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Castaldi PJ, Sauler M. Molecular Characterization of the Distal Lung: Novel Insights from Chronic Obstructive Pulmonary Disease Omics. Am J Respir Crit Care Med 2024; 210:147-154. [PMID: 38701385 DOI: 10.1164/rccm.202310-1972pp] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 05/02/2024] [Indexed: 05/05/2024] Open
Affiliation(s)
- Peter J Castaldi
- Channing Division of Network Medicine and
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts; and
| | - Maor Sauler
- Division of Pulmonary, Critical Care, and Sleep Medicine, School of Medicine, Yale University, New Haven, Connecticut
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2
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Saferali A, Kim W, Xu Z, Chase RP, Cho MH, Laederach A, Castaldi PJ, Hersh CP. Colocalization analysis of 3' UTR alternative polyadenylation quantitative trait loci reveals novel mechanisms underlying associations with lung function. Hum Mol Genet 2024; 33:1164-1175. [PMID: 38569558 DOI: 10.1093/hmg/ddae055] [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: 09/18/2023] [Revised: 02/02/2024] [Indexed: 04/05/2024] Open
Abstract
While many disease-associated single nucleotide polymorphisms (SNPs) are expression quantitative trait loci (eQTLs), a large proportion of genome-wide association study (GWAS) variants are of unknown function. Alternative polyadenylation (APA) plays an important role in posttranscriptional regulation by allowing genes to shorten or extend 3' untranslated regions (UTRs). We hypothesized that genetic variants that affect APA in lung tissue may lend insight into the function of respiratory associated GWAS loci. We generated alternative polyadenylation (apa) QTLs using RNA sequencing and whole genome sequencing on 1241 subjects from the Lung Tissue Research Consortium (LTRC) as part of the NHLBI TOPMed project. We identified 56 179 APA sites corresponding to 13 582 unique genes after filtering out APA sites with low usage. We found that a total of 8831 APA sites were associated with at least one SNP with q-value < 0.05. The genomic distribution of lead APA SNPs indicated that the majority are intronic variants (33%), followed by downstream gene variants (26%), 3' UTR variants (17%), and upstream gene variants (within 1 kb region upstream of transcriptional start site, 10%). APA sites in 193 genes colocalized with GWAS data for at least one phenotype. Genes containing the top APA sites associated with GWAS variants include membrane associated ring-CH-type finger 2 (MARCHF2), nectin cell adhesion molecule 2 (NECTIN2), and butyrophilin subfamily 3 member A2 (BTN3A2). Overall, these findings suggest that APA may be an important mechanism for genetic variants in lung function and chronic obstructive pulmonary disease (COPD).
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Affiliation(s)
- Aabida Saferali
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
| | - Wonji Kim
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
| | - Zhonghui Xu
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
| | - Robert P Chase
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115, United States
| | - Alain Laederach
- Department of Biology, University of North Carolina at Chapel Hill, 120 South Road, Chapel Hill, NC 27599, United States
| | - Peter J Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
- Division of General Medicine and Primary Care, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, United States
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, United States
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115, United States
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3
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Negasi ZH, Nommi N, Liu C, Tesfaigzi Y. Persistence of emphysema following cessation of cigarette smoke exposure requires a susceptibility factor. Am J Physiol Lung Cell Mol Physiol 2024; 326:L431-L439. [PMID: 38349118 DOI: 10.1152/ajplung.00342.2023] [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: 11/09/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 02/21/2024] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is caused by cigarette smoke (CS) exposure but can often be progressive even in former smokers. Exposure of mice to CS for 22 wk causes emphysema, but whether emphysema persists after cessation of CS exposure is not clear. The purpose of this study was to determine whether emphysema persists in mice following a recovery period of 22 wk and whether a susceptibility factor, such as deficiency in the Bcl-2-interacting killer (Bik), is required for this persistence. Therefore, bik+/+ and bik-/- mice at 6-10 wk of age were exposed to 250 mg/m3 total particulate matter of CS or filtered air (FA) for 3 or 22 wk and were kept in FA for an additional 22 wk. Lungs were lavaged to quantify inflammatory cells, and sections were stained with hematoxylin and eosin to assess severity of emphysema. Exposure to CS for 3 wk increased the number of inflammatory cells in bik-/- mice compared with bik+/+ mice but not at 22 wk of exposure. At 22 wk of CS exposure, extent of emphysema was similar in bik+/+ and bik-/- mice. However, when mice were exposed to CS over the first 22 wk and were kept in FA for an additional 22 wk, emphysema remained similar in bik+/+ mice but was enhanced in bik-/- mice. These findings link increased inflammation with persistent emphysematous changes even after smoking cessation and demonstrate that a preexisting susceptibility condition is required to sustain enhanced emphysema that was initiated by long-term CS exposure.NEW & NOTEWORTHY Exposure of mice to cigarette smoke (CS) for 22 wk causes emphysema, but whether emphysema persists after an additional period of 6 mo after cessation of CS exposure has not been reported. In addition, the role of preexisting susceptibility in enhancing the persistence of CS-induced emphysema after exposure to CS has stopped has not been shown. The present study shows that a preexisting susceptibility must be present to enhance CS-induced emphysema after cessation of CS exposure.
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Affiliation(s)
- Zerihun Hailemariam Negasi
- Pulmonary Critical Care Medicine Division, Brigham and Women's Hospital and Harvard Medical School, Harvard University, Boston, Massachusetts, United States
| | - Naomi Nommi
- Pulmonary Critical Care Medicine Division, Brigham and Women's Hospital and Harvard Medical School, Harvard University, Boston, Massachusetts, United States
| | - Congjian Liu
- Pulmonary Critical Care Medicine Division, Brigham and Women's Hospital and Harvard Medical School, Harvard University, Boston, Massachusetts, United States
| | - Yohannes Tesfaigzi
- Pulmonary Critical Care Medicine Division, Brigham and Women's Hospital and Harvard Medical School, Harvard University, Boston, Massachusetts, United States
- Chronic Obstructive Pulmonary Disease Program, Lovelace Respiratory Research Institute, Albuquerque, New Mexico, United States
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4
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Liu YB, Hong JR, Jiang N, Jin L, Zhong WJ, Zhang CY, Yang HH, Duan JX, Zhou Y. The Role of Mitochondrial Quality Control in Chronic Obstructive Pulmonary Disease. J Transl Med 2024; 104:100307. [PMID: 38104865 DOI: 10.1016/j.labinv.2023.100307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/22/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity, mortality, and health care use worldwide with heterogeneous pathogenesis. Mitochondria, the powerhouses of cells responsible for oxidative phosphorylation and energy production, play essential roles in intracellular material metabolism, natural immunity, and cell death regulation. Therefore, it is crucial to address the urgent need for fine-tuning the regulation of mitochondrial quality to combat COPD effectively. Mitochondrial quality control (MQC) mainly refers to the selective removal of damaged or aging mitochondria and the generation of new mitochondria, which involves mitochondrial biogenesis, mitochondrial dynamics, mitophagy, etc. Mounting evidence suggests that mitochondrial dysfunction is a crucial contributor to the development and progression of COPD. This article mainly reviews the effects of MQC on COPD as well as their specific regulatory mechanisms. Finally, the therapeutic approaches of COPD via MQC are also illustrated.
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Affiliation(s)
- Yu-Biao Liu
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Jie-Ru Hong
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Nan Jiang
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Ling Jin
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Wen-Jing Zhong
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Chen-Yu Zhang
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Hui-Hui Yang
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Jia-Xi Duan
- Department of Geriatrics, Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China; National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Yong Zhou
- Department of Physiology, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
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5
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Moll M, Silverman EK. Precision Approaches to Chronic Obstructive Pulmonary Disease Management. Annu Rev Med 2024; 75:247-262. [PMID: 37827193 DOI: 10.1146/annurev-med-060622-101239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. COPD heterogeneity has hampered progress in developing pharmacotherapies that affect disease progression. This issue can be addressed by precision medicine approaches, which focus on understanding an individual's disease risk, and tailoring management based on pathobiology, environmental exposures, and psychosocial issues. There is an urgent need to identify COPD patients at high risk for poor outcomes and to understand at a mechanistic level why certain individuals are at high risk. Genetics, omics, and network analytic techniques have started to dissect COPD heterogeneity and identify patients with specific pathobiology. Drug repurposing approaches based on biomarkers of specific inflammatory processes (i.e., type 2 inflammation) are promising. As larger data sets, additional omics, and new analytical approaches become available, there will be enormous opportunities to identify high-risk individuals and treat COPD patients based on their specific pathophysiological derangements. These approaches show great promise for risk stratification, early intervention, drug repurposing, and developing novel therapeutic approaches for COPD.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; ,
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary, Critical Care, Sleep and Allergy, Veterans Affairs Boston Healthcare System, West Roxbury, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; ,
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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6
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He Y, Qian DC, Diao JA, Cho MH, Silverman EK, Gusev A, Manrai AK, Martin AR, Patel CJ. Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors. Nat Commun 2023; 14:8297. [PMID: 38097585 PMCID: PMC10721891 DOI: 10.1038/s41467-023-44047-8] [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: 03/17/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Abstract
Smoking is the leading risk factor for chronic obstructive pulmonary disease (COPD) worldwide, yet many people who never smoke develop COPD. We perform a longitudinal analysis of COPD in the UK Biobank to derive and validate the Socioeconomic and Environmental Risk Score which captures additive and cumulative environmental, behavioral, and socioeconomic exposure risks beyond tobacco smoking. The Socioeconomic and Environmental Risk Score is more predictive of COPD than smoking status and pack-years. Individuals in the highest decile of the risk score have a greater risk for incident COPD compared to the remaining population. Never smokers in the highest decile of exposure risk are more likely to develop COPD than previous and current smokers in the lowest decile. In general, the prediction accuracy of the Social and Environmental Risk Score is lower in non-European populations. While smoking status is often considered in screening COPD, our finding highlights the importance of other non-smoking environmental and socioeconomic variables.
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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
| | - David C Qian
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, USA
| | - James A Diao
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Edwin K Silverman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- 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
| | - Alexander Gusev
- Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Arjun K Manrai
- Department of Biomedical Informatics, Harvard Medical School, 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.
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
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7
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Werder RB, Berthiaume KA, Merritt C, Gallagher M, Villacorta-Martin C, Wang F, Bawa P, Malik V, Lyons SM, Basil MC, Morrisey EE, Kotton DN, Zhou X, Cho MH, Wilson AA. The COPD GWAS gene ADGRG6 instructs function and injury response in human iPSC-derived type II alveolar epithelial cells. Am J Hum Genet 2023; 110:1735-1749. [PMID: 37734371 PMCID: PMC10577075 DOI: 10.1016/j.ajhg.2023.08.017] [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: 03/31/2023] [Revised: 08/31/2023] [Accepted: 08/31/2023] [Indexed: 09/23/2023] Open
Abstract
Emphysema and chronic obstructive pulmonary disease (COPD) most commonly result from the effects of environmental exposures in genetically susceptible individuals. Genome-wide association studies have implicated ADGRG6 in COPD and reduced lung function, and a limited number of studies have examined the role of ADGRG6 in cells representative of the airway. However, the ADGRG6 locus is also associated with DLCO/VA, an indicator of gas exchange efficiency and alveolar function. Here, we sought to evaluate the mechanistic contributions of ADGRG6 to homeostatic function and disease in type 2 alveolar epithelial cells. We applied an inducible CRISPR interference (CRISPRi) human induced pluripotent stem cell (iPSC) platform to explore ADGRG6 function in iPSC-derived AT2s (iAT2s). We demonstrate that ADGRG6 exerts pleiotropic effects on iAT2s including regulation of focal adhesions, cytoskeleton, tight junctions, and proliferation. Moreover, we find that ADGRG6 knockdown in cigarette smoke-exposed iAT2s alters cellular responses to injury, downregulating apical complexes in favor of proliferation. Our work functionally characterizes the COPD GWAS gene ADGRG6 in human alveolar epithelium.
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Affiliation(s)
- Rhiannon B Werder
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA; The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA; Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
| | - Kayleigh A Berthiaume
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA
| | - Carly Merritt
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA; The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Marissa Gallagher
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA
| | - Carlos Villacorta-Martin
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA
| | - Feiya Wang
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA
| | - Pushpinder Bawa
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA
| | - Vidhi Malik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Shawn M Lyons
- Biochemistry Department, Boston University School of Medicine, Boston, MA 02118, USA
| | - Maria C Basil
- School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Edward E Morrisey
- School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Darrell N Kotton
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA; The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Andrew A Wilson
- Center for Regenerative Medicine of Boston University and Boston Medical Center, Boston, MA 02118, USA; The Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA.
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8
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Ngo D, Pratte KA, Flexeder C, Petersen H, Dang H, Ma Y, Keyes MJ, Gao Y, Deng S, Peterson BD, Farrell LA, Bhambhani VM, Palacios C, Quadir J, Gillenwater L, Xu H, Emson C, Gieger C, Suhre K, Graumann J, Jain D, Conomos MP, Tracy RP, Guo X, Liu Y, Johnson WC, Cornell E, Durda P, Taylor KD, Papanicolaou GJ, Rich SS, Rotter JI, Rennard SI, Curtis JL, Woodruff PG, Comellas AP, Silverman EK, Crapo JD, Larson MG, Vasan RS, Wang TJ, Correa A, Sims M, Wilson JG, Gerszten RE, O’Connor GT, Barr RG, Couper D, Dupuis J, Manichaikul A, O’Neal WK, Tesfaigzi Y, Schulz H, Bowler RP. Systemic Markers of Lung Function and Forced Expiratory Volume in 1 Second Decline across Diverse Cohorts. Ann Am Thorac Soc 2023; 20:1124-1135. [PMID: 37351609 PMCID: PMC10405603 DOI: 10.1513/annalsats.202210-857oc] [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: 10/11/2022] [Accepted: 06/13/2023] [Indexed: 06/24/2023] Open
Abstract
Rationale: Chronic obstructive pulmonary disease (COPD) is a complex disease characterized by airway obstruction and accelerated lung function decline. Our understanding of systemic protein biomarkers associated with COPD remains incomplete. Objectives: To determine what proteins and pathways are associated with impaired pulmonary function in a diverse population. Methods: We studied 6,722 participants across six cohort studies with both aptamer-based proteomic and spirometry data (4,566 predominantly White participants in a discovery analysis and 2,156 African American cohort participants in a validation). In linear regression models, we examined protein associations with baseline forced expiratory volume in 1 second (FEV1) and FEV1/forced vital capacity (FVC). In linear mixed effects models, we investigated the associations of baseline protein levels with rate of FEV1 decline (ml/yr) in 2,777 participants with up to 7 years of follow-up spirometry. Results: We identified 254 proteins associated with FEV1 in our discovery analyses, with 80 proteins validated in the Jackson Heart Study. Novel validated protein associations include kallistatin serine protease inhibitor, growth differentiation factor 2, and tumor necrosis factor-like weak inducer of apoptosis (discovery β = 0.0561, Q = 4.05 × 10-10; β = 0.0421, Q = 1.12 × 10-3; and β = 0.0358, Q = 1.67 × 10-3, respectively). In longitudinal analyses within cohorts with follow-up spirometry, we identified 15 proteins associated with FEV1 decline (Q < 0.05), including elafin leukocyte elastase inhibitor and mucin-associated TFF2 (trefoil factor 2; β = -4.3 ml/yr, Q = 0.049; β = -6.1 ml/yr, Q = 0.032, respectively). Pathways and processes highlighted by our study include aberrant extracellular matrix remodeling, enhanced innate immune response, dysregulation of angiogenesis, and coagulation. Conclusions: In this study, we identify and validate novel biomarkers and pathways associated with lung function traits in a racially diverse population. In addition, we identify novel protein markers associated with FEV1 decline. Several protein findings are supported by previously reported genetic signals, highlighting the plausibility of certain biologic pathways. These novel proteins might represent markers for risk stratification, as well as novel molecular targets for treatment of COPD.
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Affiliation(s)
- Debby Ngo
- Cardiovascular Research Institute
- Division of Pulmonary, Critical Care, and Sleep Medicine, and
| | | | - Claudia Flexeder
- Institute of Epidemiology and
- Comprehensive Pneumology Center Munich (CPC-M) as member of the German Center for Lung Research (DZL), Munich, Germany
- Institute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital, Ludwig-Maximilians-University, Munich, Germany
| | - Hans Petersen
- Lovelace Respiratory Research Institute, Albuquerque, New Mexico
| | - Hong Dang
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | | | - Yan Gao
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi; and
- Institute and Clinic for Occupational, Social, and Environmental Medicine, University Hospital, Ludwig-Maximilians-University, Munich, Germany
| | | | | | | | | | | | | | | | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Claire Emson
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory and Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland
| | - Christian Gieger
- Institute of Epidemiology and
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine Qatar, Education City, Doha, Qatar
| | | | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Matthew P. Conomos
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, California
| | - Yongmei Liu
- Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, California
| | - George J. Papanicolaou
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (University of California, Los Angeles) Medical Center, Torrance, California
| | - Steven I. Rennard
- Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | - Prescott G. Woodruff
- Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California
| | | | | | | | - Martin G. Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
| | - Ramachandran S. Vasan
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Division of Preventive Medicine and
- Division of Cardiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Thomas J. Wang
- Department of Medicine, UT (University of Texas) Southwestern Medical Center, Dallas, Texas
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Adolfo Correa
- Jackson Heart Study, Department of Medicine, and
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi; and
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, and
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi; and
| | - James G. Wilson
- Cardiovascular Research Institute
- Jackson Heart Study, Department of Medicine, and
| | - Robert E. Gerszten
- Cardiovascular Research Institute
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - George T. O’Connor
- The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Pulmonary Center, Department of Medicine, Boston University, Boston, Massachusetts
| | - R. Graham Barr
- Department of Medicine and
- Department of Epidemiology, Columbia University, New York, New York
| | - David Couper
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia
| | - Wanda K. O’Neal
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Yohannes Tesfaigzi
- Lovelace Respiratory Research Institute, Albuquerque, New Mexico
- Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Holger Schulz
- Institute of Epidemiology and
- Comprehensive Pneumology Center Munich (CPC-M) as member of the German Center for Lung Research (DZL), Munich, Germany
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9
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Cosentino J, Behsaz B, Alipanahi B, McCaw ZR, Hill D, Schwantes-An TH, Lai D, Carroll A, Hobbs BD, Cho MH, McLean CY, Hormozdiari F. Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models. Nat Genet 2023; 55:787-795. [PMID: 37069358 DOI: 10.1038/s41588-023-01372-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 03/14/2023] [Indexed: 04/19/2023]
Abstract
Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is highly heritable. While COPD is clinically defined by applying thresholds to summary measures of lung function, a quantitative liability score has more power to identify genetic signals. Here we train a deep convolutional neural network on noisy self-reported and International Classification of Diseases labels to predict COPD case-control status from high-dimensional raw spirograms and use the model's predictions as a liability score. The machine-learning-based (ML-based) liability score accurately discriminates COPD cases and controls, and predicts COPD-related hospitalization without any domain-specific knowledge. Moreover, the ML-based liability score is associated with overall survival and exacerbation events. A genome-wide association study on the ML-based liability score replicates existing COPD and lung function loci and also identifies 67 new loci. Lastly, our method provides a general framework to use ML methods and medical-record-based labels that does not require domain knowledge or expert curation to improve disease prediction and genomic discovery for drug design.
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Affiliation(s)
| | | | | | | | - Davin Hill
- Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Division of Cardiology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - 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
- Harvard Medical School, Boston, 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
- Harvard Medical School, Boston, MA, USA
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10
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He Y, Qian DC, Diao JA, Cho MH, Silverman EK, Gusev A, Manrai AK, Martin AR, Patel CJ. Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.04.04.23288086. [PMID: 37066248 PMCID: PMC10104210 DOI: 10.1101/2023.04.04.23288086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
Smoking is the leading risk factor for chronic obstructive pulmonary disease (COPD) worldwide, yet many people who never smoke develop COPD. We hypothesize that considering other socioeconomic and environmental factors can better predict and stratify the risk of COPD in both non-smokers and smokers. We performed longitudinal analysis of COPD in the UK Biobank to develop the Socioeconomic and Environmental Risk Score (SERS) which captures additive and cumulative environmental, behavioral, and socioeconomic exposure risks beyond tobacco smoking. We tested the ability of SERS to predict and stratify the risk of COPD in current, previous, and never smokers of European and non-European ancestries in comparison to a composite genome-wide polygenic risk score (PGS). We tested associations using Cox regression models and assessed the predictive performance of models using Harrell's C index. SERS (C index = 0.770, 95% CI 0.756 to 0.784) was more predictive of COPD than smoking status (C index = 0.738, 95% CI 0.724 to 0.752), pack-years (C index = 0.742, 95% CI 0.727 to 0.756). Compared to the remaining population, individuals in the highest decile of the SERS had hazard ratios (HR) = 7.24 (95% CI 6.51 to 8.05, P < 0.0001) for incident COPD. Never smokers in the highest decile of exposure risk were more likely to develop COPD than previous and current smokers in the lowest decile with HR=4.95 (95% CI 1.56 to 15.69, P=6.65×10-3) and 2.92 (95%CI 1.51 to 5.61, P=1.38×10-3), respectively. In general, the prediction accuracy of SERS was lower in the non-European populations compared to the European evaluation set. In addition to genetic factors, socioeconomic and environmental factors beyond smoking can predict and stratify COPD risk for both non- and smoking individuals. Smoking status is often considered in screening; other non-smoking environmental and non-genetic variables should be evaluated prospectively for their clinical utility.
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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
| | - David C. Qian
- Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, USA
| | - James A. Diao
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02215
| | - Michael H. Cho
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Edwin K. Silverman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Alexander Gusev
- Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Arjun K. Manrai
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02215
| | - 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
| | - Chirag J. Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02215
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11
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Ghosh AJ, Moll M, Hess J, Hobbs BD, Love A, Coyne L, Cho MH, Castaldi P, Middleton FA, Perl A, Silverman EK, Hersh CP, Glatt SJ. Clinical Features of Genetic Resilience in Chronic Obstructive Pulmonary Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.06.23286843. [PMID: 36945553 PMCID: PMC10029040 DOI: 10.1101/2023.03.06.23286843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Introduction In the personalized risk quantification of chronic obstructive pulmonary disease (COPD), genome-wide association studies and polygenic risk scores (PRS) complement traditional risk factors, such as age and cigarette smoking. However, despite being at considerable levels of risk, some individuals do not develop COPD. Research on COPD resilience remains largely unexplored. Methods We applied the previously published COPD PRS to whole genome sequencing data from non-Hispanic white and African American individuals in the COPDGene study. We defined genetic resilience as individuals unaffected by COPD with a polygenic risk score above the 90 th percentile. We defined risk-matched case individuals as those with COPD (i.e., FEV 1 /FVC < 0.70) and a PRS above the 90 th percentile. We defined low risk individuals without COPD (i.e., FEV 1 /FVC > 0.70) as a polygenic risk score below the 10 th percentile. We compared genetically resilient individuals to risk-matched individuals with COPD and low risk individuals by demographics, lung function, respiratory symptoms, co-morbidities, and chest CT scan measurements. We also performed survival analyses, differential expression analysis, and matching for sensitivity analyses. Results We identified 211 resilient individuals without COPD, 605 genetic risk-matched individuals with COPD, and 527 low-risk individuals without COPD. Resilient individuals had higher FEV 1 % predicted and lower percent emphysema. In contrast, resilient individuals had higher airway wall thickness compared to low-risk unaffected individuals. While there was no difference in survival between low-risk and resilient individuals, resilient individuals had higher survival compared to risk matched cases. We also identified two genes that were differentially expressed between low-risk unaffected individuals and resilient individuals. Conclusion Genetically resilient individuals had a reduced burden of COPD disease-related measures compared to risk-matched cases but had subtly increased measures compared to low-risk unaffected individuals. Further genetic studies will be needed to illuminate the underlying pathobiology of our observations.
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12
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Golovina E, Fadason T, Jaros RK, Kumar H, John J, Burrowes K, Tawhai M, O'Sullivan JM. De novo discovery of traits co-occurring with chronic obstructive pulmonary disease. Life Sci Alliance 2023; 6:6/3/e202201609. [PMID: 36574990 PMCID: PMC9795035 DOI: 10.26508/lsa.202201609] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 12/06/2022] [Accepted: 12/08/2022] [Indexed: 12/28/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a heterogeneous group of chronic lung conditions. Genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) associated with COPD and the co-occurring conditions, suggesting common biological mechanisms underlying COPD and these co-occurring conditions. To identify them, we have integrated information across different biological levels (i.e., genetic variants, lung-specific 3D genome structure, gene expression and protein-protein interactions) to build lung-specific gene regulatory and protein-protein interaction networks. We have queried these networks using disease-associated SNPs for COPD, unipolar depression and coronary artery disease. COPD-associated SNPs can control genes involved in the regulation of lung or pulmonary function, asthma, brain region volumes, cortical surface area, depressed affect, neuroticism, Parkinson's disease, white matter microstructure and smoking behaviour. We describe the regulatory connections, genes and biochemical pathways that underlay these co-occurring trait-SNP-gene associations. Collectively, our findings provide new avenues for the investigation of the underlying biology and diverse clinical presentations of COPD. In so doing, we identify a collection of genetic variants and genes that may aid COPD patient stratification and treatment.
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Affiliation(s)
| | - Tayaza Fadason
- Liggins Institute, University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand
| | - Rachel K Jaros
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Haribalan Kumar
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Joyce John
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Kelly Burrowes
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Merryn Tawhai
- Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
| | - Justin M O'Sullivan
- Liggins Institute, University of Auckland, Auckland, New Zealand .,Maurice Wilkins Centre, University of Auckland, Auckland, New Zealand.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,Garvan Institute of Medical Research, Sydney, Australia.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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13
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Forder A, Zhuang R, Souza VGP, Brockley LJ, Pewarchuk ME, Telkar N, Stewart GL, Benard K, Marshall EA, Reis PP, Lam WL. Mechanisms Contributing to the Comorbidity of COPD and Lung Cancer. Int J Mol Sci 2023; 24:ijms24032859. [PMID: 36769181 PMCID: PMC9918127 DOI: 10.3390/ijms24032859] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/18/2023] [Accepted: 01/22/2023] [Indexed: 02/05/2023] Open
Abstract
Lung cancer and chronic obstructive pulmonary disease (COPD) often co-occur, and individuals with COPD are at a higher risk of developing lung cancer. While the underlying mechanism for this risk is not well understood, its major contributing factors have been proposed to include genomic, immune, and microenvironment dysregulation. Here, we review the evidence and significant studies that explore the mechanisms underlying the heightened lung cancer risk in people with COPD. Genetic and epigenetic changes, as well as the aberrant expression of non-coding RNAs, predispose the lung epithelium to carcinogenesis by altering the expression of cancer- and immune-related genes. Oxidative stress generated by tobacco smoking plays a role in reducing genomic integrity, promoting epithelial-mesenchymal-transition, and generating a chronic inflammatory environment. This leads to abnormal immune responses that promote cancer development, though not all smokers develop lung cancer. Sex differences in the metabolism of tobacco smoke predispose females to developing COPD and accumulating damage from oxidative stress that poses a risk for the development of lung cancer. Dysregulation of the lung microenvironment and microbiome contributes to chronic inflammation, which is observed in COPD and known to facilitate cancer initiation in various tumor types. Further, there is a need to better characterize and identify the proportion of individuals with COPD who are at a high risk for developing lung cancer. We evaluate possible novel and individualized screening strategies, including biomarkers identified in genetic studies and exhaled breath condensate analysis. We also discuss the use of corticosteroids and statins as chemopreventive agents to prevent lung cancer. It is crucial that we optimize the current methods for the early detection and management of lung cancer and COPD in order to improve the health outcomes for a large affected population.
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Affiliation(s)
- Aisling Forder
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Rebecca Zhuang
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Vanessa G P Souza
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
| | - Liam J Brockley
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Michelle E Pewarchuk
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Nikita Telkar
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada
- British Columbia Children's Hospital Research Institute, Vancouver, BC V5Z 4H4, Canada
| | - Greg L Stewart
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Katya Benard
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
| | - Erin A Marshall
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Patricia P Reis
- Molecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil
| | - Wan L Lam
- British Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
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14
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Stanković M, Đorđević V, Tomović A, Nagorni-Obradović L, Petrović-Stanojević N, Kovač M, Radojković D. Interactions of the eNOS and ACE genes and cigarette smoking in chronic obstructive pulmonary disease. J Med Biochem 2023; 42:94-104. [PMID: 36819141 PMCID: PMC9920871 DOI: 10.5937/jomb0-34017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/27/2022] [Indexed: 11/02/2022] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is a complex disorder with unexplained heritability. Interactions of genetic and environmental factors are thought to be crucial in COPD. So, we aim to examine interactions of the endothelial nitric oxide synthase (eNOS) and angiotensin converting enzyme (ACE) genes and cigarette smoking in COPD. Methods The eNOS G 894T and ACE ID variants were analyzed in 122 COPD patients and 200 controls from Serbia. The effect of the variants on COPD was assessed by logistic regression. Interactions between eNOS, ACE and cigarette smoking in COPD were evaluated using a case-control model. Interaction between the genes was analyzed in silico. Results No effect of the eNOS G 894T and ACE ID variants on COPD was found in our study. Gene-gene interaction between the eN OS T T and A CE D was identified (p=0.033) in COPD. The interaction is realized within the complex network of biochemical pathways. Gene-environment interactions between the eNOS T and cigarette smoking (p=0.013), and the ACE II and cigarette smoking (p=0.009) were detected in COPD in our study. Conclusions This is the first research to reveal interactions of the eNOS and ACE genes and cigarette smoking in COPD progressing our understanding of COPD heritability and contributing to the development of appropriate treatments.
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Affiliation(s)
- Marija Stanković
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade
| | - Valentina Đorđević
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade
| | - Andrija Tomović
- Novartis Pharma Services Inc. Representative Office, Sofia, Bulgaria
| | | | | | - Mirjana Kovač
- University of Belgrade, Faculty of Medicine, Belgrade
| | - Dragica Radojković
- University of Belgrade, Institute of Molecular Genetics and Genetic Engineering, Belgrade
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15
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Mechanisms of Lung Damage and Development of COPD Due to Household Biomass-Smoke Exposure: Inflammation, Oxidative Stress, MicroRNAs, and Gene Polymorphisms. Cells 2022; 12:cells12010067. [PMID: 36611860 PMCID: PMC9818405 DOI: 10.3390/cells12010067] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 12/28/2022] Open
Abstract
Chronic exposure to indoor biomass smoke from the combustion of solid organic fuels is a major cause of disease burden worldwide. Almost 3 billion people use solid fuels such as wood, charcoal, and crop residues for indoor cooking and heating, accounting for approximately 50% of all households and 90% of rural households globally. Biomass smoke contains many hazardous pollutants, resulting in household air pollution (HAP) exposure that often exceeds international standards. Long-term biomass-smoke exposure is associated with Chronic Obstructive Pulmonary Disease (COPD) in adults, a leading cause of morbidity and mortality worldwide, chronic bronchitis, and other lung conditions. Biomass smoke-associated COPD differs from the best-known cigarette smoke-induced COPD in several aspects, such as a slower decline in lung function, greater airway involvement, and less emphysema, which suggests a different phenotype and pathophysiology. Despite the high burden of biomass-associated COPD, the molecular, genetic, and epigenetic mechanisms underlying its pathogenesis are poorly understood. This review describes the pathogenic mechanisms potentially involved in lung damage, the development of COPD associated with wood-derived smoke exposure, and the influence of genetic and epigenetic factors on the development of this disease.
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16
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Lahmar Z, Ahmed E, Fort A, Vachier I, Bourdin A, Bergougnoux A. Hedgehog pathway and its inhibitors in chronic obstructive pulmonary disease (COPD). Pharmacol Ther 2022; 240:108295. [PMID: 36191777 DOI: 10.1016/j.pharmthera.2022.108295] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 08/22/2022] [Accepted: 09/28/2022] [Indexed: 11/05/2022]
Abstract
COPD affects millions of people and is now ranked as the third leading cause of death worldwide. This largely untreatable chronic airway disease results in irreversible destruction of lung architecture. The small lung hypothesis is now supported by epidemiological, physiological and clinical studies. Accordingly, the early and severe COPD phenotype carries the most dreadful prognosis and finds its roots during lung growth. Pathophysiological mechanisms remain poorly understood and implicate individual susceptibility (genetics), a large part of environmental factors (viral infections, tobacco consumption, air pollution) and the combined effects of those triggers on gene expression. Genetic susceptibility is most likely involved as the disease is severe and starts early in life. The latter observation led to the identification of Mendelian inheritance via disease-causing variants of SERPINA1 - known as the basis for alpha-1 anti-trypsin deficiency, and TERT. In the last two decades multiple genome wide association studies (GWAS) identified many single nucleotide polymorphisms (SNPs) associated with COPD. High significance SNPs are located in 4q31 near HHIP which encodes an evolutionarily highly conserved physiological inhibitor of the Hedgehog signaling pathway (HH). HHIP is critical to several in utero developmental lung processes. It is also implicated in homeostasis, injury response, epithelial-mesenchymal transition and tumor resistance to apoptosis. A few studies have reported decreased HHIP RNA and protein levels in human adult COPD lungs. HHIP+/- murine models led to emphysema. HH pathway inhibitors, such as vismodegib and sonidegib, are already validated in oncology, whereas other drugs have evidenced in vitro effects. Targeting the Hedgehog pathway could lead to a new therapeutic avenue in COPD. In this review, we focused on the early and severe COPD phenotype and the small lung hypothesis by exploring genetic susceptibility traits that are potentially treatable, thus summarizing promising therapeutics for the future.
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Affiliation(s)
- Z Lahmar
- Department of Respiratory Diseases, CHU de Montpellier, Montpellier, France
| | - E Ahmed
- Department of Respiratory Diseases, CHU de Montpellier, Montpellier, France; PhyMedExp, Univ Montpellier, Inserm U1046, CNRS UMR 9214, Montpellier, France
| | - A Fort
- PhyMedExp, Univ Montpellier, Inserm U1046, CNRS UMR 9214, Montpellier, France
| | - I Vachier
- Department of Respiratory Diseases, CHU de Montpellier, Montpellier, France; PhyMedExp, Univ Montpellier, Inserm U1046, CNRS UMR 9214, Montpellier, France
| | - A Bourdin
- Department of Respiratory Diseases, CHU de Montpellier, Montpellier, France; PhyMedExp, Univ Montpellier, Inserm U1046, CNRS UMR 9214, Montpellier, France
| | - A Bergougnoux
- PhyMedExp, Univ Montpellier, Inserm U1046, CNRS UMR 9214, Montpellier, France; Laboratoire de Génétique Moléculaire et de Cytogénomique, CHU de Montpellier, Montpellier, France.
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17
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Kim W, Hecker J, Barr RG, Boerwinkle E, Cade B, Correa A, Dupuis J, Gharib SA, Lange L, London SJ, Morrison AC, O'Connor GT, Oelsner EC, Psaty BM, Vasan RS, Redline S, Rich SS, Rotter JI, Yu B, Lange C, Manichaikul A, Zhou JJ, Sofer T, Silverman EK, Qiao D, Cho MH. Assessing the contribution of rare genetic variants to phenotypes of chronic obstructive pulmonary disease using whole-genome sequence data. Hum Mol Genet 2022; 31:3873-3885. [PMID: 35766891 PMCID: PMC9652112 DOI: 10.1093/hmg/ddac117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/13/2022] [Accepted: 05/16/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE Genetic variation has a substantial contribution to chronic obstructive pulmonary disease (COPD) and lung function measurements. Heritability estimates using genome-wide genotyping data can be biased if analyses do not appropriately account for the nonuniform distribution of genetic effects across the allele frequency and linkage disequilibrium (LD) spectrum. In addition, the contribution of rare variants has been unclear. OBJECTIVES We sought to assess the heritability of COPD and lung function using whole-genome sequence data from the Trans-Omics for Precision Medicine program. METHODS Using the genome-based restricted maximum likelihood method, we partitioned the genome into bins based on minor allele frequency and LD scores and estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio in 11 051 European ancestry and 5853 African-American participants. MEASUREMENTS AND MAIN RESULTS In European ancestry participants, the estimated heritability of COPD, FEV1% predicted and FEV1/FVC ratio were 35.5%, 55.6% and 32.5%, of which 18.8%, 19.7%, 17.8% were from common variants, and 16.6%, 35.8%, and 14.6% were from rare variants. These estimates had wide confidence intervals, with common variants and some sets of rare variants showing a statistically significant contribution (P-value < 0.05). In African-Americans, common variant heritability was similar to European ancestry participants, but lower sample size precluded calculation of rare variant heritability. CONCLUSIONS Our study provides updated and unbiased estimates of heritability for COPD and lung function, and suggests an important contribution of rare variants. Larger studies of more diverse ancestry will improve accuracy of these estimates.
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Affiliation(s)
- Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Julian Hecker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Brian Cade
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University of Public Health, Boston, MA 02118, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA 98109, USA
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, Department of Health and Human Services, National Institutes of Health, Research Triangle Park, NC 27709, USA
| | - Alanna C Morrison
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - George T O'Connor
- Pulmonary Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Elizabeth C Oelsner
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
- Departments of Epidemiology and Health Services, University of Washington, Seattle, WA 98101, USA
| | - Ramachandran S Vasan
- Lung and Blood Institute Framingham Heart Study, Boston University and National Heart, Framingham, MA 01702, USA
- Department of Preventive Medicine and Epidemiology, School of Medicine and Public Health, Boston University, Boston, MA 02118, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA 22908, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Christoph Lange
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Jin J Zhou
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85721, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorder, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
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18
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Yang M, Pang B, Wang Q, Zhang Z, Niu W. The causal association between genetically regulated 25OHD and chronic obstructive pulmonary disease: A meta-analysis and Mendelian randomization study. Front Genet 2022; 13:932764. [PMID: 36338991 PMCID: PMC9629695 DOI: 10.3389/fgene.2022.932764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 09/08/2022] [Indexed: 11/23/2022] Open
Abstract
Backgrounds and objectives: Chronic obstructive pulmonary disease (COPD) is a multifactorial disease under genetic control. We present a meta-analysis to examine the associations of vitamin D binding protein (VDBP) gene rs7041 polymorphism with the risk of COPD and changes in circulating 25OHD concentrations. Methods: A literature search, quality assessment, and data extraction were conducted independently by two investigators. Data are expressed as odds ratio (OR) or weighted mean difference (WMD) with a 95% confidence interval (CI). The inverse variance weighted method (IVW) in R (version 1.1.456) was applied to calculate the Mendelian randomization coefficient. Results: A total of 13 articles with 3,667 participants were meta-analyzed. The rs7041-GT genotype was associated with a 49% reduced COPD risk (OR: 0.51, 95% CI: 0.30 to 0.88, p = 0.014) compared to the rs7041-TT genotype. Carriers of the rs7041-GT genotype had significantly higher concentrations of circulating 25OHD than those with the rs7041-TT genotype (WMD: 0.32 ng/ml, 95% CI: 0.09 to 0.55, p = 0.006). Under the assumptions of Mendelian randomization, and assuming a linear logistic relationship between circulating 25OHD and COPD, an inverse association was noted after using VDBP gene rs7041 polymorphism as an instrument (WMD: −2.07, 95% CI: −3.72 to −0.41, p = 0.015). There was a low probability of publication bias. Conclusion: We observed significant associations of VDBP gene rs7041 polymorphism with the risk of COPD and changes in circulating 25OHD concentrations. Importantly, we found a causal relationship between genetically regulated 25OHD concentrations and COPD risk.
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Affiliation(s)
- Min Yang
- Department of Acupuncture and Moxibustion, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Bo Pang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qiong Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Zhixin Zhang
- International Medical Services, China-Japan Friendship Hospital, Beijing, China
- *Correspondence: Zhixin Zhang, ; Wenquan Niu,
| | - Wenquan Niu
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
- *Correspondence: Zhixin Zhang, ; Wenquan Niu,
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19
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Stolz D, Mkorombindo T, Schumann DM, Agusti A, Ash SY, Bafadhel M, Bai C, Chalmers JD, Criner GJ, Dharmage SC, Franssen FME, Frey U, Han M, Hansel NN, Hawkins NM, Kalhan R, Konigshoff M, Ko FW, Parekh TM, Powell P, Rutten-van Mölken M, Simpson J, Sin DD, Song Y, Suki B, Troosters T, Washko GR, Welte T, Dransfield MT. Towards the elimination of chronic obstructive pulmonary disease: a Lancet Commission. Lancet 2022; 400:921-972. [PMID: 36075255 PMCID: PMC11260396 DOI: 10.1016/s0140-6736(22)01273-9] [Citation(s) in RCA: 182] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 05/23/2022] [Accepted: 06/28/2022] [Indexed: 10/14/2022]
Abstract
Despite substantial progress in reducing the global impact of many non-communicable diseases, including heart disease and cancer, morbidity and mortality due to chronic respiratory disease continues to increase. This increase is driven primarily by the growing burden of chronic obstructive pulmonary disease (COPD), and has occurred despite the identification of cigarette smoking as the major risk factor for the disease more than 50 years ago. Many factors have contributed to what must now be considered a public health emergency: failure to limit the sale and consumption of tobacco products, unchecked exposure to environmental pollutants across the life course, and the ageing of the global population (partly as a result of improved outcomes for other conditions). Additionally, despite the heterogeneity of COPD, diagnostic approaches have not changed in decades and rely almost exclusively on post-bronchodilator spirometry, which is insensitive for early pathological changes, underused, often misinterpreted, and not predictive of symptoms. Furthermore, guidelines recommend only simplistic disease classification strategies, resulting in the same therapeutic approach for patients with widely differing conditions that are almost certainly driven by variable pathophysiological mechanisms. And, compared with other diseases with similar or less morbidity and mortality, the investment of financial and intellectual resources from both the public and private sector to advance understanding of COPD, reduce exposure to known risks, and develop new therapeutics has been woefully inadequate.
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Affiliation(s)
- Daiana Stolz
- Clinic of Respiratory Medicine and Pulmonary Cell Research, University Hospital Basel, Basel, Switzerland; Department of Clinical Research, University Hospital Basel, Basel, Switzerland; Clinic of Respiratory Medicine and Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Takudzwa Mkorombindo
- Lung Health Center, Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Desiree M Schumann
- Clinic of Respiratory Medicine and Pulmonary Cell Research, University Hospital Basel, Basel, Switzerland
| | - Alvar Agusti
- Respiratory Institute-Hospital Clinic, University of Barcelona IDIBAPS, CIBERES, Barcelona, Spain
| | - Samuel Y Ash
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Mona Bafadhel
- School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK; Department of Respiratory Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Chunxue Bai
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - James D Chalmers
- Scottish Centre for Respiratory Research, University of Dundee, Dundee, UK
| | - Gerard J Criner
- Department of Thoracic Medicine and Surgery, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
| | - Shyamali C Dharmage
- Centre for Epidemiology and Biostatistics, School of Population and Global health, University of Melbourne, Melbourne, VIC, Australia
| | - Frits M E Franssen
- Department of Research and Education, CIRO, Horn, Netherlands; Department of Respiratory Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Urs Frey
- University Children's Hospital Basel, Basel, Switzerland
| | - MeiLan Han
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nadia N Hansel
- Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Nathaniel M Hawkins
- Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Ravi Kalhan
- Department of Preventive Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Melanie Konigshoff
- Division of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Fanny W Ko
- The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Trisha M Parekh
- Lung Health Center, Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Maureen Rutten-van Mölken
- Erasmus School of Health Policy & Management and Institute for Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, Netherlands
| | - Jodie Simpson
- Priority Research Centre for Healthy Lungs, Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW, Australia
| | - Don D Sin
- Centre for Heart Lung Innovation and Division of Respiratory Medicine, Department of Medicine, University of British Columbia, St Paul's Hospital, Vancouver, BC, Canada
| | - Yuanlin Song
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China; Shanghai Respiratory Research Institute, Shanghai, China; Jinshan Hospital of Fudan University, Shanghai, China
| | - Bela Suki
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Thierry Troosters
- Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium
| | - George R Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tobias Welte
- Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany; Biomedical Research in Endstage and Obstructive Lung Disease, German Center for Lung Research, Hannover, Germany
| | - Mark T Dransfield
- Lung Health Center, Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; Birmingham VA Medical Center, Birmingham, AL, USA.
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20
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Zhang J, Xu H, Qiao D, DeMeo DL, Silverman EK, O’Connor GT, Hobbs BD, Dupuis J, Cho MH, Moll M. A polygenic risk score and age of diagnosis of COPD. Eur Respir J 2022; 60:2101954. [PMID: 35115341 PMCID: PMC9969342 DOI: 10.1183/13993003.01954-2021] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 01/14/2022] [Indexed: 01/19/2023]
Abstract
BACKGROUND Genetic susceptibility may be associated with earlier onset of chronic obstructive pulmonary disease (COPD). We hypothesised that a polygenic risk score (PRS) for COPD would be associated with earlier age of diagnosis of COPD. METHODS In 6647 non-Hispanic White (NHW) and 2464 African American (AA) participants from COPDGene, and 6812 participants from the Framingham Heart Study (FHS), we tested the relationship of the PRS and age of COPD diagnosis. Age at diagnosis was determined by: 1) self-reported age at COPD diagnosis or 2) age at visits when moderate-to-severe airflow limitation (Global Initiative for Chronic Obstructive Lung Disease (GOLD) grade 2-4) was observed on spirometry. We used Cox regression to examine the overall and time-dependent effects of the PRS on incident COPD. In the COPDGene study, we also examined the PRS's predictive value for COPD at age <50 years (COPD50) using logistic regression and area under the curve (AUC) analyses, with and without the addition of other risk factors present at early life (e.g. childhood asthma). RESULTS In Cox models, the PRS demonstrated age-dependent associations with incident COPD, with larger effects at younger ages in both cohorts. The PRS was associated with COPD50 (OR 1.55 (95% CI 1.41-1.71) for NHW, OR 1.23 (95% CI 1.05-1.43) for AA and OR 2.47 (95% CI 2.12-2.88) for FHS participants). In COPDGene, adding the PRS to known early-life risk factors improved prediction of COPD50 in NHW (AUC 0.69 versus 0.74; p<0.0001) and AA (AUC 0.61 versus 0.64; p=0.04) participants. CONCLUSIONS A COPD PRS is associated with earlier age of diagnosis of COPD and retains predictive value when added to known early-life risk factors.
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Affiliation(s)
- Jingzhou Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- The Pulmonary Center, Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, MA 02118
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - George T. O’Connor
- The Pulmonary Center, Section of Pulmonary, Allergy, Sleep, and Critical Care Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118
| | - Brian D. Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, MA 02118
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115
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21
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Do AR, Ko DY, Kim J, Bak SH, Lee KY, Yoon D, Shin C, Kim S, Kim WJ, Won S. Genome-Wide Association Study of Airway Wall Thickening in a Korean Chronic Obstructive Pulmonary Disease Cohort. Genes (Basel) 2022; 13:genes13071258. [PMID: 35886039 PMCID: PMC9318537 DOI: 10.3390/genes13071258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 06/23/2022] [Accepted: 06/28/2022] [Indexed: 02/04/2023] Open
Abstract
Airway wall thickening (AWT) plays an important pathophysiological role in airway diseases such as chronic obstructive pulmonary disease (COPD). There are only a few studies on the genetic components contributing to AWT in the Korean population. This study aimed to identify AWT-related single-nucleotide polymorphisms (SNPs) using a genome-wide association study (GWAS). We performed GWAS for AWT using the CODA and KUCOPD cohorts. Thereafter, a meta-analysis was performed. Airway wall thickness was measured using automatic segmentation software. The AWT at an internal perimeter of 10 mm (AWT-Pi10) was calculated by the square root of the theoretical airway wall area using the full-width-half-maximum method. We identified a significant SNP (rs11648772, p = 1.41 × 10-8) located in LINC02127, near SALL1. This gene is involved in the inhibition of epithelial-mesenchymal transition in glial cells, and it affects bronchial wall depression in COPD patients. Additionally, we identified other SNPs (rs11970854, p = 1.92 × 10-6; rs16920168, p = 5.29 × 10-6) involved in airway inflammation and proliferation and found that AWT is influenced by these genetic variants. Our study helps identify the genetic cause of COPD in an Asian population and provides a potential basis for treatment.
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Affiliation(s)
- Ah Ra Do
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul 08826, Korea;
| | - Do Yeon Ko
- Environmental Health Center, Department of Internal Medicine, Kangwon National University, Chuncheon 25948, Korea; (D.Y.K.); (J.K.)
| | - Jeeyoung Kim
- Environmental Health Center, Department of Internal Medicine, Kangwon National University, Chuncheon 25948, Korea; (D.Y.K.); (J.K.)
| | - So Hyeon Bak
- Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon 24341, Korea;
| | - Ki Yeol Lee
- Department of Radiology, Korea University Ansan Hospital, Ansan 15355, Korea;
| | - Dankyu Yoon
- Department of Chronic Disease Convergence Research, Division of Allergy and Respiratory Disease Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Korea;
| | - Chol Shin
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul 08826, Korea;
- Department of Internal Medicine, Division of Pulmonary Sleep and Critical Care Medicine, Korea University Ansan Hospital, Ansan 15355, Korea
| | - Soriul Kim
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul 08826, Korea;
- Correspondence: (S.K.); (W.J.K.); (S.W.); Tel.: +82-31-412-5603 (S.K.); +82-33-258-9303 (W.J.K.), +82-2-880-2714 (S.W.)
| | - Woo Jin Kim
- Environmental Health Center, Department of Internal Medicine, Kangwon National University, Chuncheon 25948, Korea; (D.Y.K.); (J.K.)
- Correspondence: (S.K.); (W.J.K.); (S.W.); Tel.: +82-31-412-5603 (S.K.); +82-33-258-9303 (W.J.K.), +82-2-880-2714 (S.W.)
| | - Sungho Won
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul 08826, Korea;
- Department of Public Health Sciences, School of Public Health, Seoul National University, Seoul 08826, Korea
- Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
- RexSoft Inc., Seoul 08826, Korea
- Correspondence: (S.K.); (W.J.K.); (S.W.); Tel.: +82-31-412-5603 (S.K.); +82-33-258-9303 (W.J.K.), +82-2-880-2714 (S.W.)
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22
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Li D, Kim W, An J, Kim S, Lee S, Do A, Kim W, Lee S, Yoon D, Lee K, Ha S, Silverman EK, Cho M, Shin C, Won S. Heritability Analyses Uncover Shared Genetic Effects of Lung Function and Change over Time. Genes (Basel) 2022; 13:genes13071261. [PMID: 35886044 PMCID: PMC9316642 DOI: 10.3390/genes13071261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 07/05/2022] [Accepted: 07/08/2022] [Indexed: 01/27/2023] Open
Abstract
Genetic influence on lung functions has been identified in previous studies; however, the relative longitudinal effects of genetic factors and their interactions with smoking on lung function remain unclear. Here, we identified the longitudinal effects of genetic variants on lung function by determining single nucleotide polymorphism (SNP) heritability and genetic correlations, and by analyzing interactions with smoking. Subject-specific means and annual change rates were calculated for eight spirometric measures obtained from 6622 Korean adults aged 40−69 years every two years for 14 years, and their heritabilities were estimated separately. Statistically significant (p < 0.05) heritability for the subject-specific means of all spirometric measures (8~32%) and change rates of forced expiratory volume in 1 s to forced vital capacity ratio (FEV1/FVC; 16%) and post-bronchodilator FEV1/FVC (17%) were detected. Significant genetic correlations of the change rate with the subject-specific mean were observed for FEV1/FVC (ρg = 0.64) and post-bronchodilator FEV1/FVC (ρg = 0.47). Furthermore, post-bronchodilator FEV1/FVC showed significant heritability of SNP-by-smoking interaction (hGXS2 = 0.4) for the annual change rate. The GWAS also detected genome-wide significant SNPs for FEV1 (rs4793538), FEV1/FVC (rs2704589, rs62201158, and rs9391733), and post-bronchodilator FEV1/FVC (rs2445936). We found statistically significant evidence of heritability role on the change in lung function, and this was shared with the effects on cross-sectional measurements. We also found some evidence of interaction with smoking for the change of lung function.
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Affiliation(s)
- Donghe Li
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea; (D.L.); (A.D.)
- Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA
| | - Woojin Kim
- Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon 24341, Korea;
| | - Jahoon An
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea;
| | - Soriul Kim
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul 136701, Korea; (S.K.); (S.L.)
| | - Seungku Lee
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul 136701, Korea; (S.K.); (S.L.)
| | - Ahra Do
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea; (D.L.); (A.D.)
| | - Wonji Kim
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA; (W.K.); (E.K.S.); (M.C.)
| | - Sanghun Lee
- Department of Medical Consilience, Graduate School, Dankook University, Yongin 16890, Korea;
| | - Dankyu Yoon
- Division of Allergy and Respiratory Disease Research, Department of Chronic Disease Convergence Research, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Korea;
| | - Kwangbae Lee
- Korea Medical Institute, Seoul 03173, Korea; (K.L.); (S.H.)
| | - Seounguk Ha
- Korea Medical Institute, Seoul 03173, Korea; (K.L.); (S.H.)
| | - Edwin K. Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA; (W.K.); (E.K.S.); (M.C.)
| | - Michael Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA; (W.K.); (E.K.S.); (M.C.)
| | - Chol Shin
- Institute for Human Genomic Study, College of Medicine, Korea University, Seoul 136701, Korea; (S.K.); (S.L.)
- Division of Pulmonary Sleep and Critical Care Medicine, Department of Internal Medicine, Korea University Ansan Hospital, Ansan 15355, Korea
- Correspondence: (C.S.); (S.W.)
| | - Sungho Won
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea; (D.L.); (A.D.)
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea;
- Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
- RexSoft Inc., Seoul 08826, Korea
- Correspondence: (C.S.); (S.W.)
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23
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Werder RB, Liu T, Abo KM, Lindstrom-Vautrin J, Villacorta-Martin C, Huang J, Hinds A, Boyer N, Bullitt E, Liesa M, Silverman EK, Kotton DN, Cho MH, Zhou X, Wilson AA. CRISPR interference interrogation of COPD GWAS genes reveals the functional significance of desmoplakin in iPSC-derived alveolar epithelial cells. SCIENCE ADVANCES 2022; 8:eabo6566. [PMID: 35857525 PMCID: PMC9278866 DOI: 10.1126/sciadv.abo6566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/27/2022] [Indexed: 06/15/2023]
Abstract
Genome-wide association studies (GWAS) have identified dozens of loci associated with chronic obstructive pulmonary disease (COPD) susceptibility; however, the function of associated genes in the cell type(s) affected in disease remains poorly understood, partly due to a lack of cell models that recapitulate human alveolar biology. Here, we apply CRISPR interference to interrogate the function of nine genes implicated in COPD by GWAS in induced pluripotent stem cell-derived type 2 alveolar epithelial cells (iAT2s). We find that multiple genes implicated by GWAS affect iAT2 function, including differentiation potential, maturation, and/or proliferation. Detailed characterization of the GWAS gene DSP demonstrates that it regulates iAT2 cell-cell junctions, proliferation, mitochondrial function, and response to cigarette smoke-induced injury. Our approach thus elucidates the biological function, as well as disease-relevant consequences of dysfunction, of genes implicated in COPD by GWAS in type 2 alveolar epithelial cells.
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Affiliation(s)
- Rhiannon B. Werder
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA 02118, USA
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
- QIMR Berghofer Medical Research Institute, Herston, QLD 4006, Australia
| | - Tao Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Kristine M. Abo
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA 02118, USA
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | | | - Carlos Villacorta-Martin
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA 02118, USA
| | - Jessie Huang
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA 02118, USA
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Anne Hinds
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Nathan Boyer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Esther Bullitt
- Department of Physiology and Biophysics, Boston University School of Medicine, Boston, MA 02118, USA
| | - Marc Liesa
- Department of Medicine, Endocrinology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, USA
- Institut de Biologia Molecular De Barcelona (IBMB-CSIC), Barcelona, Catalonia 08028, Spain
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Darrell N. Kotton
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA 02118, USA
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Xiaobo Zhou
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Andrew A. Wilson
- Center for Regenerative Medicine, Boston University and Boston Medical Center, Boston, MA 02118, USA
- Pulmonary Center and Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
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24
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Christenson SA, Smith BM, Bafadhel M, Putcha N. Chronic obstructive pulmonary disease. Lancet 2022; 399:2227-2242. [PMID: 35533707 DOI: 10.1016/s0140-6736(22)00470-6] [Citation(s) in RCA: 254] [Impact Index Per Article: 127.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 02/16/2022] [Accepted: 02/25/2022] [Indexed: 12/14/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a major cause of morbidity, mortality, and health-care use worldwide. COPD is caused by exposure to inhaled noxious particles, notably tobacco smoke and pollutants. However, the broad range of factors that increase the risk of development and progression of COPD throughout the life course are increasingly being recognised. Innovations in omics and imaging techniques have provided greater insight into disease pathobiology, which might result in advances in COPD prevention, diagnosis, and treatment. Although few novel treatments have been approved for COPD in the past 5 years, advances have been made in targeting existing therapies to specific subpopulations using new biomarker-based strategies. Additionally, COVID-19 has undeniably affected individuals with COPD, who are not only at higher risk for severe disease manifestations than healthy individuals but also negatively affected by interruptions in health-care delivery and social isolation. This Seminar reviews COPD with an emphasis on recent advances in epidemiology, pathophysiology, imaging, diagnosis, and treatment.
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Affiliation(s)
- Stephanie A Christenson
- Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Benjamin M Smith
- Department of Medicine, Columbia University Medical Center, New York, NY, USA; Department of Medicine, McGill University Health Centre, Montreal, QC, Canada
| | - Mona Bafadhel
- School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK; Department of Respiratory Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nirupama Putcha
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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25
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Hu X, Qiao D, Kim W, Moll M, Balte PP, Lange LA, Bartz TM, Kumar R, Li X, Yu B, Cade BE, Laurie CA, Sofer T, Ruczinski I, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Gabriel S, Gupta N, Dugan-Perez S, Cupples LA, Loehr LR, Jain D, Rotter JI, Wilson JG, Psaty BM, Fornage M, Morrison AC, Vasan RS, Washko G, Rich SS, O'Connor GT, Bleecker E, Kaplan RC, Kalhan R, Redline S, Gharib SA, Meyers D, Ortega V, Dupuis J, London SJ, Lappalainen T, Oelsner EC, Silverman EK, Barr RG, Thornton TA, Wheeler HE, Cho MH, Im HK, Manichaikul A. Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program. Am J Hum Genet 2022; 109:857-870. [PMID: 35385699 PMCID: PMC9118106 DOI: 10.1016/j.ajhg.2022.03.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 03/04/2022] [Indexed: 12/17/2022] Open
Abstract
While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1 s [FEV1] and its ratio to forced vital capacity [FEV1/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV1 and FEV1/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR] = 1.24 [95% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with ≥ 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p < 2.2 × 10-16 with portability gains ranging from 5% to 28%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.
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Affiliation(s)
- Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Pallavi P Balte
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98101, USA
| | - Rajesh Kumar
- Division of Allergy and Clinical Immunology, Ann and Robert H. Lurie Children's Hospital, Chicago, IL 60611, USA; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Xingnan Li
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | | | - Stacy Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Laura R Loehr
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02115, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA 98101, USA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA 01702, USA; Department of Preventive Medicine and Epidemiology, School of Medicine and Public Health, Boston University, Boston, MA 02118, USA
| | - George Washko
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
| | - George T O'Connor
- Pulmonary Center, Boston University, School of Medicine, Boston, MA 02118, USA
| | - Eugene Bleecker
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Ravi Kalhan
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA 98109, USA
| | - Deborah Meyers
- Department of Medicine, University of Arizona, Tucson, AZ 85724, USA
| | - Victor Ortega
- Pulmonary and Critical Care, School of Medicine, Wake Forest University, Winston-Salem, NC 27157, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY 10013, USA; Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Elizabeth C Oelsner
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Timothy A Thornton
- Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
| | - Heather E Wheeler
- Department of Biology, Loyola University Chicago, Chicago, IL 60660, USA
| | | | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Hae Kyung Im
- Section of Genetic Medicine, The University of Chicago, Chicago, IL 60637, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
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Cho MH, Hobbs BD, Silverman EK. Genetics of chronic obstructive pulmonary disease: understanding the pathobiology and heterogeneity of a complex disorder. THE LANCET. RESPIRATORY MEDICINE 2022; 10:485-496. [PMID: 35427534 PMCID: PMC11197974 DOI: 10.1016/s2213-2600(21)00510-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 10/20/2021] [Accepted: 11/09/2021] [Indexed: 12/20/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is a deadly and highly morbid disease. Susceptibility to and heterogeneity of COPD are incompletely explained by environmental factors such as cigarette smoking. Family-based and population-based studies have shown that a substantial proportion of COPD risk is related to genetic variation. Genetic association studies have identified hundreds of genetic variants that affect risk for COPD, decreased lung function, and other COPD-related traits. These genetic variants are associated with other pulmonary and non-pulmonary traits, demonstrate a genetic basis for at least part of COPD heterogeneity, have a substantial effect on COPD risk in aggregate, implicate early-life events in COPD pathogenesis, and often involve genes not previously suspected to have a role in COPD. Additional progress will require larger genetic studies with more ancestral diversity, improved profiling of rare variants, and better statistical methods. Through integration of genetic data with other omics data and comprehensive COPD phenotypes, as well as functional description of causal mechanisms for genetic risk variants, COPD genetics will continue to inform novel approaches to understanding the pathobiology of COPD and developing new strategies for management and treatment.
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Affiliation(s)
- Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Brian D Hobbs
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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John C, Guyatt AL, Shrine N, Packer R, Olafsdottir TA, Liu J, Hayden LP, Chu SH, Koskela JT, Luan J, Li X, Terzikhan N, Xu H, Bartz TM, Petersen H, Leng S, Belinsky SA, Cepelis A, Hernández Cordero AI, Obeidat M, Thorleifsson G, Meyers DA, Bleecker ER, Sakoda LC, Iribarren C, Tesfaigzi Y, Gharib SA, Dupuis J, Brusselle G, Lahousse L, Ortega VE, Jonsdottir I, Sin DD, Bossé Y, van den Berge M, Nickle D, Quint JK, Sayers I, Hall IP, Langenberg C, Ripatti S, Laitinen T, Wu AC, Lasky-Su J, Bakke P, Gulsvik A, Hersh CP, Hayward C, Langhammer A, Brumpton B, Stefansson K, Cho MH, Wain LV, Tobin MD. Genetic Associations and Architecture of Asthma-COPD Overlap. Chest 2022; 161:1155-1166. [PMID: 35104449 PMCID: PMC9131047 DOI: 10.1016/j.chest.2021.12.674] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 11/17/2021] [Accepted: 12/21/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Some people have characteristics of both asthma and COPD (asthma-COPD overlap), and evidence suggests they experience worse outcomes than those with either condition alone. RESEARCH QUESTION What is the genetic architecture of asthma-COPD overlap, and do the determinants of risk for asthma-COPD overlap differ from those for COPD or asthma? STUDY DESIGN AND METHODS We conducted a genome-wide association study in 8,068 asthma-COPD overlap case subjects and 40,360 control subjects without asthma or COPD of European ancestry in UK Biobank (stage 1). We followed up promising signals (P < 5 × 10-6) that remained associated in analyses comparing (1) asthma-COPD overlap vs asthma-only control subjects, and (2) asthma-COPD overlap vs COPD-only control subjects. These variants were analyzed in 12 independent cohorts (stage 2). RESULTS We selected 31 independent variants for further investigation in stage 2, and discovered eight novel signals (P < 5 × 10-8) for asthma-COPD overlap (meta-analysis of stage 1 and 2 studies). These signals suggest a spectrum of shared genetic influences, some predominantly influencing asthma (FAM105A, GLB1, PHB, TSLP), others predominantly influencing fixed airflow obstruction (IL17RD, C5orf56, HLA-DQB1). One intergenic signal on chromosome 5 had not been previously associated with asthma, COPD, or lung function. Subgroup analyses suggested that associations at these eight signals were not driven by smoking or age at asthma diagnosis, and in phenome-wide scans, eosinophil counts, atopy, and asthma traits were prominent. INTERPRETATION We identified eight signals for asthma-COPD overlap, which may represent loci that predispose to type 2 inflammation, and serious long-term consequences of asthma.
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Affiliation(s)
- Catherine John
- Department of Health Sciences, University of Leicester, Leicester, England.
| | - Anna L Guyatt
- Department of Health Sciences, University of Leicester, Leicester, England
| | - Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, England
| | - Richard Packer
- Department of Health Sciences, University of Leicester, Leicester, England
| | | | - Jiangyuan Liu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Lystra P Hayden
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Su H Chu
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jukka T Koskela
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, England
| | - Xingnan Li
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Hanfei Xu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine and Department of Biostatistics, University of Washington, Seattle, WA
| | - Hans Petersen
- Lovelace Respiratory Research Institute, Albuquerque, NM
| | - Shuguang Leng
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM
| | | | - Aivaras Cepelis
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Levanger, Norway
| | | | - Ma'en Obeidat
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Gudmar Thorleifsson
- deCODE Genetics/Amgen, Reykjavik, Iceland; Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ
| | - Eugene R Bleecker
- Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA
| | - Carlos Iribarren
- Division of Research, Kaiser Permanente of Northern California, Oakland, CA
| | | | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology and UW Medicine Sleep Center, Medicine, University of Washington, Seattle, WA
| | - Josée Dupuis
- Cardiovascular Health Research Unit, Department of Medicine and Department of Biostatistics, University of Washington, Seattle, WA
| | - Guy Brusselle
- Department of Biostatistics, Boston University School of Public Health, Boston, MA; Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Bioanalysis, Ghent University, Ghent, Belgium
| | - Victor E Ortega
- Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Ingileif Jonsdottir
- deCODE Genetics/Amgen, Reykjavik, Iceland; Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Don D Sin
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada
| | - Yohan Bossé
- Institut Universitaire de Cardiologie et de Pneumologie de Québec, Laval University, Quebec, QC, Canada
| | - Maarten van den Berge
- Department of Pulmonology, University Medical Center Groningen, University of Groningen, and GRIAC Research Institute, Groningen, the Netherlands
| | - David Nickle
- Global Health, University of Washington, Seattle, WA; Gossamer Bio, San Diego, CA
| | - Jennifer K Quint
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Ian Sayers
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, England; Biodiscovery Institute, University of Nottingham, Nottingham, England
| | - Ian P Hall
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, England
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, England
| | - Samuli Ripatti
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland; Broad Institute of MIT and Harvard, Cambridge, MA
| | - Tarja Laitinen
- Division of Medicine, Department of Pulmonary Diseases, Turku University Hospital, Turku, Finland; Department of Pulmonary Diseases and Clinical Allergology, University of Turku, Turku, Finland
| | - Ann C Wu
- Center for Healthcare Research in Pediatrics (CHeRP) and PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Per Bakke
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Amund Gulsvik
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Arnulf Langhammer
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Levanger, Norway
| | - Ben Brumpton
- K. G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway; Clinic of Thoracic and Occupational Medicine, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland; Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Michael H Cho
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Louise V Wain
- Department of Health Sciences, University of Leicester, Leicester, England; Leicester NIHR Biomedical Research Centre, Leicester, England
| | - Martin D Tobin
- Department of Health Sciences, University of Leicester, Leicester, England; Leicester NIHR Biomedical Research Centre, Leicester, England
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28
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Correlations between Volumetric Capnography and Automated Quantitative Computed Tomography Analysis in Patients with Severe COPD. JOURNAL OF RESPIRATION 2022. [DOI: 10.3390/jor2010002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: In chronic obstructive pulmonary disease (COPD), morphological analysis made by computed tomography (CT) is usually correlated with spirometry as the main functional tool. In this study, quantitative CT analysis (QCT) was compared with volumetric capnography (VCap), alongside spirometry and the 6-min walk test (6MWT). Methods: Twenty-seven patients with severe/very severe COPD were included, compared with nineteen control subjects. All participants performed spirometry and chest high resolution CT scans that were analyzed with fully-automated software. The COPD group was also submitted to VCap and 6MWT. Results: COPD patients (65.07 ± 8.25 years) showed an average FEV1 of 1.2 L (44% of the predicted) and the control group (34.36 ± 8.78 years). VCap × QCT: positive correlations were observed with bronchial wall thickening and negative correlations with diameter and area of the bronchial lumen. Spirometry × QCT: positive correlations were observed between post-BD FVC, FEV1 and FEF 25–75% and diameter and luminal area of the airways and FVC and lung and vascular volumes (emphysema). Negative correlation was observed between post-BD FVC and FEV1 when compared with Pi10 (internal perimeter of 10 mm). 6MWT vs. QCT: negative correlations were observed between the distance covered with relative wall thickness (airways) and vascular volume and peripheral vascular volume (vasculature). Conclusion: Relevant correlations between QCT and pulmonary function variables were found, including the VCap, highlighting the importance of structural analysis in conjunction with a multidimensional functional assessment. This is the first study to correlate airway and parenchyma QCT with VCap.
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Moll M, Boueiz A, Ghosh AJ, Saferali A, Lee S, Xu Z, Yun JH, Hobbs BD, Hersh CP, Sin DD, Tal-Singer R, Silverman EK, Cho MH, Castaldi PJ. Development of a Blood-based Transcriptional Risk Score for Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 2022; 205:161-170. [PMID: 34739356 PMCID: PMC8787248 DOI: 10.1164/rccm.202107-1584oc] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 11/03/2021] [Indexed: 01/17/2023] Open
Abstract
Rationale: The ability of peripheral blood biomarkers to assess chronic obstructive pulmonary disease (COPD) risk and progression is unknown. Genetics and gene expression may capture important aspects of COPD-related biology that predict disease activity. Objectives: Develop a transcriptional risk score (TRS) for COPD and assess the contribution of the TRS and a polygenic risk score (PRS) for disease susceptibility and progression. Methods: We randomly split 2,569 COPDGene (Genetic Epidemiology of COPD) participants with whole-blood RNA sequencing into training (n = 1,945) and testing (n = 624) samples and used 468 ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points) COPD cases with microarray data for replication. We developed a TRS using penalized regression (least absolute shrinkage and selection operator) to model FEV1/FVC and studied the predictive value of TRS for COPD (Global Initiative for Chronic Obstructive Lung Disease 2-4), prospective FEV1 change (ml/yr), and additional COPD-related traits. We adjusted for potential confounders, including age and smoking. We evaluated the predictive performance of the TRS in the context of a previously derived PRS and clinical factors. Measurements and Main Results: The TRS included 147 transcripts and was associated with COPD (odds ratio, 3.3; 95% confidence interval [CI], 2.4-4.5; P < 0.001), FEV1 change (β, -17 ml/yr; 95% CI, -28 to -6.6; P = 0.002), and other COPD-related traits. In ECLIPSE cases, we replicated the association with FEV1 change (β, -8.2; 95% CI, -15 to -1; P = 0.025) and the majority of other COPD-related traits. Models including PRS, TRS, and clinical factors were more predictive of COPD (area under the receiver operator characteristic curve, 0.84) and annualized FEV1 change compared with models with one risk score or clinical factors alone. Conclusions: Blood transcriptomics can improve prediction of COPD and lung function decline when added to a PRS and clinical risk factors.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Adel Boueiz
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Auyon J. Ghosh
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | | | - Sool Lee
- Channing Division of Network Medicine
- Department of Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, North Carolina
| | | | - Jeong H. Yun
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Brian D. Hobbs
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Craig P. Hersh
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Don D. Sin
- Centre for Heart Lung Innovation, St. Paul’s Hospital, Vancouver, British Columbia, Canada
- Respiratory Division, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; and
| | | | - Edwin K. Silverman
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Michael H. Cho
- Channing Division of Network Medicine
- Division of Pulmonary and Critical Care Medicine, and
| | - Peter J. Castaldi
- Channing Division of Network Medicine
- Division of General Internal Medicine and Primary Care, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
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30
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Kim W, Moll M, Qiao D, Hobbs BD, Shrine N, Sakornsakolpat P, Tobin MD, Dudbridge F, Wain LV, Ladd-Acosta C, Chatterjee N, Silverman EK, Cho MH, Beaty TH. Interaction of Cigarette Smoking and Polygenic Risk Score on Reduced Lung Function. JAMA Netw Open 2021; 4:e2139525. [PMID: 34913977 PMCID: PMC8678715 DOI: 10.1001/jamanetworkopen.2021.39525] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE The risk of airflow limitation and chronic obstructive pulmonary disease (COPD) is influenced by combinations of cigarette smoking and genetic susceptibility, yet it remains unclear whether gene-by-smoking interactions are associated with quantitative measures of lung function. OBJECTIVE To assess the interaction of cigarette smoking and polygenic risk score in association with reduced lung function. DESIGN, SETTING, AND PARTICIPANTS This UK Biobank cohort study included UK citizens of European ancestry aged 40 to 69 years with genetic and spirometry data passing quality control metrics. Data was analyzed from July 2020 to March 2021. EXPOSURES PRS of combined forced expiratory volume in 1 second (FEV1) and percent of forced vital capacity exhaled in the first second (FEV1/FVC), self-reported pack-years of smoking, ever- vs never-smoking status, and current- vs former- or never-smoking status. MAIN OUTCOMES AND MEASURES FEV1/FVC was the primary outcome. Models were used to test for interactions with models, including the main effects of PRS, different smoking variables, and their cross-product terms. The association between pack-years of smoking and FEV1/FVC were compared for those in the highest vs lowest decile of estimated genetic risk for low lung function. RESULTS We included 319 730 individuals, of whom 24 915 (8%) had moderate-to-severe COPD cases, and 44.4% were men. Participants had a mean (SD) age 56.5 of (8.02) years. The PRS and pack-years were significantly associated with lower FEV1/FVC (PRS: β, -0.03; 95% CI, -0.031 to -0.03; pack-years: β, -0.0064; 95% CI, -0.0064 to -0.0063) and the interaction term (β, -0.0028; 95% CI, -0.0029 to -0.0026). A stepwise increment in estimated effect sizes for these interaction terms was observed per 10 pack-years of smoking exposure. The interaction of PRS with 11 to 20, 31 to 40, and more than 50 pack-years categories were β (interaction) -0.0038 (95% CI, -0.0046 to -0.0031); -0.013 (95% CI, -0.014 to -0.012); and -0.017 (95% CI, -0.019 to -0.016), respectively. There was evidence of significant interaction between PRS with ever- or never- smoking status (β, interaction; -0.0064; 95% CI, -0.0068 to -0.0060) and current or not-current smoking (β, interaction; -0.0091; 95% CI, -0.0097 to -0.0084). For any given level of pack-years of smoking exposure, FEV1/FVC was significantly lower for individuals in the tenth decile (ie, highest risk) than the first decile (ie, lowest risk) of genetic risk. For every 20 pack-years of smoking, those in the tenth decile compared with the first decile of genetic risk showed nearly a 2-fold reduction in FEV1/FVC. CONCLUSIONS AND RELEVANCE COPD is characterized by diminished lung function, and our analyses suggest there is substantial interaction between genome-wide PRS and smoking exposures. While smoking was associated with decreased lung function across all genetic risk categories, the associations were strongest in individuals with higher estimated genetic risk.
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Affiliation(s)
- Woori Kim
- Systems Biology and Computer Science Program, Ann Romney Center for Neurological Diseases, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - 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
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, 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
| | - Nick Shrine
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Phuwanat Sakornsakolpat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - 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
| | - Frank Dudbridge
- Department of Health Sciences, University of Leicester, 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
| | - Christine Ladd-Acosta
- Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland
| | - Edwin K. Silverman
- 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
| | - 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
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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Wilke RA, Larson EA. Air, Land, and Sea: Gene-Environment Interaction in Chronic Disease. Am J Med 2021; 134:1476-1482. [PMID: 34343516 PMCID: PMC8922305 DOI: 10.1016/j.amjmed.2021.07.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 06/29/2021] [Accepted: 07/05/2021] [Indexed: 11/28/2022]
Abstract
Each of us reflects a unique convergence of DNA and the environment. Over the past 2 decades, huge biobanks linked to electronic medical records have positioned the clinical and scientific communities to understand the complex genetic architecture underlying many common diseases. Although these efforts are producing increasingly accurate gene-based risk prediction algorithms for use in routine clinical care, the algorithms often fail to include environmental factors. This review explores the concept of heritability (genetic vs nongenetic determinants of disease), with emphasis on the role of environmental factors as risk determinants for common complex diseases influenced by air and water quality. Efforts to define patient exposure to specific toxicants in practice-based data sets will deepen our understanding of diseases with low heritability, and improved land management practices will reduce the burden of disease.
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Affiliation(s)
- Russell A Wilke
- Professor and Vice Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls; Professor and Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls.
| | - Eric A Larson
- Professor and Vice Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls; Professor and Chair, Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls
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Association between genetic polymorphisms of miRNAs (miR-8079 and miR-5007) and susceptibility of chronic obstructive pulmonary disease in Chinese people. Microb Pathog 2021; 160:105160. [PMID: 34455057 DOI: 10.1016/j.micpath.2021.105160] [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: 04/13/2021] [Revised: 07/02/2021] [Accepted: 08/20/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) has been recognized as a heterogeneous disease, which is caused by biological heterogeneity. The purpose of our study is to determine the association between the single nucleotide polymorphisms (SNPs) of miRNAs (miR-8079 and miR-5007) and the susceptibility to COPD in Chinese population. METHODS We conducted a 'case-control' study involving 315 COPD patients and 314 healthy individuals. Three SNPs of miR-8079 (rs9533803, rs9525927, rs7981875) and three SNPs of miR-5007 (rs9527345, rs2252932, rs2997119) were selected, then we used logistic regression to analyze the association between candidate SNPs and COPD susceptibility under different genetic models. Multi-factor dimensionality reduction (MDR) was used to analyze the interaction of "SNP-SNP" in COPD risk studies. Finally, we used univariate and ANOVA to analyze the differences in clinical characteristics among different genotypes. RESULTS Our results showed that miR-8079-rs9525927 was significant associated with COPD susceptibility whether in overall and stratified analysis. miR-5007-rs2997119 was associated with the increased risk of COPD in women under multiple genetic models; miR-8079-rs9525927 and miR-5007-rs9527345 had a certain association with clinical indicator Fev_1 of COPD patients; rs9527345 or rs2252932 on miR-5007 was associated with the risk of COPD with wheezing dyspnea or wheezing. CONCLUSION Our results suggested that the genetic polymorphisms of miR-8079 or miR-5007 were potentially associated with COPD risk, of which miR-8079-rs9525927 was more prominent.
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Sin S, Choi HM, Lim J, Kim J, Bak SH, Choi SS, Park J, Lee JH, Oh YM, Lee MK, Hobbs BD, Cho MH, Silverman EK, Kim WJ. A genome-wide association study of quantitative computed tomographic emphysema in Korean populations. Sci Rep 2021; 11:16692. [PMID: 34404834 PMCID: PMC8371078 DOI: 10.1038/s41598-021-95887-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 06/28/2021] [Indexed: 11/18/2022] Open
Abstract
Emphysema is an important feature of chronic obstructive pulmonary disease (COPD). Genetic factors likely affect emphysema pathogenesis, but this question has predominantly been studied in those of European ancestry. In this study, we sought to determine genetic components of emphysema severity and characterize the potential function of the associated loci in Korean population. We performed a genome-wide association study (GWAS) on quantitative emphysema in subjects with or without COPD from two Korean COPD cohorts. We investigated the functional consequences of the loci using epigenetic annotation and gene expression data. We also compared our GWAS results with an epigenome-wide association study and previous differential gene expression analysis. In total, 548 subjects (476 [86.9%] male) including 514 COPD patients were evaluated. We identified one genome-wide significant SNP (P < 5.0 × 10-8), rs117084279, near PIBF1. We identified an additional 57 SNPs (P < 5.0 × 10-6) associated with emphysema in all subjects, and 106 SNPs (P < 5.0 × 10-6) in COPD patients. Of these candidate SNPs, 2 (rs12459249, rs11667314) near CYP2A6 were expression quantitative trait loci in lung tissue and a SNP (rs11214944) near NNMT was an expression quantitative trait locus in whole blood. Of note, rs11214944 was in linkage disequilibrium with variants in enhancer histone marks in lung tissue. Several genes near additional SNPs were identified in our previous EWAS study with nominal level of significance. We identified a novel SNP associated with quantitative emphysema on CT. Including the novel SNP, several candidate SNPs in our study may provide clues to the genetic etiology of emphysema in Asian populations. Further research and validation of the loci will help determine the genetic factors for the development of emphysema.
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Affiliation(s)
- Sooim Sin
- grid.412010.60000 0001 0707 9039Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Hye-Mi Choi
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jiwon Lim
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jeeyoung Kim
- grid.412010.60000 0001 0707 9039Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - So Hyeon Bak
- grid.412010.60000 0001 0707 9039Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Republic of Korea
| | - Sun Shim Choi
- grid.412010.60000 0001 0707 9039Division of Biomedical Convergence, College of Biomedical Science, and Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jinkyeong Park
- grid.470090.a0000 0004 1792 3864Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Jin Hwa Lee
- grid.255649.90000 0001 2171 7754Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
| | - Yeon-Mok Oh
- grid.267370.70000 0004 0533 4667Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Mi Kyeong Lee
- grid.280664.e0000 0001 2110 5790Epidemiology Branch, Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC USA
| | - Brian D. Hobbs
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Michael H. Cho
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Edwin K. Silverman
- grid.38142.3c000000041936754XChanning Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA USA
| | - Woo Jin Kim
- Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, Republic of Korea.
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34
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Understanding the genetics of chronic obstructive pulmonary disease, α1-antitrypsin deficiency, and implications for clinical practice. J Am Assoc Nurse Pract 2021; 33:576-579. [PMID: 34397750 DOI: 10.1097/jxx.0000000000000627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 05/12/2021] [Indexed: 10/20/2022]
Abstract
ABSTRACT Cigarette smoking and poor air quality are the greatest risk factors for developing chronic obstructive pulmonary disease (COPD), but growing evidence indicates that genetic factors also affect predisposition to and clinical expression of disease. With the exception of α1-antitrypsin deficiency (AATD), a rare autosomal recessive disorder that is present in 1-3% of individuals with COPD, no single gene is associated with the development of obstructive lung disease. Instead, a complex interplay of genetic, epigenetic, and environmental factors is the basis for persistent inflammatory responses, accelerated cell aging, cell death, and fibrosis, leading to the clinical symptoms of COPD and different phenotypic presentations. In this brief review, we discuss current understanding of the genetics of COPD, pathogenetics of AATD, epigenetic influences on the development of obstructive lung disease, and how classifying COPD by phenotype can influence clinical treatment and patient outcomes.
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35
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Szalontai K, Gémes N, Furák J, Varga T, Neuperger P, Balog JÁ, Puskás LG, Szebeni GJ. Chronic Obstructive Pulmonary Disease: Epidemiology, Biomarkers, and Paving the Way to Lung Cancer. J Clin Med 2021; 10:jcm10132889. [PMID: 34209651 PMCID: PMC8268950 DOI: 10.3390/jcm10132889] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/24/2021] [Accepted: 06/24/2021] [Indexed: 12/16/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), the frequently fatal pathology of the respiratory tract, accounts for half a billion cases globally. COPD manifests via chronic inflammatory response to irritants, frequently to tobacco smoke. The progression of COPD from early onset to advanced disease leads to the loss of the alveolar wall, pulmonary hypertension, and fibrosis of the respiratory epithelium. Here, we focus on the epidemiology, progression, and biomarkers of COPD with a particular connection to lung cancer. Dissecting the cellular and molecular players in the progression of the disease, we aim to shed light on the role of smoking, which is responsible for the disease, or at least for the more severe symptoms and worse patient outcomes. We summarize the inflammatory conditions, as well as the role of EMT and fibroblasts in establishing a cancer-prone microenvironment, i.e., the soil for ‘COPD-derived’ lung cancer. We highlight that the major health problem of COPD can be alleviated via smoking cessation, early diagnosis, and abandonment of the usage of biomass fuels on a global basis.
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Affiliation(s)
- Klára Szalontai
- Csongrád County Hospital of Chest Diseases, Alkotmány u. 36., H6772 Deszk, Hungary;
| | - Nikolett Gémes
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62., H6726 Szeged, Hungary; (N.G.); (T.V.); (P.N.); (J.Á.B.); (L.G.P.)
- PhD School in Biology, University of Szeged, H6726 Szeged, Hungary
| | - József Furák
- Department of Surgery, University of Szeged, Semmelweis u. 8., H6725 Szeged, Hungary;
| | - Tünde Varga
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62., H6726 Szeged, Hungary; (N.G.); (T.V.); (P.N.); (J.Á.B.); (L.G.P.)
| | - Patrícia Neuperger
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62., H6726 Szeged, Hungary; (N.G.); (T.V.); (P.N.); (J.Á.B.); (L.G.P.)
- PhD School in Biology, University of Szeged, H6726 Szeged, Hungary
| | - József Á. Balog
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62., H6726 Szeged, Hungary; (N.G.); (T.V.); (P.N.); (J.Á.B.); (L.G.P.)
- PhD School in Biology, University of Szeged, H6726 Szeged, Hungary
| | - László G. Puskás
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62., H6726 Szeged, Hungary; (N.G.); (T.V.); (P.N.); (J.Á.B.); (L.G.P.)
- Avicor Ltd. Alsó Kikötő sor 11/D, H6726 Szeged, Hungary
| | - Gábor J. Szebeni
- Laboratory of Functional Genomics, Biological Research Centre, Temesvári krt. 62., H6726 Szeged, Hungary; (N.G.); (T.V.); (P.N.); (J.Á.B.); (L.G.P.)
- Department of Physiology, Anatomy and Neuroscience, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, H6726 Szeged, Hungary
- CS-Smartlab Devices Ltd., Ady E. u. 14., H7761 Kozármisleny, Hungary
- Correspondence:
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Gong M, Liu P, Sciurba FC, Stojanov P, Tao D, Tseng GC, Zhang K, Batmanghelich K. Unpaired data empowers association tests. Bioinformatics 2021; 37:785-792. [PMID: 33070196 PMCID: PMC8098021 DOI: 10.1093/bioinformatics/btaa886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 09/07/2020] [Accepted: 10/05/2020] [Indexed: 11/25/2022] Open
Abstract
Motivation There is growing interest in the biomedical research community to incorporate retrospective data, available in healthcare systems, to shed light on associations between different biomarkers. Understanding the association between various types of biomedical data, such as genetic, blood biomarkers, imaging, etc. can provide a holistic understanding of human diseases. To formally test a hypothesized association between two types of data in Electronic Health Records (EHRs), one requires a substantial sample size with both data modalities to achieve a reasonable power. Current association test methods only allow using data from individuals who have both data modalities. Hence, researchers cannot take advantage of much larger EHR samples that includes individuals with at least one of the data types, which limits the power of the association test. Results We present a new method called the Semi-paired Association Test (SAT) that makes use of both paired and unpaired data. In contrast to classical approaches, incorporating unpaired data allows SAT to produce better control of false discovery and to improve the power of the association test. We study the properties of the new test theoretically and empirically, through a series of simulations and by applying our method on real studies in the context of Chronic Obstructive Pulmonary Disease. We are able to identify an association between the high-dimensional characterization of Computed Tomography chest images and several blood biomarkers as well as the expression of dozens of genes involved in the immune system. Availability and implementation Code is available on https://github.com/batmanlab/Semi-paired-Association-Test. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Mingming Gong
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206, USA.,Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213, USA.,School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Peng Liu
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206, USA
| | - Frank C Sciurba
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206, USA
| | - Petar Stojanov
- Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Dacheng Tao
- Australia School of Computer Science, The University of Sydney, Sydney, NSW 2006, Australia
| | - George C Tseng
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206, USA
| | - Kun Zhang
- Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Kayhan Batmanghelich
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206, USA
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37
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Li L, Liu Y, Chiu C, Jin Y, Zhou W, Peng M, Chen LC, Sun Q, Gao J. A Regulatory Role of Chemokine Receptor CXCR3 in the Pathogenesis of Chronic Obstructive Pulmonary Disease and Emphysema. Inflammation 2021; 44:985-998. [PMID: 33415536 DOI: 10.1007/s10753-020-01393-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 02/11/2020] [Accepted: 12/03/2020] [Indexed: 10/22/2022]
Abstract
Chronic obstructive pulmonary disease (COPD)/pulmonary emphysema is driven by the dysregulated airway inflammation and primarily influenced by the interaction between cigarette smoking (CS) and the individual's susceptibility. The inflammation in COPD involves both innate and adaptive immunity. By binding to its specific ligands, chemokine receptor CXCR3 plays an important role in regulating tissue inflammation and damage. In acute animal model challenged with either CS or pathogens, CXCR3 knockout (KO) attenuated lung inflammation and pathology. However, the role of CXCR3 in CS-induced chronic airway inflammation and pulmonary emphysema remains unknown. In this present study, we investigated the effect of CXCR3 in CS-induced pulmonary emphysema in an animal model, and the association between CXCR3 single nucleotide polymorphisms (SNPs) and COPD susceptibility in human subjects. We found that after chronic exposure to side stream CS (SSCS) for 24 weeks, CXCR3 KO mice demonstrated significant airspace enlargement expressed by mean linear intercept (Lm) compared with the wild-type (WT) mice. Consistently, CXCR3 KO mice had significantly higher BAL fluid macrophages and neutrophils, TNFα, and lung homogenate MMP-9 and MMP-12. Through genetic analysis of CXCR3 polymorphisms in a cohort of COPD patients with Han Chinese ethnicity, one CXCR3 SNP, rs2280964, was found to be genetically related to COPD susceptibility. Furthermore, CXCR3 SNP rs2280964 was significantly associated with the levels of serum MMP-9 in COPD patients. Our data from both animal and human studies revealed a novel role of CXCR3 possibly via influencing MMP9 production in the pathogenesis and progression of CS-associated COPD/pulmonary emphysema.
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MESH Headings
- Adult
- Aged
- Animals
- Case-Control Studies
- China
- Disease Models, Animal
- Female
- Genetic Association Studies
- Genetic Predisposition to Disease
- Humans
- Lung/immunology
- Lung/metabolism
- Lung/pathology
- Macrophages, Alveolar/immunology
- Macrophages, Alveolar/metabolism
- Male
- Matrix Metalloproteinase 12/metabolism
- Matrix Metalloproteinase 9/metabolism
- Mice, Inbred C57BL
- Mice, Knockout
- Middle Aged
- Neutrophils/immunology
- Neutrophils/metabolism
- Phenotype
- Polymorphism, Single Nucleotide
- Pulmonary Disease, Chronic Obstructive/genetics
- Pulmonary Disease, Chronic Obstructive/immunology
- Pulmonary Disease, Chronic Obstructive/metabolism
- Pulmonary Disease, Chronic Obstructive/pathology
- Pulmonary Emphysema/genetics
- Pulmonary Emphysema/immunology
- Pulmonary Emphysema/metabolism
- Pulmonary Emphysema/pathology
- Receptors, CXCR3/genetics
- Receptors, CXCR3/metabolism
- Tumor Necrosis Factor-alpha/metabolism
- Mice
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Affiliation(s)
- Lun Li
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, #1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Yi Liu
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, #1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China
- Department of Respiratory Medicine, Civil Aviation General Hospital, Beijing, 100123, China
| | - Chin Chiu
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, NY, USA
| | - Yang Jin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Boston University Medical Campus, Boston, MA, USA
| | - Weixun Zhou
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China
| | - Min Peng
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, #1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - Lung-Chi Chen
- Department of Environmental Medicine, New York University School of Medicine, Tuxedo, NY, USA
| | - Qinghua Sun
- Division of Environmental Health Sciences, College of Public Health, the Ohio State University, Columbus, OH, USA
| | - Jinming Gao
- Department of Pulmonary and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, #1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
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38
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Martucci VL, Richmond B, Davis LK, Blackwell TS, Cox NJ, Samuels D, Velez Edwards D, Aldrich MC. Fate or coincidence: do COPD and major depression share genetic risk factors? Hum Mol Genet 2021; 30:619-628. [PMID: 33704461 DOI: 10.1093/hmg/ddab068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 02/24/2021] [Accepted: 02/27/2021] [Indexed: 01/12/2023] Open
Abstract
Major depressive disorder (MDD) is a common comorbidity in chronic obstructive pulmonary disease (COPD), affecting up to 57% of patients with COPD. Although the comorbidity of COPD and MDD is well established, the causal relationship between these two diseases is unclear. A large-scale electronic health record clinical biobank and genome-wide association study summary statistics for MDD and lung function traits were used to investigate potential shared underlying genetic susceptibility between COPD and MDD. Linkage disequilibrium score regression was used to estimate genetic correlation between phenotypes. Polygenic risk scores (PRS) for MDD and lung function traits were developed and used to perform a phenome-wide association study (PheWAS). Multi-trait-based conditional and joint analysis identified single-nucleotide polymorphisms (SNPs) influencing both lung function and MDD. We found genetic correlations between MDD and all lung function traits were small and not statistically significant. A PRS-MDD was significantly associated with an increased risk of COPD in a PheWAS [odds ratio (OR) = 1.12, 95% confidence interval (CI): 1.09-1.16] when adjusting for age, sex and genetic ancestry, but this relationship became attenuated when controlling for smoking history (OR = 1.08, 95% CI: 1.04-1.13). No significant associations were found between the lung function PRS and MDD. Multi-trait-based conditional and joint analysis identified three SNPs that may contribute to both traits, two of which were previously associated with mood disorders and COPD. Our findings suggest that the observed relationship between COPD and MDD may not be driven by a strong shared genetic architecture.
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Affiliation(s)
- Victoria L Martucci
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Bradley Richmond
- Department of Veterans Affairs Medical Center, Nashville, TN 37212, USA.,Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Lea K Davis
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Timothy S Blackwell
- Department of Veterans Affairs Medical Center, Nashville, TN 37212, USA.,Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Nancy J Cox
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - David Samuels
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.,Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA
| | - Digna Velez Edwards
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.,Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Melinda C Aldrich
- Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA.,Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
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Mild catalytic defects of tert rs61748181 polymorphism affect the clinical presentation of chronic obstructive pulmonary disease. Sci Rep 2021; 11:4333. [PMID: 33619289 PMCID: PMC7900122 DOI: 10.1038/s41598-021-83686-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 02/03/2021] [Indexed: 11/29/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a disorder of accelerated lung aging. Multiple pieces of evidence support that the aging biomarker short telomeres, which can be caused by mutations in telomerase reverse transcriptase (TERT), contribute to COPD pathogenesis. We hypothesized that short telomere risk-associated single nucleotide polymorphisms (SNPs) in TERT, while not able to drive COPD development, nonetheless modify the disease presentation. We set out to test the SNP carrying status in a longitudinal study of smokers with COPD and found that rapid decline of FEV1 in lung function was associated with the minor allele of rs61748181 (adjusted odds ratio 2.49, p = 0.038). Biochemical evaluation of ex vivo engineered human cell models revealed that primary cells expressing the minor allele of rs61748181 had suboptimal telomere length maintenance due to reduced telomerase catalytic activity, despite having comparable cell growth kinetics as WT-TERT expressing cells. This ex vivo observation translated clinically in that shorter telomeres were found in minor allele carriers in a sub-population of COPD patients with non-declining lung function, over the 5-year period of the longitudinal study. Collectively, our data suggest that functional TERT SNPs with mild catalytic defects are nonetheless implicated in the clinical presentation of COPD.
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40
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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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41
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Moll M, Lutz SM, Ghosh AJ, Sakornsakolpat P, Hersh CP, Beaty TH, Dudbridge F, Tobin MD, Mittleman MA, Silverman EK, Hobbs BD, Cho MH. Relative contributions of family history and a polygenic risk score on COPD and related outcomes: COPDGene and ECLIPSE studies. BMJ Open Respir Res 2020; 7:e000755. [PMID: 33239407 PMCID: PMC7689586 DOI: 10.1136/bmjresp-2020-000755] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/01/2020] [Accepted: 10/03/2020] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Family history is a risk factor for chronic obstructive pulmonary disease (COPD). We previously developed a COPD risk score from genome-wide genetic markers (Polygenic Risk Score, PRS). Whether the PRS and family history provide complementary or redundant information for predicting COPD and related outcomes is unknown. METHODS We assessed the predictive capacity of family history and PRS on COPD and COPD-related outcomes in non-Hispanic white (NHW) and African American (AA) subjects from COPDGene and ECLIPSE studies. We also performed interaction and mediation analyses. RESULTS In COPDGene, family history and PRS were significantly associated with COPD in a single model (PFamHx <0.0001; PPRS<0.0001). Similar trends were seen in ECLIPSE. The area under the receiver operator characteristic curve for a model containing family history and PRS was significantly higher than a model with PRS (p=0.00035) in NHWs and a model with family history (p<0.0001) alone in NHWs and AAs. Both family history and PRS were significantly associated with measures of quantitative emphysema and airway thickness. There was a weakly positive interaction between family history and the PRS under the additive, but not multiplicative scale in NHWs (relative excess risk due to interaction=0.48, p=0.04). Mediation analyses found that a significant proportion of the effect of family history on COPD was mediated through PRS in NHWs (16.5%, 95% CI 9.4% to 24.3%), but not AAs. CONCLUSION Family history and the PRS provide complementary information for predicting COPD and related outcomes. Future studies can address the impact of obtaining both measures in clinical practice.
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Affiliation(s)
- Matthew Moll
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Sharon M Lutz
- PRecisiOn Medicine Translational Research (PROMoTeR) Center, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Harvard Pilgrim Health Care, Wellesley, Massachusetts, USA
| | - Auyon J Ghosh
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Phuwanat Sakornsakolpat
- Department of Medicine, Mahidol University Faculty of Medicine Siriraj Hospital, Bangkok, Bangkok, Thailand
| | - Craig P Hersh
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Terri H Beaty
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Frank Dudbridge
- Health Sciences, University of Leicester, Leicester, Leicestershire, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, Leicestershire, UK
- National Institute for Health Research Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Murray A Mittleman
- Harvard Medical School, Boston, Massachusetts, USA
- Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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42
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Zhao X, Qiao D, Yang C, Kasela S, Kim W, Ma Y, Shrine N, Batini C, Sofer T, Taliun SAG, Sakornsakolpat P, Balte PP, Prokopenko D, Yu B, Lange LA, Dupuis J, Cade BE, Lee J, Gharib SA, Daya M, Laurie CA, Ruczinski I, Cupples LA, Loehr LR, Bartz TM, Morrison AC, Psaty BM, Vasan RS, Wilson JG, Taylor KD, Durda P, Johnson WC, Cornell E, Guo X, Liu Y, Tracy RP, Ardlie KG, Aguet F, VanDenBerg DJ, Papanicolaou GJ, Rotter JI, Barnes KC, Jain D, Nickerson DA, Muzny DM, Metcalf GA, Doddapaneni H, Dugan-Perez S, Gupta N, Gabriel S, Rich SS, O'Connor GT, Redline S, Reed RM, Laurie CC, Daviglus ML, Preudhomme LK, Burkart KM, Kaplan RC, Wain LV, Tobin MD, London SJ, Lappalainen T, Oelsner EC, Abecasis GR, Silverman EK, Barr RG, Cho MH, Manichaikul A. Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. Nat Commun 2020; 11:5182. [PMID: 33057025 PMCID: PMC7598941 DOI: 10.1038/s41467-020-18334-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.
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Affiliation(s)
- Xutong Zhao
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Chaojie Yang
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Yanlin Ma
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - Nick Shrine
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Chiara Batini
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
| | - Tamar Sofer
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sarah A Gagliano Taliun
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Phuwanat Sakornsakolpat
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Pallavi P Balte
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Dmitry Prokopenko
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, UTHealth School of Public Health, Houston, TX, 77030, USA
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Sina A Gharib
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Cecelia A Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
| | - Laura R Loehr
- Department of Medicine, UNC School of Medicine, Chapel Hill, NC, 27599, USA
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Ramachandran S Vasan
- Boston University and the National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA, 01702, USA
- Department of Preventive Medicine and Epidemiology, Boston University School of Medicine and Public Health, Boston, MA, 02118, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - W Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Elaine Cornell
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, 05405, USA
| | | | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - David J VanDenBerg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - George J Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, The Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Deepti Jain
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Donna M Muzny
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ginger A Metcalf
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | | | - Shannon Dugan-Perez
- The Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stacey Gabriel
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA
| | - George T O'Connor
- Boston University School Of Medicine, Pulmonary Center, Boston, MA, 02118, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, 02115, USA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
| | - Robert M Reed
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | | | - Kristin M Burkart
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, 10461, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Louise V Wain
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, United Kingdom
- National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, LE3 9QP, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Durham, NC, 27709, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, 10013, USA
- Department of Systems Biology, Columbia University, New York, NY, 10032, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Goncalo R Abecasis
- Center for Statistical Genetics, and Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22908, USA.
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Bray MJ, Chen LS, Fox L, Hancock DB, Culverhouse RC, Hartz SM, Johnson EO, Liu M, McKay JD, Saccone NL, Hokanson JE, Vrieze SI, Tyndale RF, Baker TB, Bierut LJ. Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme. Genet Epidemiol 2020; 44:748-758. [PMID: 32803792 PMCID: PMC7793026 DOI: 10.1002/gepi.22331] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 05/14/2020] [Accepted: 06/18/2020] [Indexed: 12/17/2022]
Abstract
Smoking is a major contributor to lung cancer and chronic obstructive pulmonary disease (COPD). Two of the strongest genetic associations of smoking-related phenotypes are the chromosomal regions 15q25.1, encompassing the nicotinic acetylcholine receptor subunit genes CHRNA5-CHRNA3-CHRNB4, and 19q13.2, encompassing the nicotine metabolizing gene CYP2A6. In this study, we examined genetic relations between cigarettes smoked per day, smoking cessation, lung cancer, and COPD. Data consisted of genome-wide association study summary results. Genetic correlations were estimated using linkage disequilibrium score regression software. For each pair of outcomes, z-score-z-score (ZZ) plots were generated. Overall, heavier smoking and decreased smoking cessation showed positive genetic associations with increased lung cancer and COPD risk. The chromosomal region 19q13.2, however, showed a different correlational pattern. For example, the effect allele-C of the sentinel SNP (rs56113850) within CYP2A6 was associated with an increased risk of heavier smoking (z-score = 19.2; p = 1.10 × 10-81 ), lung cancer (z-score = 8.91; p = 5.02 × 10-19 ), and COPD (z-score = 4.04; p = 5.40 × 10-5 ). Surprisingly, this allele-C (rs56113850) was associated with increased smoking cessation (z-score = -8.17; p = 2.52 × 10-26 ). This inverse relationship highlights the need for additional investigation to determine how CYP2A6 variation could increase smoking cessation while also increasing the risk of lung cancer and COPD likely through increased cigarettes smoked per day.
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Affiliation(s)
- Michael J Bray
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Li-Shiun Chen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
- The Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Louis Fox
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics & Epidemiology Division, RTI International, Research Triangle Park, North Carolina
| | - Robert C Culverhouse
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
| | - Sarah M Hartz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Eric O Johnson
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics & Epidemiology Division, RTI International, Research Triangle Park, North Carolina
- Fellow Program, RTI International, Research Triangle Park, North Carolina
| | - Mengzhen Liu
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - James D McKay
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Nancy L Saccone
- Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - John E Hokanson
- Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Scott I Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota
| | - Rachel F Tyndale
- Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology & Toxicology, and Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Timothy B Baker
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
- The Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
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44
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Park B, An J, Kim W, Kang HY, Koh SB, Oh B, Jung KJ, Jee SH, Kim WJ, Cho MH, Silverman EK, Park T, Won S. Effect of 6p21 region on lung function is modified by smoking: a genome-wide interaction study. Sci Rep 2020; 10:13075. [PMID: 32753590 PMCID: PMC7403370 DOI: 10.1038/s41598-020-70092-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 07/15/2020] [Indexed: 11/10/2022] Open
Abstract
Smoking is a major risk factor for chronic obstructive pulmonary disease (COPD); however, more than 25% of COPD patients are non-smokers, and gene-by-smoking interactions are expected to affect COPD onset. We aimed to identify the common genetic variants interacting with pack-years of smoking on FEV1/FVC ratios in individuals with normal lung function. A genome-wide interaction study (GWIS) on FEV1/FVC was performed for individuals with FEV1/FVC ratio ≥ 70 in the Korea Associated Resource cohort data, and significant SNPs were validated using data from two other Korean cohorts. The GWIS revealed that rs10947231 and rs8192575 met genome-wide significant levels; For \documentclass[12pt]{minimal}
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\begin{document}$${\text{H}}_{0} :\beta_{SNP} = \beta_{SNP*pack - years} = 0{\text{ vs H}}_{1} : not {\text{H}}_{0} ,$$\end{document}H0:βSNP=βSNP∗pack-years=0vs H1:notH0, the likelihood ratio (LR) test was conducted, and its P values, PLR, for rs10947231 and rs8192575 were 2.23 × 10–12 and 1.18 × 10–8, respectively. Interaction between rs8192575 and smoking is significantly replicated with two additional data (PINT = 0.0454, 0.0131). Expression quantitative trait loci, topologically associated domains, and PrediXcan analyses revealed that rs8192575 is significantly associated with AGER expression. SNPs on the 6p21 region are associated with FEV1/FVC, and the effect of smoking on FEV1/FVC differs among the associated genotypes.
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Affiliation(s)
- Boram Park
- Department of Public Health Sciences, Seoul National University, Seoul, South Korea
| | - Jaehoon An
- Department of Public Health Sciences, Seoul National University, Seoul, South Korea
| | - Wonji Kim
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, South Korea
| | - Hae Yeon Kang
- Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, South Korea
| | - Sang Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, South Korea
| | - Bermseok Oh
- Department of Biochemistry and Molecular Biology, School of Medicine, Kyung Hee University, Seoul, South Korea
| | - Keum Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Sun Ha Jee
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Woo Jin Kim
- Department of Internal Medicine and Environmental Health Center, Kangwon National University Hospital, School of Medicine, Kangwon University, Chuncheon, South Korea
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Taesung Park
- Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, South Korea. .,Department of Statistics, Seoul National University, Seoul, South Korea.
| | - Sungho Won
- Department of Public Health Sciences, Seoul National University, Seoul, South Korea. .,Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, South Korea. .,Institute of Health and Environment, Seoul National University, Seoul, South Korea.
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45
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Stolz D. Chronic obstructive pulmonary disease risk: does genetics hold the answer? THE LANCET RESPIRATORY MEDICINE 2020; 8:653-654. [PMID: 32649916 DOI: 10.1016/s2213-2600(20)30191-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Daiana Stolz
- Clinic for Respiratory Medicine and Department of Biomedicine, University Hospital Basel, Basel 4031, Switzerland.
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46
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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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47
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Gim J, An J, Sung J, Silverman EK, Cho MH, Won S. A Between Ethnicities Comparison of Chronic Obstructive Pulmonary Disease Genetic Risk. Front Genet 2020; 11:329. [PMID: 32373161 PMCID: PMC7187688 DOI: 10.3389/fgene.2020.00329] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2018] [Accepted: 03/20/2020] [Indexed: 12/13/2022] Open
Abstract
Heterogeneity of lung function levels and risk for developing chronic obstructive pulmonary disease (COPD) among people exposed to the same environmental risk factors, such as cigarette smoking, suggest an important role of genetic factors in COPD susceptibility. To investigate the possible role of different genetic factors in COPD susceptibility across ethnicities. We used a population-stratified analysis for: (i) identifying ethnic-specific genetic susceptibility loci, (ii) developing ethnic-specific polygenic risk prediction models using those SNPs, and (iii) validating the models with an independent dataset. We elucidated substantial differences in SNP heritability and susceptibility loci for the disease across ethnicities. Furthermore, the application of three ethnic-specific prediction models to an independent dataset showed that the best performance is achieved when the prediction model is applied to a dataset with the matched ethnic sample. Our study validates the necessity of considering ethnic differences in COPD risk; understanding these differences might help in preventing COPD and developing therapeutic strategies.
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Affiliation(s)
- Jungsoo Gim
- Department of Biomedical Science, Chosun University, Gwangju, South Korea
| | - Jaehoon An
- Graduate School of Public Health, Seoul National University, Seoul, South Korea
| | - Joohon Sung
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea.,Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, South Korea.,Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Edwin K Silverman
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Sungho Won
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, South Korea.,Interdisciplinary Program of Bioinformatics, Seoul National University, Seoul, South Korea.,Institute of Health and Environment, Seoul National University, Seoul, South Korea
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48
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He D, Li J, Zhou B, Chen Y, Hui Q, Ye F, Zhang L, He X, Niu W, Zhang Q. A correlational meta-analytical study of transforming growth factor-β genetic polymorphisms as a risk factor for chronic obstructive pulmonary disease. Gene 2020; 744:144633. [PMID: 32240778 DOI: 10.1016/j.gene.2020.144633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 03/27/2020] [Accepted: 03/28/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Several studies have examined the association between transforming growth factor-β (TGF-β) genetic polymorphisms and chronic obstructive pulmonary disease (COPD) risk, but the results remained inconclusive and controversial. AIMS We aimed to examine the correlation between TGF-β genetic polymorphisms and COPD risk through a comprehensive meta-analysis. Additionally, changes in circulating TGF-β concentrations across genotypes of TGF-β genetic polymorphisms were analyzed. METHODS Literature search, quality assessment, and data extraction were completed independently and in duplicate. Data are expressed in odds ratio (OR) or weighted mean difference (WMD) with 95% confidence interval (CI). RESULTS A total of 12 articles, involving 14 independent studies and 7 170 participants, were meta-analyzed for the correlation of five polymorphisms (rs2241712, rs1800469, rs1982073, rs6957, and rs2241718) in TGF-β gene with COPD risk. Under the allele model, no statistical significance was observed for all polymorphisms associated with COPD risk. Subsidiary analyses indicated that country, COPD stage, and diagnosis of COPD were potential sources of between-study heterogeneity. Filled full plots revealed no missing studies for all studied polymorphisms, except rs1982073. Genotype-phenotype analyses showed that carriers of rs1800469 CT genotype had significantly higher concentrations of circulating TGF-β than those with CC genotype in COPD patients (WMD: 0.28 pg/ml, 95% CI: 0.01 to 0.56). CONCLUSION Our findings failed to support the candidacy of TGF-β gene in the development of COPD, whereas the contribution of TGF-β gene to COPD might be ethnicity- and stage-dependent.
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Affiliation(s)
- Danni He
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China; Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Jialin Li
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Bo Zhou
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Yuanmei Chen
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qin Hui
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Fang Ye
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Lipeng Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China; Graduate School, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xuge He
- Department of Urology, Anshan Cancer Hospital, Anshan, Liaoning Province, China.
| | - Wenquan Niu
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China.
| | - Qi Zhang
- Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China; National Clinical Research Center for Respiratory Diseases, Beijing, China.
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49
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Ragland MF, Benway CJ, Lutz SM, Bowler RP, Hecker J, Hokanson JE, Crapo JD, Castaldi PJ, DeMeo DL, Hersh CP, Hobbs BD, Lange C, Beaty TH, Cho MH, Silverman EK. Genetic Advances in Chronic Obstructive Pulmonary Disease. Insights from COPDGene. Am J Respir Crit Care Med 2020; 200:677-690. [PMID: 30908940 DOI: 10.1164/rccm.201808-1455so] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is a common and progressive disease that is influenced by both genetic and environmental factors. For many years, knowledge of the genetic basis of COPD was limited to Mendelian syndromes, such as alpha-1 antitrypsin deficiency and cutis laxa, caused by rare genetic variants. Over the past decade, the proliferation of genome-wide association studies, the accessibility of whole-genome sequencing, and the development of novel methods for analyzing genetic variation data have led to a substantial increase in the understanding of genetic variants that play a role in COPD susceptibility and COPD-related phenotypes. COPDGene (Genetic Epidemiology of COPD), a multicenter, longitudinal study of over 10,000 current and former cigarette smokers, has been pivotal to these breakthroughs in understanding the genetic basis of COPD. To date, over 20 genetic loci have been convincingly associated with COPD affection status, with additional loci demonstrating association with COPD-related phenotypes such as emphysema, chronic bronchitis, and hypoxemia. In this review, we discuss the contributions of the COPDGene study to the discovery of these genetic associations as well as the ongoing genetic investigations of COPD subtypes, protein biomarkers, and post-genome-wide association study analysis.
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Affiliation(s)
- Margaret F Ragland
- Division of Pulmonary Sciences and Critical Care Medicine, School of Medicine, and
| | | | | | | | - Julian Hecker
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts; and
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado
| | | | | | - Dawn L DeMeo
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Craig P Hersh
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Brian D Hobbs
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Christoph Lange
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts; and
| | - Terri H Beaty
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Michael H Cho
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Edwin K Silverman
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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50
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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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