Your browser doesn't support javascript.
loading
A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.
Nagarajan, Pavithra; Winkler, Thomas W; Bentley, Amy R; Miller, Clint L; Kraja, Aldi T; Schwander, Karen; Lee, Songmi; Wang, Wenyi; Brown, Michael R; Morrison, John L; Giri, Ayush; O'Connell, Jeffrey R; Bartz, Traci M; de Las Fuentes, Lisa; Gudmundsdottir, Valborg; Guo, Xiuqing; Harris, Sarah E; Huang, Zhijie; Kals, Mart; Kho, Minjung; Lefevre, Christophe; Luan, Jian'an; Lyytikäinen, Leo-Pekka; Mangino, Massimo; Milaneschi, Yuri; Palmer, Nicholette D; Rao, Varun; Rauramaa, Rainer; Shen, Botong; Stadler, Stefan; Sun, Quan; Tang, Jingxian; Thériault, Sébastien; van der Graaf, Adriaan; van der Most, Peter J; Wang, Yujie; Weiss, Stefan; Westerman, Kenneth E; Yang, Qian; Yasuharu, Tabara; Zhao, Wei; Zhu, Wanying; Altschul, Drew; Ansari, Md Abu Yusuf; Anugu, Pramod; Argoty-Pantoja, Anna D; Arzt, Michael; Aschard, Hugues; Attia, John R; Bazzanno, Lydia.
Afiliación
  • Nagarajan P; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Winkler TW; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Bentley AR; Center for Research on Genomics and Global Health, National Human Genome Research Institute, US National Institutes of Health, Bethesda, MD, USA.
  • Miller CL; Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesvil le, VA, USA.
  • Kraja AT; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville ,VA, USA.
  • Schwander K; University of Mississippi Medical Center, Jackson, MS, USA.
  • Lee S; Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Wang W; Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA.
  • Brown MR; Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.
  • Morrison JL; Human Genetics Center, Department of Epidemiology, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA.
  • Giri A; Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
  • O'Connell JR; Division of Quantitative Sciences, Department of Obstetrics & Gynecology, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Bartz TM; Biomedical Laboratory Research and Development, Tennessee Valley Healthcare System (626), Department of Veterans Affairs/ Nashville, TN, USA.
  • de Las Fuentes L; Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
  • Gudmundsdottir V; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Guo X; Department of Biostatistics, University of Washington, Seattle, WA, USA.
  • Harris SE; Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, MO, USA.
  • Huang Z; Center for Biostatistics and Data Science, Institute for Informatics, Data Science, and Biostatistics, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.
  • Kals M; Icelandic Heart Association, Kopavogur, Iceland.
  • Kho M; Faculty of Medicine, Department of Health Sciences, University of Iceland, Reykjavik, Iceland.
  • Lefevre C; The Institute for Translational Genomics and Population Sciences, Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  • Luan J; Department of Psychology, The University of Edinburgh, Edinburgh, UK.
  • Lyytikäinen LP; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, US.
  • Mangino M; Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.
  • Milaneschi Y; Graduate School of Data Science, Seoul National University, Seoul, South Korea.
  • Palmer ND; Department of Data Sciences, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
  • Rao V; MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
  • Rauramaa R; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
  • Shen B; Finnish Cardiovascular Research Center - Tampere, Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere, Finland.
  • Stadler S; Department of Twin Research, King's College London, London, UK.
  • Sun Q; National Heart & Lung Institute, Cardiovascular Genomics and Precision Medicine, Imperial College London, London, UK.
  • Tang J; Department of Psychiatry, Amsterdam UMC/Vrije universiteit, Amsterdam, Netherlands.
  • Thériault S; GGZ inGeest, Amsterdam, Netherlands.
  • van der Graaf A; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
  • van der Most PJ; Division of Nephrology, Department of Medicine, University of Illinois Chicago, Chicago, USA.
  • Wang Y; Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.
  • Weiss S; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
  • Westerman KE; Department of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany.
  • Yang Q; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Yasuharu T; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
  • Zhao W; Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec City, Qc, Canada.
  • Zhu W; Statistical Genetics Group, Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Altschul D; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
  • Ansari MAY; Department of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Anugu P; Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
  • Argoty-Pantoja AD; DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
  • Arzt M; Department of Medicine, Harvard Medical School, Boston, MA, USA.
  • Aschard H; Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA.
  • Attia JR; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
  • Bazzanno L; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
medRxiv ; 2024 Mar 08.
Article en En | MEDLINE | ID: mdl-38496537
ABSTRACT
Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos