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      Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell type and phenotype associations

      research-article
      1 , 2 , 51 , 1 , 3 , 51 , 4 , 5 , 5 , 5 , 5 , 1 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 1 , 13 , 10 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 1 , 24 , 25 , 26 , 27 , 14 , 28 , 29 , 30 , 31 , 32 , 10 , 12 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 17 , 43 , 22 , 23 , 44 , 1 , 4 , 45 , 46 , 47 , 48 , 18 , 1 , 24 , 22 , 23 , 5 , 49 , 5 , 49 , 1 , 24 , 52 , 1 , 24 , 52 , SpiroMeta Consortium 50 , International COPD Genetics Consortium 50
      Nature genetics
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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Chronic obstructive pulmonary disease (COPD) is the leading cause of respiratory mortality worldwide. Genetic risk loci provide novel insights into disease pathogenesis. We performed a genome-wide association study in 35,735 cases and 222,076 controls from the UK Biobank and additional studies from the International COPD Genetics Consortium. We identified 82 loci with P-value < 5 × 10 −8; 47 were previously described in association with either COPD or population-based lung function. Of the remaining 35 novel loci, 13 were associated with lung function in 79,055 individuals from the SpiroMeta consortium. Using gene expression and regulation data, we identified enrichment for loci in lung tissue, smooth muscle and several lung cell types. We found 14 COPD loci shared with either asthma or pulmonary fibrosis. COPD genetic risk loci clustered into groups of quantitative imaging features and comorbidity associations. Our analyses provide further support to the genetic susceptibility and heterogeneity of COPD.

          Editorial summary

          Genome-wide analysis of chronic obstructive pulmonary disease identifies 82 loci, 35 of which are new. Integration of gene expression and genomic annotation data shows enrichment of signals in lung tissue, smooth muscle and several lung cell types.

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          Most cited references127

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          Is Open Access

          Second-generation PLINK: rising to the challenge of larger and richer datasets

          PLINK 1 is a widely used open-source C/C++ toolset for genome-wide association studies (GWAS) and research in population genetics. However, the steady accumulation of data from imputation and whole-genome sequencing studies has exposed a strong need for even faster and more scalable implementations of key functions. In addition, GWAS and population-genetic data now frequently contain probabilistic calls, phase information, and/or multiallelic variants, none of which can be represented by PLINK 1's primary data format. To address these issues, we are developing a second-generation codebase for PLINK. The first major release from this codebase, PLINK 1.9, introduces extensive use of bit-level parallelism, O(sqrt(n))-time/constant-space Hardy-Weinberg equilibrium and Fisher's exact tests, and many other algorithmic improvements. In combination, these changes accelerate most operations by 1-4 orders of magnitude, and allow the program to handle datasets too large to fit in RAM. This will be followed by PLINK 2.0, which will introduce (a) a new data format capable of efficiently representing probabilities, phase, and multiallelic variants, and (b) extensions of many functions to account for the new types of information. The second-generation versions of PLINK will offer dramatic improvements in performance and compatibility. For the first time, users without access to high-end computing resources can perform several essential analyses of the feature-rich and very large genetic datasets coming into use.
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            Is Open Access

            UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

            Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.
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              Standardisation of spirometry.

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                Author and article information

                Journal
                9216904
                2419
                Nat Genet
                Nat. Genet.
                Nature genetics
                1061-4036
                1546-1718
                4 February 2019
                25 February 2019
                March 2019
                25 August 2019
                : 51
                : 3
                : 494-505
                Affiliations
                [1 ]Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA
                [2 ]Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
                [3 ]Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
                [4 ]Institut universitaire de cardiologie et de pneumologie de Québec, Québec, Canada
                [5 ]Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester, UK
                [6 ]Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
                [7 ]Department of Medicine, University of Washington, Seattle, WA, USA
                [8 ]Department of Biostatistics, University of Washington, Seattle, WA, USA
                [9 ]Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, South Korea
                [10 ]Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
                [11 ]Department of Neurology, Boston University School of Medicine, Boston, MA, USA
                [12 ]Department of Medicine, University of Arizona, Tucson, AZ
                [13 ]The University of British Columbia Center for Heart Lung Innovation, St Paul’s Hospital, Vancouver, BC, Canada
                [14 ]Department of Clinical Science, University of Bergen, Bergen, Norway
                [15 ]Department of Medicine, College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
                [16 ]Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
                [17 ]Lovelace Respiratory Research Institute, Albuquerque, NM, USA
                [18 ]Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
                [19 ]Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
                [20 ]Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
                [21 ]Department of Medicine, Division of Pulmonary and Critical Care Medicine, National Jewish Health, Denver, CO, USA
                [22 ]University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
                [23 ]University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, the Netherlands
                [24 ]Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
                [25 ]Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
                [26 ]Department of Biostatistics and Informatics, University of Colorado Denver, Aurora, CO, USA
                [27 ]Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Department of Medicine, University of Washington, Seattle, WA, USA
                [28 ]Division of Respiratory Medicine, Queen’s Medical Centre, University of Nottingham, Nottingham, UK
                [29 ]National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, UK
                [30 ]Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
                [31 ]Department of Internal Medicine and Environmental Health Center, School of Medicine, Kangwon National University, Chuncheon, South Korea
                [32 ]UCL Respiratory, University College London, London, UK
                [33 ]The National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
                [34 ]Pulmonary Center, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
                [35 ]Pulmonary, Critical Care, Sleep and Allergy Division, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
                [36 ]Clinical Discovery Unit, AstraZeneca, Cambridge, UK
                [37 ]Department of Medicine, School of Medicine, University of Colorado Denver, Aurora, CO, USA
                [38 ]Department of Immunology, School of Medicine, University of Colorado Denver, Aurora, CO, USA
                [39 ]2nd Department of Respiratory Medicine, Institute of Tuberculosis and Lung Diseases, Warsaw, Poland
                [40 ]VA Boston Healthcare System and Department of Medicine, Boston University School of Medicine, Boston, MA, USA
                [41 ]Population Health Research Institute, St. George’s University of London, London, UK
                [42 ]GSK R&D, Collegeville, PA, USA
                [43 ]School of Biological Sciences, University of Manchester, Manchester, UK
                [44 ]Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
                [45 ]Department of Molecular Medicine, Laval University, Québec, Canada
                [46 ]Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
                [47 ]Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
                [48 ]Department of Bioanalysis, Ghent University, Ghent, Belgium
                [49 ]National Institute for Health Research, Leicester Respiratory Biomedical Research Centre, Glenfield Hospital, Leicester, UK
                [50 ]A full list of authors appears at the end of the article
                [51 ]These authors contributed equally
                [52 ]These authors jointly supervised the work
                Author notes

                Author contributions

                P.S. contributed to the study concept and design, data analysis, and manuscript writing. D.P., B.D.H., M.H.C. contributed to the study concept and design, data analysis, statistical support, and manuscript writing. A.B.W., K.d.J., S.J.L., D.P.S. contributed to the study concept and design and data analysis. P.B., R.G.B., J.D.C., A.G., D.A.M., G.T.O., S.I.R., D.A.S., R.T.-S., Y.T., E.K.S. contributed to the study concept and design and data collection. T.H.B., J.E.H. contributed to the study concept and design and to statistical support. I.P.H., H.M.B., L.V.W., M.D.T. contributed to the study concept and design. All authors, including those whose initials are not listed above, contributed to the critical review and editing of the manuscript and approved the final version of the manuscript.

                Correspondence should be addressed to M.H.C. ( remhc@ 123456channing.harvard.edu ).
                Article
                NIHMS1517255
                10.1038/s41588-018-0342-2
                6546635
                30804561
                922c247d-7516-463c-b155-d7392fe63f5b

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