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A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.
Sung, Yun J; Winkler, Thomas W; de Las Fuentes, Lisa; Bentley, Amy R; Brown, Michael R; Kraja, Aldi T; Schwander, Karen; Ntalla, Ioanna; Guo, Xiuqing; Franceschini, Nora; Lu, Yingchang; Cheng, Ching-Yu; Sim, Xueling; Vojinovic, Dina; Marten, Jonathan; Musani, Solomon K; Li, Changwei; Feitosa, Mary F; Kilpeläinen, Tuomas O; Richard, Melissa A; Noordam, Raymond; Aslibekyan, Stella; Aschard, Hugues; Bartz, Traci M; Dorajoo, Rajkumar; Liu, Yongmei; Manning, Alisa K; Rankinen, Tuomo; Smith, Albert Vernon; Tajuddin, Salman M; Tayo, Bamidele O; Warren, Helen R; Zhao, Wei; Zhou, Yanhua; Matoba, Nana; Sofer, Tamar; Alver, Maris; Amini, Marzyeh; Boissel, Mathilde; Chai, Jin Fang; Chen, Xu; Divers, Jasmin; Gandin, Ilaria; Gao, Chuan; Giulianini, Franco; Goel, Anuj; Harris, Sarah E; Hartwig, Fernando Pires; Horimoto, Andrea R V R; Hsu, Fang-Chi.
Afiliação
  • Sung YJ; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: yunju@wustl.edu.
  • Winkler TW; Department of Genetic Epidemiology, University of Regensburg, Regensburg 93051, Germany.
  • de Las Fuentes L; Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO 63110, USA.
  • Bentley AR; Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA.
  • Brown MR; Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, TX 77030, USA.
  • Kraja AT; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Schwander K; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Ntalla I; William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK.
  • Guo X; Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
  • Franceschini N; Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27514, USA.
  • Lu Y; Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY 10029, USA.
  • Cheng CY; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore 169857, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medic
  • Sim X; Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore 117549, Singapore.
  • Vojinovic D; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Marten J; Medical Research Council Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
  • Musani SK; Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, USA.
  • Li C; Department of Epidemiology and Biostatistics, University of Giorgia at Athens College of Public Health, Athens, GA 30602, USA.
  • Feitosa MF; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA.
  • Kilpeläinen TO; Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark; Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY 10
  • Richard MA; Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Noordam R; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300RC, the Netherlands.
  • Aslibekyan S; Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
  • Aschard H; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; Centre de Bioinformatique Biostatistique et Biologie Integrative (C3BI), Institut Pasteur, Paris 75015, France.
  • Bartz TM; Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA 98101, USA.
  • Dorajoo R; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138672, Singapore.
  • Liu Y; Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Manning AK; Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Rankinen T; Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
  • Smith AV; Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland.
  • Tajuddin SM; Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Baltimore, MD 21224, USA.
  • Tayo BO; Department of Public Health Sciences, Loyola University Chicago, Maywood, IL 60153, USA.
  • Warren HR; William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
  • Zhao W; School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA.
  • Zhou Y; Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
  • Matoba N; Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan.
  • Sofer T; Department of Biostatistics, University of Washington, Seattle, WA 98105, USA.
  • Alver M; Estonian Genome Center, University of Tartu, Tartu 51010, Estonia.
  • Amini M; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands.
  • Boissel M; CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille 59000, France.
  • Chai JF; Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore.
  • Chen X; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden.
  • Divers J; Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Gandin I; Department of Medical Sciences, University of Trieste, Trieste 34137, Italy.
  • Gao C; Department of Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
  • Giulianini F; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA.
  • Goel A; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire OX3 9DU, UK; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK.
  • Harris SE; Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK; Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh EH4
  • Hartwig FP; Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS 96020220, Brazil.
  • Horimoto ARVR; Lab Genetics and Molecular Cardiology, Department of Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil.
  • Hsu FC; Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Am J Hum Genet ; 102(3): 375-400, 2018 03 01.
Article em En | MEDLINE | ID: mdl-29455858
ABSTRACT
Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10-8) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10-8). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Fumar / Grupos Raciais / Estudo de Associação Genômica Ampla / Loci Gênicos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans / Male Idioma: En Revista: Am J Hum Genet Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Fumar / Grupos Raciais / Estudo de Associação Genômica Ampla / Loci Gênicos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Female / Humans / Male Idioma: En Revista: Am J Hum Genet Ano de publicação: 2018 Tipo de documento: Article