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Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.
Feitosa, Mary F; Kraja, Aldi T; Chasman, Daniel I; Sung, Yun J; Winkler, Thomas W; Ntalla, Ioanna; Guo, Xiuqing; Franceschini, Nora; Cheng, Ching-Yu; Sim, Xueling; Vojinovic, Dina; Marten, Jonathan; Musani, Solomon K; Li, Changwei; Bentley, Amy R; Brown, Michael R; Schwander, Karen; Richard, Melissa A; Noordam, Raymond; Aschard, Hugues; Bartz, Traci M; Bielak, Lawrence F; Dorajoo, Rajkumar; Fisher, Virginia; Hartwig, Fernando P; Horimoto, Andrea R V R; Lohman, Kurt K; Manning, Alisa K; Rankinen, Tuomo; Smith, Albert V; Tajuddin, Salman M; Wojczynski, Mary K; Alver, Maris; Boissel, Mathilde; Cai, Qiuyin; Campbell, Archie; Chai, Jin Fang; Chen, Xu; Divers, Jasmin; Gao, Chuan; Goel, Anuj; Hagemeijer, Yanick; Harris, Sarah E; He, Meian; Hsu, Fang-Chi; Jackson, Anne U; Kähönen, Mika; Kasturiratne, Anuradhani; Komulainen, Pirjo; Kühnel, Brigitte.
Afiliação
  • Feitosa MF; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Kraja AT; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Chasman DI; Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
  • Sung YJ; Harvard Medical School, Boston, Massachusetts, United States of America.
  • Winkler TW; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Ntalla I; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Guo X; Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
  • Franceschini N; Genomic Outcomes, Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California, United States of America.
  • Cheng CY; Epidemiology, University of North Carolina Gilling School of Global Public Health, Chapel Hill, North Carolina, United States of America.
  • Sim X; Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
  • Vojinovic D; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore.
  • Marten J; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Musani SK; Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore.
  • Li C; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Bentley AR; Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
  • Brown MR; Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, United States of America.
  • Schwander K; Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, Georgia, United States of America.
  • Richard MA; Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Noordam R; Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Aschard H; Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Bartz TM; Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
  • Bielak LF; Internal Medicine, Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
  • Dorajoo R; Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
  • Fisher V; Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France.
  • Hartwig FP; Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, Washington, United States of America.
  • Horimoto ARVR; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Lohman KK; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore, Singapore.
  • Manning AK; Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
  • Rankinen T; Postgraduate Programme in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil.
  • Smith AV; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
  • Tajuddin SM; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil.
  • Wojczynski MK; Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Alver M; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Boissel M; Department of Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Cai Q; Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, United States of America.
  • Campbell A; Icelandic Heart Association, Kopavogur, Iceland.
  • Chai JF; Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
  • Chen X; Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.
  • Divers J; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Gao C; Estonian Genome Center, University of Tartu, Tartu, Estonia.
  • Goel A; CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille, France.
  • Hagemeijer Y; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.
  • Harris SE; Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.
  • He M; Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore.
  • Hsu FC; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Stockholm, Sweden.
  • Jackson AU; Biostatistical Sciences, Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Kähönen M; Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
  • Kasturiratne A; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire, United Kingdom.
  • Komulainen P; Wellcome Centre for Human Genetics, University of Oxford, Oxford, Oxfordshire, United Kingdom.
  • Kühnel B; Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
PLoS One ; 13(6): e0198166, 2018.
Article em En | MEDLINE | ID: mdl-29912962
ABSTRACT
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Consumo de Bebidas Alcoólicas / Polimorfismo de Nucleotídeo Único / Grupos Raciais / Hipertensão Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pressão Sanguínea / Consumo de Bebidas Alcoólicas / Polimorfismo de Nucleotídeo Único / Grupos Raciais / Hipertensão Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article