitrypsin deficiency]. Rev Mal Respir 2022; 39:698-707. [PMID: 35715315 DOI: 10.1016/j.rmr.2022.02.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 02/26/2022] [Indexed: 10/18/2022]
Abstract
INTRODUCTION Pulmonary emphysema and liver disease are the clinical expressions of alpha 1-antitrypsin deficiency, an autosomal recessive genetic disease. STATE OF THE ART Alpha 1-antitrypsin deficiency is usually associated with the homozygous Z variant of the SERPINA1 gene. Its clinical expression always consists in a substantial reduction of alpha 1-antitrypsin serum concentration and its variants are analyzed by isoelectric focalization or molecular techniques. Assessed by CO transfer alteration and CT scan, risk of pulmonary emphysema is increased by tobacco consumption. Assessed by transient elastography and liver ultrasound, risk of liver disease is increased by alcohol consumption or obesity. Treatment of COPD-associated alpha 1-antitrypsin deficiency does not differ from that of other forms of COPD. In patients presenting with severe deficiency, augmentation therapy with plasma-derived alpha 1-antitrypsin reduces the progression of emphysema, as shown in terms of CT-based lung density metrics. Patients with alpha 1-antitrypsin deficiency with a ZZ genotype should refrain from alcohol or tobacco consumption, and watch their weight; so should their close relatives. PERSPECTIVES Modulation of alpha 1-antitrypsin liver production offers an interesting new therapeutic perspective. CONCLUSION Homozygous (Z) variants of the SERPINA1 gene confer an increased risk of pulmonary emphysema and liver disease, particularly among smokers, drinkers and obese persons.
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Affiliation(s)
- J-F Mornex
- Université de Lyon, université Lyon 1, INRAE, EPHE, UMR754, IVPC, Lyon, France; Centre de référence des maladies respiratoires rares, Orphalung, RESPIFIL, 69500 Bron, Bron, France; Service de pneumologie, hôpital Louis-Pradel, hospices civils de Lyon, 69500 Bron, France.
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7
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Ghosh AJ, Hobbs BD, Moll M, Saferali A, Boueiz A, Yun JH, Sciurba F, Barwick L, Limper AH, Flaherty K, Criner G, Brown KK, Wise R, Martinez FJ, Lomas D, Castaldi PJ, Carey VJ, DeMeo DL, Cho MH, Silverman EK, Hersh CP. Alpha-1 Antitrypsin MZ Heterozygosity Is an Endotype of Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2022; 205:313-323. [PMID: 34762809 PMCID: PMC8886988 DOI: 10.1164/rccm.202106-1404oc] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 11/09/2021] [Indexed: 02/03/2023] Open
Abstract
Rationale: Multiple studies have demonstrated an increased risk of chronic obstructive pulmonary disease (COPD) in heterozygous carriers of the AAT (alpha-1 antitrypsin) Z allele. However, it is not known if MZ subjects with COPD are phenotypically different from noncarriers (MM genotype) with COPD. Objectives: To assess if MZ subjects with COPD have different clinical features compared with MM subjects with COPD. Methods: Genotypes of SERPINA1 were ascertained by using whole-genome sequencing data in three independent studies. We compared outcomes between MM subjects with COPD and MZ subjects with COPD in each study and combined the results in a meta-analysis. We performed longitudinal and survival analyses to compare outcomes in MM and MZ subjects with COPD over time. Measurements and Main Results: We included 290 MZ subjects with COPD and 6,184 MM subjects with COPD across the three studies. MZ subjects had a lower FEV1% predicted and greater quantitative emphysema on chest computed tomography scans compared with MM subjects. In a meta-analysis, the FEV1 was 3.9% lower (95% confidence interval [CI], -6.55% to -1.26%) and emphysema (the percentage of lung attenuation areas <-950 HU) was 4.14% greater (95% CI, 1.44% to 6.84%) in MZ subjects. We found one gene, PGF (placental growth factor), to be differentially expressed in lung tissue from one study between MZ subjects and MM subjects. Conclusions: Carriers of the AAT Z allele (those who were MZ heterozygous) with COPD had lower lung function and more emphysema than MM subjects with COPD. Taken with the subtle differences in gene expression between the two groups, our findings suggest that MZ subjects represent an endotype of COPD.
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Affiliation(s)
- Auyon J. Ghosh
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Brian D. Hobbs
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Matthew Moll
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | - Adel Boueiz
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Jeong H. Yun
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Frank Sciurba
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Andrew H. Limper
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Kevin Flaherty
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan
| | - Gerard Criner
- Department of Thoracic Medicine and Surgery, Temple University, Philadelphia, Pennsylvania
| | - Kevin K. Brown
- Department of Medicine, National Jewish Health, Denver, Colorado
| | - Robert Wise
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Fernando J. Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York; and
| | - David Lomas
- University College London Respiratory Division of Medicine, University College London, London, United Kingdom
| | - Peter J. Castaldi
- Channing Division of Network Medicine and
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Vincent J. Carey
- Channing Division of Network Medicine and
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Dawn L. DeMeo
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Michael H. Cho
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Edwin K. Silverman
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | - Craig P. Hersh
- Channing Division of Network Medicine and
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
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8
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Zhu Z, Li J, Si J, Ma B, Shi H, Lv J, Cao W, Guo Y, Millwood IY, Walters RG, Lin K, Yang L, Chen Y, Du H, Yu B, Hasegawa K, Camargo CA, Moffatt MF, Cookson WOC, Chen J, Chen Z, Li L, Yu C, Liang L. A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity. Eur Respir J 2021; 58:2100199. [PMID: 33766948 PMCID: PMC8513692 DOI: 10.1183/13993003.00199-2021] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 03/02/2021] [Indexed: 01/25/2023]
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 (FEV1), forced vital capacity (FVC) and FEV1/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 FEV1, six for FVC and three for FEV1/FVC in the CKB. FEV1 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 FEV1 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.
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Affiliation(s)
- Zhaozhong Zhu
- 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
- These four authors contributed equally to this article
| | - Jiachen Li
- Dept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- These four authors contributed equally to this article
| | - Jiahui Si
- Program in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Dept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- These four authors contributed equally to this article
| | - Baoshan Ma
- College of Information Science and Technology, Dalian Maritime University, Dalian, China
- These four authors contributed equally to this article
| | - Huwenbo Shi
- Program in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jun Lv
- Dept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
| | - Weihua Cao
- Dept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Robin G Walters
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Kuang Lin
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Bo Yu
- NCDs Prevention and Control Dept, Nangang CDC, Harbin, China
| | - Kohei Hasegawa
- Dept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Carlos A Camargo
- 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
| | - Miriam F Moffatt
- Section of Genomic Medicine, National Heart and Lung Institute, Imperial College London, London, UK
| | - William O C Cookson
- Section of Genomic Medicine, National Heart and Lung Institute, Imperial College London, London, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Dept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Canqing Yu
- Dept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- These two authors contributed equally to this article as lead authors and supervised the work
| | - Liming Liang
- Program in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Dept of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- These two authors contributed equally to this article as lead authors and supervised the work
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9
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Liu P, Zhang H, Zeng H, Meng Y, Gao H, Zhang M, Zhao L. LncRNA CASC2 is involved in the development of chronic obstructive pulmonary disease via targeting miR-18a-5p/IGF1 axis. Ther Adv Respir Dis 2021; 15:17534666211028072. [PMID: 34266334 PMCID: PMC8290508 DOI: 10.1177/17534666211028072] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
AIMS Chronic obstructive pulmonary disease (COPD) is a systemic disease. Several long non-coding RNAs (lncRNAs) have been identified to be aberrantly expressed in COPD patients. This study investigated the role of lncRNA cancer susceptibility candidate 2 (CASC2) in COPD, as well as its potential mechanism. METHODS Fifty smokers with COPD and another 50 smokers without COPD were recruited. Receiver operating characteristic curve was constructed to assess the diagnostic value of CASC2 in COPD patients. 16HBE cells were treated with cigarette smoke extract (CSE) to establish a cell model. qRT-PCR was used for the measurement of mRNA levels. The cell viability and apoptosis were detected by using Cell Counting Kit-8 and flow cytometry assay. Enzyme-linked immunosorbent assay was performed to detect the levels of proinflammatory cytokines. Luciferase reporter assay was performed for the target gene analysis. RESULTS Serum CASC2 was dramatically decreased in COPD patients compared with smokers without COPD, and was positively associated with FEV1 (forced expiratory volume in one second). Serum CASC2 was overexpressed in severe COPD patients, and had the diagnostic accuracy to distinguish COPD patients from smokers. CASC2 overexpression alleviated CSE-induced apoptosis and inflammation in 16HBE cells. CASC2 functions as a ceRNA of miR-18a-5p. Upregulation of miR-18a-5p reversed the influence of CASC2 on cell apoptosis and inflammation in 16HBE cells. IGF1 was the target gene of miR-18a-5p. CONCLUSION CASC2 was downregulated in COPD patients and it might be a promising biomarker for the disease diagnosis. Overexpression of CASC2 might inhibit the bronchial epithelial cell apoptosis and inflammation via targeting miR-18a-5p/IGF1 axis.The reviews of this paper are available via the supplemental material section.
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Affiliation(s)
- Panpan Liu
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, PR China
| | - Huali Zhang
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, PR China
| | - Haizhu Zeng
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, PR China
| | - Yingxia Meng
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, PR China
| | - Hongchang Gao
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, PR China
| | - Meilan Zhang
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, PR China
| | - Lei Zhao
- Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, 219 Miao-Pu Road, Shanghai 200315, PR China
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10
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Moll M, Jackson VE, Yu B, Grove ML, London SJ, Gharib SA, Bartz TM, Sitlani CM, Dupuis J, O'Connor GT, Xu H, Cassano PA, Patchen BK, Kim WJ, Park J, Kim KH, Han B, Barr RG, Manichaikul A, Nguyen JN, Rich SS, Lahousse L, Terzikhan N, Brusselle G, Sakornsakolpat P, Liu J, Benway CJ, Hall IP, Tobin MD, Wain LV, Silverman EK, Cho MH, Hobbs BD. A systematic analysis of protein-altering exonic variants in chronic obstructive pulmonary disease. Am J Physiol Lung Cell Mol Physiol 2021; 321:L130-L143. [PMID: 33909500 PMCID: PMC8321852 DOI: 10.1152/ajplung.00009.2021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/15/2021] [Accepted: 04/27/2021] [Indexed: 12/14/2022] Open
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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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Victoria E Jackson
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
| | - Bing Yu
- School of Public Health, University of Texas Health Science Center, Houston, Texas
| | - Megan L Grove
- School of Public Health, University of Texas Health Science Center, Houston, Texas
| | - Stephanie J London
- 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
| | - Sina A Gharib
- Center for Lung Biology, Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Washington, Seattle, Washington
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, Washington
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - George T O'Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Pulmonary Center, Boston University School of Medicine, Boston Medical Center, Boston, Massachusetts
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Patricia A Cassano
- Division of Nutritional Sciences, Cornell University, Ithaca, New York
- Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | | | - Woo Jin Kim
- Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea
| | - Jinkyeong Park
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang-Si, Gyeonggi-do, South Korea
| | - Kun Hee Kim
- Department of Convergence Medicine and Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Buhm Han
- Department of Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, New York
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jennifer N Nguyen
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Lies Lahousse
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Bioanalysis, Ghent University, Ghent, Belgium
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Phuwanat Sakornsakolpat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Jiangyuan Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Christopher J Benway
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ian P Hall
- NIHR Nottingham Biomedical Research Centre, Queen's Medical Centre, Nottingham, United Kingdom
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, United Kingdom
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Brian D Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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11
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Fawcett KA, Song K, Qian G, Farmaki AE, Packer R, John C, Shrine N, Granell R, Ring S, Timpson NJ, Yerges-Armstrong LM, Eastell R, Wain LV, Scott RA, Tobin MD, Hall IP. Pleiotropic associations of heterozygosity for the SERPINA1 Z allele in the UK Biobank. ERJ Open Res 2021; 7:00049-2021. [PMID: 33981765 PMCID: PMC8107350 DOI: 10.1183/23120541.00049-2021] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 02/20/2021] [Indexed: 11/20/2022] Open
Abstract
Homozygosity for the SERPINA1 Z allele causes α1-antitrypsin deficiency, a rare condition that can cause lung and liver disease. However, the effects of Z allele heterozygosity on nonrespiratory phenotypes, and on lung function in the general population, remain unclear. We conducted a large, population-based study to determine Z allele effects on >2400 phenotypes in the UK Biobank (N=303 353). Z allele heterozygosity was strongly associated with increased height (β=1.02 cm, p=3.91×10-68), and with other nonrespiratory phenotypes including increased risk of gall bladder disease, reduced risk of heart disease and lower blood pressure, reduced risk of osteoarthritis and reduced bone mineral density, increased risk of headache and enlarged prostate, as well as with blood biomarkers of liver function. Heterozygosity was associated with higher height-adjusted forced expiratory volume in 1 s (FEV1) (β=19.36 mL, p=9.21×10-4) and FEV1/forced vital capacity (β=0.0031, p=1.22×10-5) in nonsmokers, whereas in smokers, this protective effect was abolished. Furthermore, we show for the first time that sex modifies the association of the Z allele on lung function. We conclude that Z allele heterozygosity and homozygosity exhibit opposing effects on lung function in the UK population, and that these associations are modified by smoking and sex. In exploratory analyses, heterozygosity for the Z allele also showed pleiotropic associations with nonrespiratory health-related traits and disease risk.
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Affiliation(s)
| | - Kijoung Song
- Human Genetics, GlaxoSmithKline, Collegeville, PA, USA
| | - Guoqing Qian
- Dept of General Internal Medicine, Ningbo First Hospital, Ningbo City, Zhejiang Province, China
- Division of Respiratory Medicine, University of Nottingham, and NIHR Nottingham BRC, NUH NHS Trust, Nottingham, UK
| | - Aliki-Eleni Farmaki
- MRC Unit for Lifelong Health and Ageing, Institute of Cardiovascular Science, University College London, London, UK
| | - Richard Packer
- Dept of Health Sciences, University of Leicester, Leicester, UK
| | - Catherine John
- Dept of Health Sciences, University of Leicester, Leicester, UK
| | - Nick Shrine
- Dept of Health Sciences, University of Leicester, Leicester, UK
| | - Raquel Granell
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Sue Ring
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Nicholas J. Timpson
- Medical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Richard Eastell
- Dept of Oncology and Metabolism, University of Sheffield, Sheffield, UK
| | - Louise V. Wain
- Dept of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Robert A. Scott
- Human Genetics – R&D, GSK Medicines Research Centre, Stevenage, UK
| | - Martin D. Tobin
- Dept of Health Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- These authors contributed equally
| | - Ian P. Hall
- Division of Respiratory Medicine, University of Nottingham, and NIHR Nottingham BRC, NUH NHS Trust, Nottingham, UK
- These authors contributed equally
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12
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Gillenwater LA, Pratte KA, Hobbs BD, Cho MH, Zhuang Y, Halper-Stromberg E, Cruickshank-Quinn C, Reisdorph N, Petrache I, Labaki WW, O'Neal WK, Ortega VE, Jones DP, Uppal K, Jacobson S, Michelotti G, Wendt CH, Kechris KJ, Bowler RP. Plasma Metabolomic Signatures of Chronic Obstructive Pulmonary Disease and the Impact of Genetic Variants on Phenotype-Driven Modules. NETWORK AND SYSTEMS MEDICINE 2020; 3:159-181. [PMID: 33987620 PMCID: PMC8109053 DOI: 10.1089/nsm.2020.0009] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/05/2020] [Indexed: 02/07/2023] Open
Abstract
Background: Small studies have recently suggested that there are specific plasma metabolic signatures in chronic obstructive pulmonary disease (COPD), but there have been no large comprehensive study of metabolomic signatures in COPD that also integrate genetic variants. Materials and Methods: Fresh frozen plasma from 957 non-Hispanic white subjects in COPDGene was used to quantify 995 metabolites with Metabolon's global metabolomics platform. Metabolite associations with five COPD phenotypes (chronic bronchitis, exacerbation frequency, percent emphysema, post-bronchodilator forced expiratory volume at one second [FEV1]/forced vital capacity [FVC], and FEV1 percent predicted) were assessed. A metabolome-wide association study was performed to find genetic associations with metabolite levels. Significantly associated single-nucleotide polymorphisms were tested for replication with independent metabolomic platforms and independent cohorts. COPD phenotype-driven modules were identified in network analysis integrated with genetic associations to assess gene-metabolite-phenotype interactions. Results: Of metabolites tested, 147 (14.8%) were significantly associated with at least 1 COPD phenotype. Associations with airflow obstruction were enriched for diacylglycerols and branched chain amino acids. Genetic associations were observed with 109 (11%) metabolites, 72 (66%) of which replicated in an independent cohort. For 20 metabolites, more than 20% of variance was explained by genetics. A sparse network of COPD phenotype-driven modules was identified, often containing metabolites missed in previous testing. Of the 26 COPD phenotype-driven modules, 6 contained metabolites with significant met-QTLs, although little module variance was explained by genetics. Conclusion: A dysregulation of systemic metabolism was predominantly found in COPD phenotypes characterized by airflow obstruction, where we identified robust heritable effects on individual metabolite abundances. However, network analysis, which increased the statistical power to detect associations missed previously in classic regression analyses, revealed that the genetic influence on COPD phenotype-driven metabolomic modules was modest when compared with clinical and environmental factors.
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Affiliation(s)
| | | | - Brian D. Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Yonghua Zhuang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | | | | | - Nichole Reisdorph
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Irina Petrache
- National Jewish Health, Denver, Colorado, USA
- School of Medicine, University of Colorado, Aurora, Colorado, USA
| | - Wassim W. Labaki
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Wanda K. O'Neal
- Lung Institute/Cystic Fibrosis Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Victor E. Ortega
- Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, Emory School of Medicine, Atlanta, Georgia, USA
| | - Karan Uppal
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, and Critical Care Medicine, Emory School of Medicine, Atlanta, Georgia, USA
| | | | | | - Christine H. Wendt
- Department of Medicine, University of Minnesota and the VAMC, Minneapolis, Minnesota, USA
| | - Katerina J. Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Russell P. Bowler
- National Jewish Health, Denver, Colorado, USA
- School of Medicine, University of Colorado, Aurora, Colorado, USA
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13
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Genetic regulation of gene expression of MIF family members in lung tissue. Sci Rep 2020; 10:16980. [PMID: 33046825 PMCID: PMC7552402 DOI: 10.1038/s41598-020-74121-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 09/08/2020] [Indexed: 12/18/2022] Open
Abstract
Macrophage migration inhibitory factor (MIF) is a cytokine found to be associated with chronic obstructive pulmonary disease (COPD). However, there is no consensus on how MIF levels differ in COPD compared to control conditions and there are no reports on MIF expression in lung tissue. Here we studied gene expression of members of the MIF family MIF, D-Dopachrome Tautomerase (DDT) and DDT-like (DDTL) in a lung tissue dataset with 1087 subjects and identified single nucleotide polymorphisms (SNPs) regulating their gene expression. We found higher MIF and DDT expression in COPD patients compared to non-COPD subjects and found 71 SNPs significantly influencing gene expression of MIF and DDTL. Furthermore, the platform used to measure MIF (microarray or RNAseq) was found to influence the splice variants detected and subsequently the direction of the SNP effects on MIF expression. Among the SNPs found to regulate MIF expression, the major LD block identified was linked to rs5844572, a SNP previously found to be associated with lower diffusion capacity in COPD. This suggests that MIF may be contributing to the pathogenesis of COPD, as SNPs that influence MIF expression are also associated with symptoms of COPD. Our study shows that MIF levels are affected not only by disease but also by genetic diversity (i.e. SNPs). Since none of our significant eSNPs for MIF or DDTL have been described in GWAS for COPD or lung function, MIF expression in COPD patients is more likely a consequence of disease-related factors rather than a cause of the disease.
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Genetic analyses identify GSDMB associated with asthma severity, exacerbations, and antiviral pathways. J Allergy Clin Immunol 2020; 147:894-909. [PMID: 32795586 DOI: 10.1016/j.jaci.2020.07.030] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 07/16/2020] [Accepted: 07/24/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND The Chr17q12-21.2 region is the strongest and most consistently associated region with asthma susceptibility. The functional genes or single nucleotide polymorphisms (SNPs) are not obvious due to linkage disequilibrium. OBJECTIVES We sought to comprehensively investigate whole-genome sequence and RNA sequence from human bronchial epithelial cells to dissect functional genes/SNPs for asthma severity in the Severe Asthma Research Program. METHODS Expression quantitative trait loci analysis (n = 114), correlation analysis (n = 156) of gene expression and asthma phenotypes, and pathway analysis were performed in bronchial epithelial cells and replicated. Genetic association for asthma severity (426 severe vs 531 nonsevere asthma) and longitudinal asthma exacerbations (n = 273) was performed. RESULTS Multiple SNPs in gasdermin B (GSDMB) associated with asthma severity (odds ratio, >1.25) and longitudinal asthma exacerbations (P < .05). Expression quantitative trait loci analyses identified multiple SNPs associated with expression levels of post-GPI attachment to proteins 3, GSDMB, or gasdermin A (3.1 × 10-9 <P < 1.8 × 10-4). Higher expression levels of GSDMB correlated with asthma and greater number of exacerbations (P < .05). Expression levels of GSDMB correlated with genes involved in IFN signaling, MHC class I antigen presentation, and immune system pathways (false-discovery rate-adjusted P < .05). rs1031458 and rs3902920 in GSDMB colocalized with IFN regulatory factor binding sites and associated with GSDMB expression, asthma severity, and asthma exacerbations (P < .05). CONCLUSIONS By using a unique set of gene expression data from lung cells obtained using bronchoscopy from comprehensively characterized subjects with asthma, we show that SNPs in GSDMB associated with asthma severity, exacerbations, and GSDMB expression levels. Furthermore, its expression levels correlated with asthma exacerbations and antiviral pathways. Thus, GSDMB is a functional gene for both asthma susceptibility and severity.
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Moore CM, Jacobson SA, Fingerlin TE. Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification. Hum Hered 2020; 84:256-271. [PMID: 32721961 DOI: 10.1159/000508558] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 05/11/2020] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION When analyzing data from large-scale genetic association studies, such as targeted or genome-wide resequencing studies, it is common to assume a single genetic model, such as dominant or additive, for all tests of association between a given genetic variant and the phenotype. However, for many variants, the chosen model will result in poor model fit and may lack statistical power due to model misspecification. OBJECTIVE We develop power and sample size calculations for tests of gene and gene × environment interaction, allowing for misspecification of the true mode of genetic susceptibility. METHODS The power calculations are based on a likelihood ratio test framework and are implemented in an open-source R package ("genpwr"). RESULTS We use these methods to develop an analysis plan for a resequencing study in idiopathic pulmonary fibrosis and show that using a 2-degree of freedom test can increase power to detect recessive genetic effects while maintaining power to detect dominant and additive effects. CONCLUSIONS Understanding the impact of model misspecification can aid in study design and developing analysis plans that maximize power to detect a range of true underlying genetic effects. In particular, these calculations help identify when a multiple degree of freedom test or other robust test of association may be advantageous.
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Affiliation(s)
- Camille M Moore
- Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado, USA,
| | - Sean A Jacobson
- Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado, USA
| | - Tasha E Fingerlin
- Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado, USA
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Moll M, Sakornsakolpat P, Shrine N, Hobbs BD, DeMeo DL, John C, Guyatt AL, McGeachie MJ, Gharib SA, Obeidat M, Lahousse L, Wijnant SRA, Brusselle G, Meyers DA, Bleecker ER, Li X, Tal-Singer R, Manichaikul A, Rich SS, Won S, Kim WJ, Do AR, Washko GR, Barr RG, Psaty BM, Bartz TM, Hansel NN, Barnes K, Hokanson JE, Crapo JD, Lynch D, Bakke P, Gulsvik A, Hall IP, Wain L, Weiss ST, Silverman EK, Dudbridge F, Tobin MD, Cho MH. Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts. THE LANCET. RESPIRATORY MEDICINE 2020; 8:696-708. [PMID: 32649918 PMCID: PMC7429152 DOI: 10.1016/s2213-2600(20)30101-6] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 01/24/2020] [Accepted: 02/17/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes. METHODS We constructed a polygenic risk score using a genome-wide association study of lung function (FEV1 and FEV1/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV1/FVC <0·7 and FEV1 <80% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth. FINDINGS The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1·81 [95% CI 1·74-1·88] and non-European (1·42 [1·34-1·51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7·99 (6·56-9·72) in European ancestry and 4·83 (3·45-6·77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0·80 [0·79-0·81] vs 0·76 [0·75-0·76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The polygenic risk score was associated with a reduced lung growth pattern. INTERPRETATION A risk score comprised of genetic variants can identify a small subset of individuals at markedly increased risk for moderate-to-severe COPD, emphysema subtypes associated with cigarette smoking, and patterns of reduced lung growth. FUNDING US National Institutes of Health, Wellcome Trust.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Brian D Hobbs
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Catherine John
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Anna L Guyatt
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Michael J McGeachie
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, Department of Medicine, University of Washington, Seattle, WA, USA; Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ma'en Obeidat
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; University of British Columbia Center for Heart Lung Innovation, St Paul's Hospital, Vancouver, BC, Canada
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Sara R A Wijnant
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Guy Brusselle
- Department of Epidemiology, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Respiratory Medicine, Erasmus Medical Centre, Rotterdam, Netherlands; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | | | | | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ, USA
| | - Ruth Tal-Singer
- GlaxoSmithKline Research and Development, Collegeville, PA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Sungho Won
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea; Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, South Korea; Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Woo Jin Kim
- Department of Internal Medicine, Kangwon National University, Chuncheon, South Korea
| | - Ah Ra Do
- Interdisciplinary Program of Bioinformatics, College of National Sciences, Seoul National University, Seoul, South Korea
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - R Graham Barr
- Department of Medicine and Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nadia N Hansel
- School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Kathleen Barnes
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - James D Crapo
- Division of Pulmonary, Critical Care, and Sleep Medicine, National Jewish Health, Denver, CO, USA
| | - David Lynch
- Department of Radiology, National Jewish Health, Denver, CO, USA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amund Gulsvik
- Division of Respiratory Medicine, Queen's Medical Centre, Nottingham, UK
| | - Ian P Hall
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Louise Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK; National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Frank Dudbridge
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK; National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Ortega VE, Li X, O’Neal WK, Lackey L, Ampleford E, Hawkins GA, Grayeski PJ, Laederach A, Barjaktarevic I, Barr RG, Cooper C, Couper D, Han MK, Kanner RE, Kleerup EC, Martinez FJ, Paine R, Peters SP, Pirozzi C, Rennard SI, Woodruff PG, Hoffman EA, Meyers DA, Bleecker ER. The Effects of Rare SERPINA1 Variants on Lung Function and Emphysema in SPIROMICS. Am J Respir Crit Care Med 2020; 201:540-554. [PMID: 31661293 PMCID: PMC7047460 DOI: 10.1164/rccm.201904-0769oc] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Accepted: 10/24/2019] [Indexed: 01/07/2023] Open
Abstract
Rationale: The role of PI (protease inhibitor) type Z heterozygotes and additional rare variant genotypes in the gene encoding alpha-1 antitrypsin, SERPINA1 (serpin peptidase inhibitor, clade A, member 1), in determining chronic obstructive pulmonary disease risk and severity is controversial.Objectives: To comprehensively evaluate the effects of rare SERPINA1 variants on lung function and emphysema phenotypes in subjects with significant tobacco smoke exposure using deep gene resequencing and alpha-1 antitrypsin concentrations.Methods: DNA samples from 1,693 non-Hispanic white individuals, 385 African Americans, and 90 Hispanics with ≥20 pack-years smoking were resequenced for the identification of rare variants (allele frequency < 0.05) in 16.9 kB of SERPINA1.Measurements and Main Results: White PI Z heterozygotes confirmed by sequencing (MZ; n = 74) had lower post-bronchodilator FEV1 (P = 0.007), FEV1/FVC (P = 0.003), and greater computed tomography-based emphysema (P = 0.02) compared with 1,411 white individuals without PI Z, S, or additional rare variants denoted as VR. PI Z-containing compound heterozygotes (ZS/ZVR; n = 7) had lower FEV1/FVC (P = 0.02) and forced expiratory flow, midexpiratory phase (P = 0.009). Nineteen white heterozygotes for five non-S/Z coding variants associated with lower alpha-1 antitrypsin had greater computed tomography-based emphysema compared with those without rare variants. In African Americans, a 5' untranslated region insertion (rs568223361) was associated with lower alpha-1 antitrypsin and functional small airway disease (P = 0.007).Conclusions: In this integrative deep sequencing study of SERPINA1 with alpha-1 antitrypsin concentrations in a heavy smoker and chronic obstructive pulmonary disease cohort, we confirmed the effects of PI Z heterozygote and compound heterozygote genotypes. We demonstrate the cumulative effects of multiple SERPINA1 variants on alpha-1 antitrypsin deficiency, lung function, and emphysema, thus significantly increasing the frequency of SERPINA1 variation associated with respiratory disease in at-risk smokers.
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Affiliation(s)
- Victor E. Ortega
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, Arizona
| | - Wanda K. O’Neal
- University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Lela Lackey
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Elizabeth Ampleford
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Gregory A. Hawkins
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Philip J. Grayeski
- University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - Alain Laederach
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Igor Barjaktarevic
- Department of Medicine, David Geffen School of Medicine, Los Angeles, California
| | - R. Graham Barr
- Columbia University Medical Center, New York City, New York
| | - Christopher Cooper
- Department of Medicine, David Geffen School of Medicine, Los Angeles, California
| | - David Couper
- University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina
| | - MeiLan K. Han
- Division of Pulmonary and Critical Care Medicine, Michigan Medicine, University of Michigan, Ann Arbor, Michigan
| | - Richard E. Kanner
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Eric C. Kleerup
- Department of Medicine, David Geffen School of Medicine, Los Angeles, California
| | - Fernando J. Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College of Cornell University, New York City, New York
| | - Robert Paine
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Stephen P. Peters
- Center for Precision Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Cheryl Pirozzi
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - Stephen I. Rennard
- Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, University of Nebraska, Omaha, Nebraska
- Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Cambridge, United Kingdom
| | - Prescott G. Woodruff
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Cardiovascular Research Institute, University of California, San Francisco, California; and
| | - Eric A. Hoffman
- Department of Radiology
- Department of Medicine, and
- Department of Biomedical Engineering, University of Iowa Carver College of Medicine, Iowa City, Iowa
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18
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Paci P, Fiscon G, Conte F, Licursi V, Morrow J, Hersh C, Cho M, Castaldi P, Glass K, Silverman EK, Farina L. Integrated transcriptomic correlation network analysis identifies COPD molecular determinants. Sci Rep 2020; 10:3361. [PMID: 32099002 PMCID: PMC7042269 DOI: 10.1038/s41598-020-60228-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/23/2020] [Indexed: 12/17/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous syndrome. Network-based analysis implemented by SWIM software can be exploited to identify key molecular switches - called "switch genes" - for the disease. Genes contributing to common biological processes or defining given cell types are usually co-regulated and co-expressed, forming expression network modules. Consistently, we found that the COPD correlation network built by SWIM consists of three well-characterized modules: one populated by switch genes, all up-regulated in COPD cases and related to the regulation of immune response, inflammatory response, and hypoxia (like TIMP1, HIF1A, SYK, LY96, BLNK and PRDX4); one populated by well-recognized immune signature genes, all up-regulated in COPD cases; one where the GWAS genes AGER and CAVIN1 are the most representative module genes, both down-regulated in COPD cases. Interestingly, 70% of AGER negative interactors are switch genes including PRDX4, whose activation strongly correlates with the activation of known COPD GWAS interactors SERPINE2, CD79A, and POUF2AF1. These results suggest that SWIM analysis can identify key network modules related to complex diseases like COPD.
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Affiliation(s)
- Paola Paci
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy.
| | - Giulia Fiscon
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy
| | - Federica Conte
- Institute for Systems Analysis and Computer Science "Antonio Ruberti", National Research Council, Rome, Italy
| | - Valerio Licursi
- Department of Biology and Biotechnology "Charles Darwin", Sapienza University of Rome, Rome, Italy
| | - Jarrett Morrow
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Craig Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Michael Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Peter Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kimberly Glass
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lorenzo Farina
- Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy
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19
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Abstract
Although chronic obstructive pulmonary disease (COPD) risk is strongly influenced by cigarette smoking, genetic factors are also important determinants of COPD. In addition to Mendelian syndromes such as alpha-1 antitrypsin deficiency, many genomic regions that influence COPD susceptibility have been identified in genome-wide association studies. Similarly, multiple genomic regions associated with COPD-related phenotypes, such as quantitative emphysema measures, have been found. Identifying the functional variants and key genes within these association regions remains a major challenge. However, newly identified COPD susceptibility genes are already providing novel insights into COPD pathogenesis. Network-based approaches that leverage these genetic discoveries have the potential to assist in decoding the complex genetic architecture of COPD.
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Affiliation(s)
- Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA;
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20
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Ranjan A, Singh A, Walia GK, Sachdeva MP, Gupta V. Genetic underpinnings of lung function and COPD. J Genet 2019; 98:76. [PMID: 31544798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Spirometry based measurement of lung function is a global initiative for chronic obstructive lung disease (GOLD) standard to diagnose chronic obstructive pulmonary disease (COPD), one of the leading causes of mortality worldwide. The environmental and behavioural risk factors for COPD includes tobacco smoking, air pollutants and biomass fuel exposure, which can induce one or more abnormal lung function patterns. While smoking remains the primary risk factor, only 15-20% smokers develop COPD, indicating that the genetic factors are also likely to play a role. According to the study of Global Burden of Disease 2015, ∼174 million people across the world have COPD. From a comprehensive literature search conducted using the 'PubMed' and 'GWAS Catalogue' databases, and reviewing the literature available, only a limited number of studies were identified which had attempted to investigate the genetics of COPD and lung volumes, implying a huge research gap. With the advent of genomewide association studies several genetic variants linked to lung function and COPD, like HHIP, HTR4, ADAM19 and GSTCD etc., have been found and validated in different population groups, suggesting their potential role in determining lung volume and risk for COPD. This article aims at reviewing the present knowledge of the genetics of lung function and COPD.
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Affiliation(s)
- Astha Ranjan
- Department of Anthropology, University of Delhi, Delhi 110 007, India.
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Henry AP, Probert K, Stewart CE, Thakker D, Bhaker S, Azimi S, Hall IP, Sayers I. Defining a role for lung function associated gene GSTCD in cell homeostasis. Respir Res 2019; 20:172. [PMID: 31370853 PMCID: PMC6676530 DOI: 10.1186/s12931-019-1146-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 07/25/2019] [Indexed: 12/11/2022] Open
Abstract
Genome wide association (GWA) studies have reproducibly identified signals on chromosome 4q24 associated with lung function and COPD. GSTCD (Glutathione S-transferase C-terminal domain containing) represents a candidate causal gene in this locus, however little is currently known about the function of this protein. We set out to further our understanding of the role of GSTCD in cell functions and homeostasis using multiple molecular and cellular approaches in airway relevant cells. Recombinant expression of human GSTCD in conjunction with a GST activity assay did not identify any enzymatic activity for two GSTCD isoforms questioning the assignment of this protein to this family of enzymes. Protein structure analyses identified a potential methyltransferase domain contained within GSTCD, with these enzymes linked to cell viability and apoptosis. Targeted knockdown (siRNA) of GSTCD in bronchial epithelial cells identified a role for GSTCD in cell viability as proliferation rates were not altered. To provide greater insight we completed transcriptomic analyses on cells with GSTCD expression knocked down and identified several differentially expressed genes including those implicated in airway biology; fibrosis e.g. TGFBR1 and inflammation e.g. IL6R. Pathway based transcriptomic analyses identified an over-representation of genes related to adipogenesis which may suggest additional functions for GSTCD. These findings identify potential additional functions for GSTCD in the context of airway biology beyond the hypothesised GST activity and warrant further investigation.
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Affiliation(s)
- Amanda P Henry
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK.
| | - Kelly Probert
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Ceri E Stewart
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Dhruma Thakker
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Sangita Bhaker
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Sheyda Azimi
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Ian P Hall
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Ian Sayers
- Division of Respiratory Medicine, National Institute for Health Research, Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
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22
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Ranjan A, Singh A, Walia GK, Sachdeva MP, Gupta V. Genetic underpinnings of lung function and COPD. J Genet 2019. [DOI: 10.1007/s12041-019-1119-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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23
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Parker MM, Hao Y, Guo F, Pham B, Chase R, Platig J, Cho MH, Hersh CP, Thannickal VJ, Crapo J, Washko G, Randell SH, Silverman EK, San José Estépar R, Zhou X, Castaldi PJ. Identification of an emphysema-associated genetic variant near TGFB2 with regulatory effects in lung fibroblasts. eLife 2019; 8:e42720. [PMID: 31343404 PMCID: PMC6693893 DOI: 10.7554/elife.42720] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 07/25/2019] [Indexed: 02/06/2023] Open
Abstract
Murine studies have linked TGF-β signaling to emphysema, and human genome-wide association studies (GWAS) studies of lung function and COPD have identified associated regions near genes in the TGF-β superfamily. However, the functional regulatory mechanisms at these loci have not been identified. We performed the largest GWAS of emphysema patterns to date, identifying 10 GWAS loci including an association peak spanning a 200 kb region downstream from TGFB2. Integrative analysis of publicly available eQTL, DNaseI, and chromatin conformation data identified a putative functional variant, rs1690789, that may regulate TGFB2 expression in human fibroblasts. Using chromatin conformation capture, we confirmed that the region containing rs1690789 contacts the TGFB2 promoter in fibroblasts, and CRISPR/Cas-9 targeted deletion of a ~ 100 bp region containing rs1690789 resulted in decreased TGFB2 expression in primary human lung fibroblasts. These data provide novel mechanistic evidence linking genetic variation affecting the TGF-β pathway to emphysema in humans.
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Affiliation(s)
- Margaret M Parker
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - Yuan Hao
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - Feng Guo
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - Betty Pham
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - Robert Chase
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - John Platig
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - Michael H Cho
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
- Division of Pulmonary and Critical Care MedicineBrigham and Women’s HospitalBostonUnited States
| | - Craig P Hersh
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
- Division of Pulmonary and Critical Care MedicineBrigham and Women’s HospitalBostonUnited States
| | - Victor J Thannickal
- Division of Pulmonary, Allergy and Critical Care, Department of MedicineSchool of Medicine, University of Alabama at BirminghamBirminghamUnited States
| | - James Crapo
- Division of Pulmonary, Critical Care and Sleep MedicineNational Jewish HealthDenverUnited States
| | - George Washko
- Division of Pulmonary and Critical Care MedicineBrigham and Women’s HospitalBostonUnited States
| | - Scott H Randell
- Marsico Lung InstituteThe University of North Carolina at Chapel HillChapel HillUnited States
| | - Edwin K Silverman
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
- Division of Pulmonary and Critical Care MedicineBrigham and Women’s HospitalBostonUnited States
| | | | - Xiaobo Zhou
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
| | - Peter J Castaldi
- Channing Division of Network MedicineBrigham and Women’s HospitalBostonUnited States
- Division of General Internal Medicine and Primary CareBrigham and Women’s HospitalBostonUnited States
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24
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Huang X, Mu X, Deng L, Fu A, Pu E, Tang T, Kong X. The etiologic origins for chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2019; 14:1139-1158. [PMID: 31213794 PMCID: PMC6549659 DOI: 10.2147/copd.s203215] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 04/18/2019] [Indexed: 12/27/2022] Open
Abstract
COPD, characterized by long-term poorly irreversible airway limitation and persistent respiratory symptoms, has resulted in enormous challenges to human health worldwide, with increasing rates of prevalence, death, and disability. Although its origin was thought to be in the interactions of genetic with environmental factors, the effects of environmental factors on the disease during different life stages remain little known. Without clear mechanisms and radical cure for it, early screening and prevention of COPD seem to be important. In this review, we will discuss the etiologic origins for poor lung function and COPD caused by specific adverse effects during corresponding life stages, as well as try to find new insights and potential prevention strategies for this disease.
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Affiliation(s)
- Xinwei Huang
- Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China.,Medical School, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
| | - Xi Mu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
| | - Li Deng
- The Pathology Department, First People's Hospital of Yunnan Province, Kunming City, Yunnan Province, People's Republic of China
| | - Aili Fu
- Department of Oncology, Yunfeng Hospital, Xuanwei City, Yunnan Province, People's Republic of China
| | - Endong Pu
- Department of Thoracic Surgery, Yunfeng Hospital, Xuanwei City, Yunnan Province, People's Republic of China
| | - Tao Tang
- Medical School, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
| | - Xiangyang Kong
- Medical School, Kunming University of Science and Technology, Kunming City, Yunnan Province, People's Republic of China
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25
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Wadhwa R, Aggarwal T, Malyla V, Kumar N, Gupta G, Chellappan DK, Dureja H, Mehta M, Satija S, Gulati M, Maurya PK, Collet T, Hansbro PM, Dua K. Identification of biomarkers and genetic approaches toward chronic obstructive pulmonary disease. J Cell Physiol 2019; 234:16703-16723. [DOI: 10.1002/jcp.28482] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 02/10/2019] [Accepted: 02/14/2019] [Indexed: 12/26/2022]
Affiliation(s)
- Ridhima Wadhwa
- Faculty of Life Sciences and Biotechnology South Asian University New Delhi India
| | - Taru Aggarwal
- Amity Institute of Biotechnology Amity University Noida Uttar Pradesh India
| | - Vamshikrishna Malyla
- Discipline of Pharmacy, Graduate School of Health University of Technology Sydney New South Wales Australia
- Centre for Inflammation Centenary Institute Sydney New South Wales Australia
| | - Nitesh Kumar
- Amity Institute for Advanced Research & Studies (M&D) Amity University Noida Uttar Pradesh India
| | - Gaurav Gupta
- School of Pharmaceutical Sciences Jaipur National University, Jagatpura Jaipur Rajasthan India
| | - Dinesh Kumar Chellappan
- Department of Life Sciences, School of Pharmacy International Medical University Bukit Jalil Kuala Lumpur Malaysia
| | - Harish Dureja
- Department of Pharmaceutical Sciences Maharishi Dayanand University Rohtak Haryana India
| | - Meenu Mehta
- School of Pharmaceutical Sciences Lovely Professional University Phagwara Punjab India
| | - Saurabh Satija
- School of Pharmaceutical Sciences Lovely Professional University Phagwara Punjab India
| | - Monica Gulati
- School of Pharmaceutical Sciences Lovely Professional University Phagwara Punjab India
| | - Pawan Kumar Maurya
- Department of Biochemistry Central University of Haryana Mahendergarh Haryana India
| | - Trudi Collet
- Innovative Medicines Group, Institute of Health & Biomedical Innovation Queensland University of Technology Brisbane Queensland Australia
| | - Philip Michael Hansbro
- Priority Research Centre for Healthy Lungs University of Newcastle & Hunter Medical Research Institute Newcastle New South Wales Australia
- Centre for Inflammation Centenary Institute Sydney New South Wales Australia
- School of Life Sciences University of Technology Sydney Sydney New South Wales Australia
| | - Kamal Dua
- Discipline of Pharmacy, Graduate School of Health University of Technology Sydney New South Wales Australia
- Priority Research Centre for Healthy Lungs University of Newcastle & Hunter Medical Research Institute Newcastle New South Wales Australia
- Centre for Inflammation Centenary Institute Sydney New South Wales Australia
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