Multi-ethnic genome-wide association study for atrial fibrillation
Atrial fibrillation (AF) affects more than 33 million individuals worldwide 1 and has a complex heritability 2 . We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we...
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| Published in | Nature genetics Vol. 50; no. 9; pp. 1225 - 1233 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.09.2018
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1061-4036 1546-1718 1546-1718 |
| DOI | 10.1038/s41588-018-0133-9 |
Cover
| Abstract | Atrial fibrillation (AF) affects more than 33 million individuals worldwide
1
and has a complex heritability
2
. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.
This large, multi-ethnic genome-wide association study identifies 97 loci significantly associated with atrial fibrillation. These loci are enriched for genes involved in cardiac development, electrophysiology, structure and contractile function. |
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| AbstractList | Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate thedevelopment of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide and has a complex heritability . We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide.sup.1 and has a complex heritability.sup.2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide(1) and has a complex heritability(2). We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNAsequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide.sup.1 and has a complex heritability.sup.2. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. This large, multi-ethnic genome-wide association study identifies 97 loci significantly associated with atrial fibrillation. These loci are enriched for genes involved in cardiac development, electrophysiology, structure and contractile function. Atrial fibrillation (AF) affects over 33 million individuals worldwide 1 and has a complex heritability. 2 We conducted the largest meta-analysis of genome-wide association studies for AF to date, consisting of over half a million individuals including 65,446 with AF. In total, we identified 97 loci significantly associated with AF including 67 of which were novel in a combined-ancestry analysis, and 3 in a European specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait loci (eQTL) analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. Atrial fibrillation (AF) affects more than 33 million individuals worldwide 1 and has a complex heritability 2 . We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF. This large, multi-ethnic genome-wide association study identifies 97 loci significantly associated with atrial fibrillation. These loci are enriched for genes involved in cardiac development, electrophysiology, structure and contractile function. |
| Audience | Academic |
| Author | Psaty, Bruce M. Niemeijer, Maartje N. Weiss, Stefan Damrauer, Scott M. Svendsen, Jesper H. Lindgren, Cecilia M. Albert, Christine M. Rosand, Jonathan Dudley, Samuel C. Grewal, Raji P. Uitterlinden, Andre G. Esko, Tonu Laurikka, Jari Ellinor, Patrick T. Christophersen, Ingrid E. Pereira, Alexandre Jukema, J. Wouter Kane, John P. Pak, Hui-Nam Boerwinkle, Eric Zeller, Tanja Sotoodehnia, Nona Roselli, Carolina Lind, Lars Refsgaard, Lena Wiggins, Kerri L. Newton-Cheh, Christopher Lunetta, Kathryn L. Lin, Honghuang Weiss, Raul Nilsson, Peter Horimoto, Andrea R. V. R. Fatkin, Diane Heckbert, Susan R. Margulies, Kenneth B. Franco, Oscar H. Paré, Guillaume Porteous, David Zeng, Lingyao Macfarlane, Peter W. Huffman, Jennifer Pulit, Sara L. Teder-Laving, Maris Tveit, Arnljot Shaffer, Christian Soliman, Elsayed Z. Krieger, Jose E. Chen, Lin Y. Van Gelder, Isabelle C. Noordam, Raymond Pera, Joanna Sun, Albert Almgren, Peter Ipek, Esra Gucuk Van Wagoner, David R. Wells, Quinn S. März, Winfried Benjamin, Emelia J. Völker, Uwe Rosenberg, Michael A. Lyytikäinen |
| AuthorAffiliation | 141 Cardiology Division, Pittsburgh VA Healthcare System, Pittsburgh, Pennsylvania, USA 142 Korea University Anam Hospital, Seoul, Korea 34 Baltimore Veterans Affairs Medical Center, Department of Neurology, Baltimore, Maryland, USA 28 Division of Cardiovascular Medicine, University of Utah, Salt Lake City, Utah, USA 2 Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA 72 Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil 12 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 106 Division of Cardiology, University of California, San Francisco, California, USA 21 Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA 59 Dept. of Neuroscience, Saint Francis Medical Center, Trenton, New Jersey, USA 7 Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Den |
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German Research Center for Environmental Health, Neuherberg, Germany – name: 73 Boston VA Research Institute, Inc., Boston, Massachusetts, USA – name: 87 Department of Neurology, Medical University of Graz, Graz, Austria – name: 126 Division of Cardiovascular Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA – name: 118 Yonsei University Health System, Seoul, Korea – name: 116 Atrial Fibrillation NETwork, Muenster, Germany – name: 38 Maastricht University Medical Center+ and Cardiovascular Research Institute Maastricht, Department of Cardiology, Maastricht, The Netherlands – name: 41 University of Illinois Chicago, Chicago, Illinois, USA – name: 114 Department of Clinical Sciences, Lund University and Skåne University Hospital, Malmo, Sweden – name: 127 Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, Catalonia, Spain – name: 24 Johns Hopkins University, Baltimore, Maryland, USA – name: 106 Division of Cardiology, University of California, San Francisco, California, USA – name: 40 Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, Pennsylvania, USA – name: 137 Department of General and Interventional Cardiology, University Heart Centre Hamburg, Hamburg, Germany – name: 150 Department of Human Genetics and Disease Diversity, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, Tokyo, Japan – name: 19 Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA – name: 123 Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, Washington, USA – name: 21 Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA – name: 96 Division of Nephrology & Hypertension, Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA – name: 47 Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany – name: 83 Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - 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Tampere, Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland – name: 117 Institute of Cardiovascular and Medical Sciences, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, UK – name: 6 Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen. The Danish National Research Foundation Centre for Cardiac Arrhythmia, Copenhagen, Denmark – name: 3 University Hospital Basel, Basel, Switzerland – name: 119 Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Canada – name: 101 The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, New York, USA – name: 156 Division of Cardiology, Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada – name: 36 Population Health Research Institute, McMaster University, Hamilton, Canada – name: 54 St Vincent’s Hospital, Darlinghurst, New South Wales, Australia – name: 138 DZHK (German Centre for Cardiovascular Research), partner site: Hamburg/Kiel/Lübeck, Hamburg, Germany – name: 9 Department of Clinical Sciences, Lund University, Malmo, Sweden – name: 69 Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA – name: 121 Laboratory of Genetics and Molecular Biology, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil – name: 110 Texas Cardiac Arrhythmia Institute, St. David’s Medical Center, Austin, Texas, USA – name: 23 Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, USA – name: 30 Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, Minnesota, USA – name: 17 Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA – name: 26 Penn Cardiovascular Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA – name: 44 Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – name: 31 Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, California, USA – name: 130 University Institute of Clinical Chemistry, University of Bern, Switzerland – name: 148 Department of Epidemiology and Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands – name: 34 Baltimore Veterans Affairs Medical Center, Department of Neurology, Baltimore, Maryland, USA – name: 98 Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden – name: 88 Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK – name: 46 German Center for Neurodegenerative Diseases (DZNE), Munich, Germany – name: 133 J. 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F. orcidid: 0000-0002-8532-5087 surname: Loos fullname: Loos, Ruth J. F. organization: The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York – sequence: 107 givenname: Yingchang surname: Lu fullname: Lu, Yingchang organization: The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York – sequence: 108 givenname: Leo-Pekka orcidid: 0000-0002-7200-5455 surname: Lyytikäinen fullname: Lyytikäinen, Leo-Pekka organization: Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center–Tampere, Faculty of Medicine and Life Sciences, University of Tampere – sequence: 110 givenname: Patrik K. orcidid: 0000-0002-7315-7899 surname: Magnusson fullname: Magnusson, Patrik K. organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet – sequence: 112 givenname: Rainer surname: Malik fullname: Malik, Rainer organization: Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich – sequence: 113 givenname: Alfredo J. surname: Mansur fullname: Mansur, Alfredo J. organization: Heart Institute, University of São Paulo – sequence: 114 givenname: Gregory M. surname: Marcus fullname: Marcus, Gregory M. organization: Division of Cardiology, University of California, San Francisco – sequence: 117 givenname: Winfried surname: März fullname: März, Winfried organization: Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Synlab Academy, Synlab Services GmbH – sequence: 119 givenname: Olle surname: Melander fullname: Melander, Olle organization: Department of Internal Medicine, Clinical Sciences, Lund University – sequence: 124 givenname: Martina orcidid: 0000-0003-3793-5910 surname: Müller-Nurasyid fullname: Müller-Nurasyid, Martina organization: Department of Medicine I, University Hospital Munich, Ludwig-Maximilians-University, DZHK (German Centre for Cardiovascular Research), partner site: Munich Heart Alliance, Institute of Genetic Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health – sequence: 126 givenname: Saman surname: Nazarian fullname: Nazarian, Saman organization: University of Pennsylvania – sequence: 127 givenname: Benjamin surname: Neumann fullname: Neumann, Benjamin organization: Department of Medicine I, University Hospital Munich, Ludwig-Maximilians-University – sequence: 128 givenname: Christopher surname: Newton-Cheh fullname: Newton-Cheh, Christopher organization: Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Center for Genomic Medicine, Massachusetts General Hospital – sequence: 131 givenname: Peter surname: Nilsson fullname: Nilsson, Peter organization: Department of Clinical Sciences, Lund University and Skåne University Hospital – sequence: 132 givenname: Raymond surname: Noordam fullname: Noordam, Raymond organization: Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center – sequence: 133 givenname: Heidi surname: Oellers fullname: Oellers, Heidi organization: Atrial Fibrillation NETwork – sequence: 137 givenname: Hui-Nam surname: Pak fullname: Pak, Hui-Nam organization: Yonsei University Health System – sequence: 139 givenname: Nancy L. surname: Pedersen fullname: Pedersen, Nancy L. organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet – sequence: 143 givenname: Bruce M. surname: Psaty fullname: Psaty, Bruce M. organization: Kaiser Permanente Washington Health Research Institute, Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington – sequence: 144 givenname: Sara L. orcidid: 0000-0002-2502-3669 surname: Pulit fullname: Pulit, Sara L. organization: Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Department of Genetics, Center for Molecular Medicine, University Medical Centre Utrecht, Utrecht University, Li Ka Shing Center for Health Information and Discovery, Big Data Institute, Oxford University – sequence: 145 givenname: Clive R. surname: Pullinger fullname: Pullinger, Clive R. organization: Cardiovascular Research Institute, University of California, San Francisco – sequence: 148 givenname: Marta orcidid: 0000-0003-1039-1116 surname: Ribasés fullname: Ribasés, Marta organization: Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d’Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Department of Psychiatry, Hospital Universitari Vall d’Hebron, Biomedical Network Research Centre on Mental Health (CIBERSAM), Instituto de Salud Carlos III – sequence: 150 givenname: Michiel orcidid: 0000-0002-2581-070X surname: Rienstra fullname: Rienstra, Michiel organization: Department of Cardiology, University Medical Center Groningen, University of Groningen – sequence: 153 givenname: Jonathan surname: Rosand fullname: Rosand, Jonathan organization: Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Center for Genomic Medicine, Massachusetts General Hospital – sequence: 155 givenname: Natalia surname: Rost fullname: Rost, Natalia organization: Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital – sequence: 157 givenname: Samir surname: Saba fullname: Saba, Samir organization: Division of Cardiology, University of Pittsburgh – sequence: 160 givenname: Katharina surname: Schramm fullname: Schramm, Katharina organization: Department of Medicine I, University Hospital Munich, Ludwig-Maximilians-University, Institute of Genetic Epidemiology, Helmholtz Zentrum München–German Research Center for Environmental Health – sequence: 162 givenname: Claudia surname: Schurman fullname: Schurman, Claudia organization: The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, The Genetics of Obesity and Related Metabolic Traits Program, Icahn School of Medicine at Mount Sinai, New York – sequence: 163 givenname: Stuart A. orcidid: 0000-0001-5720-1864 surname: Scott fullname: Scott, Stuart A. organization: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York – sequence: 165 givenname: Christian surname: Shaffer fullname: Shaffer, Christian organization: Department of Medicine, Vanderbilt University Medical Center – sequence: 166 givenname: Svati surname: Shah fullname: Shah, Svati organization: Division of Cardiology, Department of Medicine, Duke University School of Medicine – sequence: 167 givenname: Alaa A. surname: Shalaby fullname: Shalaby, Alaa A. organization: Division of Cardiology, University of Pittsburgh, Cardiology Division, Pittsburgh VA Healthcare System – sequence: 168 givenname: Jaemin surname: Shim fullname: Shim, Jaemin organization: Korea University Anam Hospital – sequence: 169 givenname: M. Benjamin surname: Shoemaker fullname: Shoemaker, M. Benjamin organization: Department of Medicine, Vanderbilt University Medical Center – sequence: 172 givenname: Moritz F. surname: Sinner fullname: Sinner, Moritz F. organization: Department of Medicine I, University Hospital Munich, Ludwig-Maximilians-University, DZHK (German Centre for Cardiovascular Research), partner site: Munich Heart Alliance – sequence: 174 givenname: Albert V. orcidid: 0000-0003-1942-5845 surname: Smith fullname: Smith, Albert V. organization: Icelandic Heart Association, Faculty of Medicine, University of Iceland – sequence: 175 givenname: Blair H. orcidid: 0000-0002-5362-9430 surname: Smith fullname: Smith, Blair H. organization: Division of Population Health Sciences, University of Dundee – sequence: 183 givenname: Han surname: Sun fullname: Sun, Han organization: Departments of Cardiovascular Medicine, Cellular and Molecular Medicine, Molecular Cardiology, and Quantitative Health Sciences, Cleveland Clinic – sequence: 185 givenname: Toshihiro orcidid: 0000-0001-6201-9784 surname: Tanaka fullname: Tanaka, Toshihiro organization: Department of Human Genetics and Disease Diversity, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences – sequence: 186 givenname: Kahraman surname: Tanriverdi fullname: Tanriverdi, Kahraman organization: University of Massachusetts Medical School Worcester – sequence: 187 givenname: Kent D. surname: Taylor fullname: Taylor, Kent D. organization: Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center – sequence: 190 givenname: Sébastien surname: Thériault fullname: Thériault, Sébastien organization: Population Health Research Institute, McMaster University, Department of Pathology and Molecular Medicine, McMaster University – sequence: 191 givenname: Stella surname: Trompet fullname: Trompet, Stella organization: Department of Cardiology, Leiden University Medical Center, Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center – sequence: 192 givenname: Nathan R. orcidid: 0000-0002-5071-4218 surname: Tucker fullname: Tucker, Nathan R. organization: Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cardiovascular Research Center, Massachusetts General Hospital – sequence: 193 givenname: Arnljot surname: Tveit fullname: Tveit, Arnljot organization: Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, Institute of Clinical Medicine, University of Oslo – sequence: 194 givenname: Andre G. surname: Uitterlinden fullname: Uitterlinden, Andre G. organization: Department of Epidemiology and Internal Medicine, Erasmus University Medical Center Rotterdam – sequence: 195 givenname: Pim orcidid: 0000-0002-2713-686X surname: Van Der Harst fullname: Van Der Harst, Pim organization: Department of Cardiology, University Medical Center Groningen, University of Groningen – sequence: 197 givenname: David R. orcidid: 0000-0001-8250-9828 surname: Van Wagoner fullname: Van Wagoner, David R. organization: Departments of Cardiovascular Medicine, Cellular and Molecular Medicine, Molecular Cardiology, and Quantitative Health Sciences, Cleveland Clinic – sequence: 201 givenname: Biqi surname: Wang fullname: Wang, Biqi organization: Department of Biostatistics, Boston University School of Public Health – sequence: 208 givenname: Jorge A. surname: Wong fullname: Wong, Jorge A. organization: Division of Cardiology, Hamilton Health Sciences, McMaster University – sequence: 209 givenname: Daniel surname: Woo fullname: Woo, Daniel organization: University of Cincinnati College of Medicine – sequence: 213 givenname: Zachary T. surname: Yoneda fullname: Yoneda, Zachary T. organization: Department of Medicine, Vanderbilt University Medical Center – sequence: 214 givenname: Tanja surname: Zeller fullname: Zeller, Tanja organization: Department of General and Interventional Cardiology, University Heart Centre Hamburg, DZHK (German Centre for Cardiovascular Research), partner site: Hamburg/Kiel/Lübeck – sequence: 215 givenname: Lingyao surname: Zeng fullname: Zeng, Lingyao organization: Deutsches Herzzentrum München, Klinik für Herz- und Kreislauferkrankungen, Technische Universität München – sequence: 216 givenname: Steven A. orcidid: 0000-0002-9599-4866 surname: Lubitz fullname: Lubitz, Steven A. organization: Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cardiovascular Research Center, Massachusetts General Hospital, Cardiac Arrhythmia Service, Massachusetts General Hospital |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29892015$$D View this record in MEDLINE/PubMed https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-364160$$DView record from Swedish Publication Index http://kipublications.ki.se/Default.aspx?queryparsed=id:139029099$$DView record from Swedish Publication Index |
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| Copyright | The Author(s) 2018 COPYRIGHT 2018 Nature Publishing Group Copyright Nature Publishing Group Sep 2018 |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Drafted and finalized manuscript: C.R., M.D.C., E.J.B., K.L.L., S.A.L., P.T.E., H.L. Contributed to and revised manuscript H.J.C., E.A.D., B.L.K., B.W, S.Kääb, M.M.-N., B.N., K.S., M.F.S., J.L., A.A., L.Y.C., K.L., S.A., D.C., G.P., L. Risch, S.Thériault, T.T., C.Schurman, S.A.S., J.C.D., D.M.R., Q.S.W., C.R., M.D.C., K.G.A., B.R.D., N.G., S.Kathiresan, L.M., P.L.H., J.B., M.K.C., J.D.S., H.Sun, D.R.V.W., T.M.B., J.C.B., J.A.B., G.A., M.S.O., L.Refsgaard, J.H.S., D.F., R.J., S.Shah, P.K., R.B.S., T.E., M.T.-L., E.J.B., B.Wang, K.L.L., M.Kähönen, T.L., I.E.C., I.C.V.G., B.G., M.Rienstra, J.E.S., P.V.D.H., N.V., H.L.B., S.C.D., R.Gutmann, B.L., S.Saba, A.A.S., R.W., H.C., R.N.L., N.L.S., K.L.W., S.R.H., B.M.P., N.S., J.Carlquist, M.J.C., S.Knight, M.E.K., W.M., P.A., O.M., M.O.-M., X.G., H.J.L., J.I.R., K.D.T., S.H.C., N.R.T., S.A.L., P.T.E., C.N.-C., M.A.R., C.D.A., P.N., J.J.G.S., H.Schunkert, T.P.C., K.B.M., I.F., J.J.W.J., P.W.M., R.N., S.Trompet, O.H.F., A.Hofman, M.Kavousi, M.N.N., B.H.Stricker, A.G.U., R.Grewal, J.J.-C., S.L.P., S.M., A.Hamsten, J.P.K., G.M.M., C.R.P., A.P.M., S.G., E.Ingelsson, H.L., D.D., J.A.M., M.M.B.S., Z.T.Y., C.Shaffer, P.E.W., C.M.A., D.I.C., R.K.S., J.W., M.Dichgans, R.M. Contributed to study specific GWAS by providing phenotype data or performing data analyses: H.J.C., E.A.D., B.L.K., B.W, S.Kääb, M.M.-N., B.N., K.S., M.F.S., V.G., T.B.H., L.J.L., A.V.S., M.E., J.Hernesniemi, J.L., I.S., A.A., D.E.A., N.A.B., E.B., L.Y.C., M.L., E.Z.S., S.A., D.C., G.P., L.Risch, S.Thériault, K.I., Y.K., M.Kubo, S.-K.L., T.T., E.B.B., R.J.F.L., Y.L., C.Schurman, S.A.S., J.C.D., D.M.R., Q.S.W., C.R., M.D.C., L.-C.W., K.G.A., N.G., S.Kathiresan, L.M., P.L.H., J.B., M.K.C., J.D.S., H.Sun, D.R.V.W., T.M.B., J.C.B., J.A.B., M.-L.L., J.Sinisalo, E.V., G.A., M.S.O., L.Refsgaard, J.H.S., D.F., R.J., A.Sun, P.K., H.O., R.B.S., T.Z., T.E., M.T.-L., E.J.B., B.Wang, K.L.L., M.Kähönen, T.L., L.-P.L., K.N., I.E.C., A.Tveit, B.G., J.E.S., N.V., H.L.B., S.C.D., R.Gutmann, B.L., S.Saba, A.A.S., R.W., A.C., C.H., L.J.H., J.Huffman, S.P., D.P., B.H.Smith, H.C., E.Ipek, S.N., R.N.L., N.L.S., K.L.W., S.R.H., B.M.P., N.S., J.Carlquist, M.J.C., S.Knight, E.-K.C., H.E.L., H.-N.P., J.Shim, P.-S.Y., G.D., J.Huang, M.E.K., P.A., O.M., M.O.-M., Y.-D.C., X.G., K.D.T., J.Y., S.A.L., P.T.E., C.N.-C., M.A.R., J.R., N.R., C.D.A., P.N., J.J.G.S., A.K., T.K., H.Schunkert, L.Z., T.P.C., S.M.D., K.B.M., M.P.M., D.J.R., I.F., J.J.W.J., S.Trompet, O.H.F., A.Hofman, M.Kavousi, M.N.N., B.H.Stricker, A.G.U., M.Dörr, S.B.F., A.Teumer, U.V., S.W., J.W.C., R.Grewal, J.J.-C., P.K-W, J.P., S.L.P., M.Ribasés, A.Slowik, D.W., B.B.W., A.R.V.R.H., J.E.K., A.J.M., A.P., S.M., A.N., A.Hamsten, P.K.M., N.L.P., J.P.K., G.M.M., C.R.P., J.Cook, L.L., C.M.L., A.M., A.P.M., S.G., E.Ingelsson, N.E., K.T., H.L., D.D.M., D.D., J.A.M., M.M.B.S., Z.T.Y., C.Shaffer, P.E.W., C.M.A., D.I.C., P.M.R., M.Dichgans, R.M. Performed meta analyses: C.R., M.D.C., S.L.P. Contributed samples sequencing or performed left atrial eQTL analyses: N.R.T., P.T.E., T.P.C., K.B.M., M.P.M., H.L. Performed downstream analyses: C.R., M.D.C., L.-C.W., K.L.L., S.H.C., N.R.T., H.L. Conceived designed and supervised the overall project: K.I., T.T., K.L.L., S.R.H., S.A.L., P.T.E. Author contributions |
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| Snippet | Atrial fibrillation (AF) affects more than 33 million individuals worldwide
1
and has a complex heritability
2
. We conducted the largest meta-analysis of... Atrial fibrillation (AF) affects more than 33 million individuals worldwide and has a complex heritability . We conducted the largest meta-analysis of... Atrial fibrillation (AF) affects more than 33 million individuals worldwide.sup.1 and has a complex heritability.sup.2. We conducted the largest meta-analysis... Atrial fibrillation (AF) affects more than 33 million individuals worldwide1 and has a complex heritability2. We conducted the largest meta-analysis of... Atrial fibrillation (AF) affects over 33 million individuals worldwide 1 and has a complex heritability. 2 We conducted the largest meta-analysis of... Atrial fibrillation (AF) affects more than 33 million individuals worldwide(1) and has a complex heritability(2). We conducted the largest meta-analysis of... |
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| SubjectTerms | 38 38/91 45 45/43 631/208 692/699 Agriculture Animal Genetics and Genomics Atrial fibrillation Atrial Fibrillation - ethnology Atrial Fibrillation - genetics Basic Medicine Bioinformatics Biomedical and Life Sciences Biomedicine Cancer Research Cardiac arrhythmia Case-Control Studies Consortia Disease Drug development Ethnic factors Ethnicity - genetics Fibrillation Gene expression Gene Function Gene mapping Genes Genetic aspects Genetic Predisposition to Disease Genetic research Genome-wide association studies Genome-Wide Association Study - methods Genomes Genomics Heart Human Genetics Humans Letter Medical and Health Sciences Medical Genetics and Genomics (including Gene Therapy) Medicin och hälsovetenskap Medicinsk genetik och genomik (Här ingår: Genterapi) Medicinska och farmaceutiska grundvetenskaper Meta-analysis Muscle contraction Mutation Quantitative Trait Loci RNA Transcriptome |
| Title | Multi-ethnic genome-wide association study for atrial fibrillation |
| URI | https://link.springer.com/article/10.1038/s41588-018-0133-9 https://www.ncbi.nlm.nih.gov/pubmed/29892015 https://www.proquest.com/docview/2118753826 https://www.proquest.com/docview/2054950587 https://pubmed.ncbi.nlm.nih.gov/PMC6136836 https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-364160 http://kipublications.ki.se/Default.aspx?queryparsed=id:139029099 |
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