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Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure.
Wang, Heming; Noordam, Raymond; Cade, Brian E; Schwander, Karen; Winkler, Thomas W; Lee, Jiwon; Sung, Yun Ju; Bentley, Amy R; Manning, Alisa K; Aschard, Hugues; Kilpeläinen, Tuomas O; Ilkov, Marjan; Brown, Michael R; Horimoto, Andrea R; Richard, Melissa; Bartz, Traci M; Vojinovic, Dina; Lim, Elise; Nierenberg, Jovia L; Liu, Yongmei; Chitrala, Kumaraswamynaidu; Rankinen, Tuomo; Musani, Solomon K; Franceschini, Nora; Rauramaa, Rainer; Alver, Maris; Zee, Phyllis C; Harris, Sarah E; van der Most, Peter J; Nolte, Ilja M; Munroe, Patricia B; Palmer, Nicholette D; Kühnel, Brigitte; Weiss, Stefan; Wen, Wanqing; Hall, Kelly A; Lyytikäinen, Leo-Pekka; O'Connell, Jeff; Eiriksdottir, Gudny; Launer, Lenore J; de Vries, Paul S; Arking, Dan E; Chen, Han; Boerwinkle, Eric; Krieger, Jose E; Schreiner, Pamela J; Sidney, Stephen; Shikany, James M; Rice, Kenneth; Chen, Yii-Der Ida.
Afiliación
  • Wang H; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. hwang@bwh.harvard.edu.
  • Noordam R; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA. hwang@bwh.harvard.edu.
  • Cade BE; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
  • Schwander K; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Winkler TW; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
  • Lee J; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
  • Sung YJ; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Bentley AR; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Manning AK; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Aschard H; Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA.
  • Kilpeläinen TO; Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Ilkov M; Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Brown MR; Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
  • Horimoto AR; Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Richard M; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
  • Bartz TM; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Vojinovic D; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
  • Lim E; Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France.
  • Nierenberg JL; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Liu Y; Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Chitrala K; Icelandic Heart Association, Kopavogur, Iceland.
  • Rankinen T; 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, USA.
  • Musani SK; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
  • Franceschini N; Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Rauramaa R; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Alver M; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Zee PC; Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
  • Harris SE; Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
  • van der Most PJ; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
  • Nolte IM; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
  • Munroe PB; Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute Duke University School of Medicine, Durham, NC, USA.
  • Palmer ND; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
  • Kühnel B; Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
  • Weiss S; Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
  • Wen W; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
  • Hall KA; Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.
  • Lyytikäinen LP; Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
  • O'Connell J; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.
  • Eiriksdottir G; Division of Sleep Medicine, Department of Neurology, Northwestern University, Chicago, IL, USA.
  • Launer LJ; Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK.
  • de Vries PS; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Arking DE; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Chen H; Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Boerwinkle E; National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, London, UK.
  • Krieger JE; Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  • Schreiner PJ; Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Sidney S; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  • Shikany JM; Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
  • Rice K; German Center for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany.
  • Chen YI; Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
Mol Psychiatry ; 26(11): 6293-6304, 2021 11.
Article en En | MEDLINE | ID: mdl-33859359
Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups in two stages using 2 degree of freedom (df) joint test followed by 1df test of interaction effects. Primary multi-ancestry analysis in 62,969 individuals in stage 1 identified three novel gene by sleep interactions that were replicated in an additional 59,296 individuals in stage 2 (stage 1 + 2 Pjoint < 5 × 10-8), including rs7955964 (FIGNL2/ANKRD33) that increases BP among long sleepers, and rs73493041 (SNORA26/C9orf170) and rs10406644 (KCTD15/LSM14A) that increase BP among short sleepers (Pint < 5 × 10-8). Secondary ancestry-specific analysis identified another novel gene by long sleep interaction at rs111887471 (TRPC3/KIAA1109) in individuals of African ancestry (Pint = 2 × 10-6). Combined stage 1 and 2 analyses additionally identified significant gene by long sleep interactions at 10 loci including MKLN1 and RGL3/ELAVL3 previously associated with BP, and significant gene by short sleep interactions at 10 loci including C2orf43 previously associated with BP (Pint < 10-3). 2df test also identified novel loci for BP after modeling sleep that has known functions in sleep-wake regulation, nervous and cardiometabolic systems. This study indicates that sleep and primary mechanisms regulating BP may interact to elevate BP level, suggesting novel insights into sleep-related BP regulation.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Hipertensión Límite: Humans Idioma: En Revista: Mol Psychiatry Asunto de la revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Hipertensión Límite: Humans Idioma: En Revista: Mol Psychiatry Asunto de la revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos