Display options
Share it on

Mol Psychiatry. 2021 Nov;26(11):6293-6304. doi: 10.1038/s41380-021-01087-0. Epub 2021 Apr 15.

Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure.

Molecular psychiatry

Heming Wang, Raymond Noordam, Brian E Cade, Karen Schwander, Thomas W Winkler, Jiwon Lee, Yun Ju Sung, Amy R Bentley, Alisa K Manning, Hugues Aschard, Tuomas O Kilpeläinen, Marjan Ilkov, Michael R Brown, Andrea R Horimoto, Melissa Richard, Traci M Bartz, Dina Vojinovic, Elise Lim, Jovia L Nierenberg, Yongmei Liu, Kumaraswamynaidu Chitrala, Tuomo Rankinen, Solomon K Musani, Nora Franceschini, Rainer Rauramaa, Maris Alver, Phyllis C Zee, Sarah E Harris, Peter J van der Most, Ilja M Nolte, Patricia B Munroe, Nicholette D Palmer, Brigitte Kühnel, Stefan Weiss, Wanqing Wen, Kelly A Hall, Leo-Pekka Lyytikäinen, Jeff O'Connell, Gudny Eiriksdottir, Lenore J Launer, Paul S de Vries, Dan E Arking, Han Chen, Eric Boerwinkle, Jose E Krieger, Pamela J Schreiner, Stephen Sidney, James M Shikany, Kenneth Rice, Yii-Der Ida Chen, Sina A Gharib, Joshua C Bis, Annemarie I Luik, M Arfan Ikram, André G Uitterlinden, Najaf Amin, Hanfei Xu, Daniel Levy, Jiang He, Kurt K Lohman, Alan B Zonderman, Treva K Rice, Mario Sims, Gregory Wilson, Tamar Sofer, Stephen S Rich, Walter Palmas, Jie Yao, Xiuqing Guo, Jerome I Rotter, Nienke R Biermasz, Dennis O Mook-Kanamori, Lisa W Martin, Ana Barac, Robert B Wallace, Daniel J Gottlieb, Pirjo Komulainen, Sami Heikkinen, Reedik Mägi, Lili Milani, Andres Metspalu, John M Starr, Yuri Milaneschi, R J Waken, Chuan Gao, Melanie Waldenberger, Annette Peters, Konstantin Strauch, Thomas Meitinger, Till Roenneberg, Uwe Völker, Marcus Dörr, Xiao-Ou Shu, Sutapa Mukherjee, David R Hillman, Mika Kähönen, Lynne E Wagenknecht, Christian Gieger, Hans J Grabe, Wei Zheng, Lyle J Palmer, Terho Lehtimäki, Vilmundur Gudnason, Alanna C Morrison, Alexandre C Pereira, Myriam Fornage, Bruce M Psaty, Cornelia M van Duijn, Ching-Ti Liu, Tanika N Kelly, Michele K Evans, Claude Bouchard, Ervin R Fox, Charles Kooperberg, Xiaofeng Zhu, Timo A Lakka, Tõnu Esko, Kari E North, Ian J Deary, Harold Snieder, Brenda W J H Penninx, W James Gauderman, Dabeeru C Rao, Susan Redline, Diana van Heemst

Affiliations

  1. Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. [email protected].
  2. Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA. [email protected].
  3. Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
  4. Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  5. Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA.
  6. Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
  7. Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  8. Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  9. Joint Carnegie Mellon University-University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA.
  10. Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  11. Pittsburgh Center for Evolutionary Biology and Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  12. Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  13. Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  14. Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
  15. Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France.
  16. Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  17. Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  18. Icelandic Heart Association, Kopavogur, Iceland.
  19. 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.
  20. Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, Brazil.
  21. Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
  22. Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  23. Department of Biostatistics, University of Washington, Seattle, WA, USA.
  24. Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
  25. Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.
  26. Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
  27. Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
  28. Division of Cardiology, Department of Medicine, Duke Molecular Physiology Institute Duke University School of Medicine, Durham, NC, USA.
  29. Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
  30. Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
  31. Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
  32. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
  33. Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.
  34. Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
  35. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland.
  36. Division of Sleep Medicine, Department of Neurology, Northwestern University, Chicago, IL, USA.
  37. Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK.
  38. Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  39. Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  40. National Institute for Health Research Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London, London, UK.
  41. Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  42. Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  43. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  44. Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
  45. German Center for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany.
  46. Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA.
  47. School of Public Health, The University of Adelaide, Adelaide, SA, Australia.
  48. Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
  49. Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  50. Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA.
  51. Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
  52. McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  53. Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  54. Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  55. Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
  56. Kaiser Permanente Northern California, Oakland, CA, USA.
  57. Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  58. The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.
  59. Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Department of Medicine, University of Washington, Seattle, WA, USA.
  60. Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
  61. Department of Internal Medicine, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
  62. Population Sciences Branch, National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA.
  63. JHS Graduate Training and Education Center, Jackson State University, Jackson, MS, USA.
  64. Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
  65. Division of General Medicine, Department of Medicine, Columbia University, New York, NY, USA.
  66. Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands.
  67. Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
  68. Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands.
  69. George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  70. MedStar Heart and Vascular Institute, Washington, DC, USA.
  71. Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, USA.
  72. VA Boston Healthcare System, Boston, MA, USA.
  73. Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland.
  74. Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland.
  75. Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh, UK.
  76. Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, HJ, The Netherlands.
  77. Division of Cardiology, Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
  78. Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  79. German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Neuherberg, Germany.
  80. Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany.
  81. Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  82. Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany.
  83. Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
  84. Institute and Polyclinic for Occupational-, Social- and Environmental Medicine, LMU Munich, Munich, Germany.
  85. Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
  86. Sleep Health Service, Respiratory and Sleep Services, Southern Adelaide Local Health Network, Adelaide, SA, Australia.
  87. Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
  88. Department of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia.
  89. Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland.
  90. Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
  91. Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
  92. German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
  93. Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
  94. Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
  95. Department of Genetics, Harvard Medical School, Boston, MA, USA.
  96. Cardiovascular Health Research Unit, Departments of Epidemiology and Health Services, University of Washington, Seattle, WA, USA.
  97. Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  98. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
  99. Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
  100. Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland.
  101. Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
  102. Division of Pulmonary Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  103. Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands. [email protected].

PMID: 33859359 PMCID: PMC8517040 DOI: 10.1038/s41380-021-01087-0

Abstract

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 P

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

References

  1. Berry JD, Dyer A, Cai X, Garside DB, Ning H, Thomas A, et al. Lifetime risks of cardiovascular disease. N Engl J Med. 2012;366:321–9. - PubMed
  2. Cooper RS, Luke A, Zhu X, Kan D, Adeyemo A, Rotimi C, et al. Genome scan among Nigerians linking blood pressure to chromosomes 2, 3, and 19. Hypertension. 2002;40:629–33. - PubMed
  3. Levy D, DeStefano AL, Larson MG, O’Donnell CJ, Lifton RP, Gavras H, et al. Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the framingham heart study. Hypertension. 2000;36:477–83. - PubMed
  4. Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, et al. Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet. 2009;41:666–76. - PubMed
  5. Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, et al. Genome-wide association study of blood pressure and hypertension. Nat Genet. 2009;41:677–87. - PubMed
  6. International Consortium for Blood Pressure Genome-Wide Association S, Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, et al. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature. 2011;478:103–9. - PubMed
  7. Ehret GB, Ferreira T, Chasman DI, Jackson AU, Schmidt EM, Johnson T, et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nat Genet. 2016;48:1171–84. - PubMed
  8. Liu C, Kraja AT, Smith JA, Brody JA, Franceschini N, Bis JC, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nat Genet. 2016;48:1162–70. - PubMed
  9. Surendran P, Drenos F, Young R, Warren H, Cook JP, Manning AK, et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet. 2016;48:1151–61. - PubMed
  10. Hoffmann TJ, Ehret GB, Nandakumar P, Ranatunga D, Schaefer C, Kwok PY, et al. Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation. Nat Genet. 2017;49:54–64. - PubMed
  11. Warren HR, Evangelou E, Cabrera CP, Gao H, Ren M, Mifsud B, et al. Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nat Genet. 2017;49:403–15. - PubMed
  12. Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018;50:1412–25. - PubMed
  13. Giri A, Hellwege JN, Keaton JM, Park J, Qiu C, Warren HR, et al. Trans-ethnic association study of blood pressure determinants in over 750,000 individuals. Nat Genet. 2019;51:51–62. - PubMed
  14. Franceschini N, Fox E, Zhang Z, Edwards TL, Nalls MA, Sung YJ, et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet. 2013;93:545–54. - PubMed
  15. Zhu X, Feng T, Tayo BO, Liang J, Young JH, Franceschini N, et al. Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension. Am J Hum Genet. 2015;96:21–36. - PubMed
  16. Liang J, Le TH, Edwards DRV, Tayo BO, Gaulton KJ, Smith JA, et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. PLoS Genet. 2017;13:e1006728. - PubMed
  17. Sung YJ, Winkler TW, de Las Fuentes L, Bentley AR, Brown MR, Kraja AT, et al. A large-scale multi-ancestry genome-wide study accounting for smoking behavior identifies multiple significant loci for blood pressure. Am J Hum Genet. 2018;102:375–400. - PubMed
  18. Noordam R, Bos MM, Wang H, Winkler TW, Bentley AR, Kilpelainen TO, et al. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. Nat Commun. 2019;10:5121. - PubMed
  19. Gangwisch JE. A review of evidence for the link between sleep duration and hypertension. Am J Hypertens. 2014;27:1235–42. - PubMed
  20. Rao DC, Sung YJ, Winkler TW, Schwander K, Borecki I, Cupples LA, et al. Multiancestry study of gene-lifestyle interactions for cardiovascular traits in 610 475 Individuals from 124 cohorts: design and rationale. Circ Cardiovasc Genet. 2017;10:e001649. - PubMed
  21. Manning AK, LaValley M, Liu CT, Rice K, An P, Liu Y, et al. Meta-analysis of gene-environment interaction: joint estimation of SNP and SNP x environment regression coefficients. Genet Epidemiol. 2011;35:11–18. - PubMed
  22. Aulchenko YS, Struchalin MV, van Duijn CM. ProbABEL package for genome-wide association analysis of imputed data. BMC Bioinforma. 2010;11:134. - PubMed
  23. Zeileis A Object-oriented computation of sandwich estimators. 2006. - PubMed
  24. Grandner MA, Schopfer EA, Sands-Lincoln M, Jackson N, Malhotra A. Relationship between sleep duration and body mass index depends on age. Obes (Silver Spring). 2015;23:2491–8. - PubMed
  25. Martins D, Tareen N, Pan D, Norris K. The relationship between body mass index, blood pressure and pulse rate among normotensive and hypertensive participants in the third National Health and Nutrition Examination Survey (NHANES). Cell Mol Biol (Noisy-le-Gd). 2003;49:1305–9. - PubMed
  26. Winkler TW, Day FR, Croteau-Chonka DC, Wood AR, Locke AE, Magi R, et al. Quality control and conduct of genome-wide association meta-analyses. Nat Protoc. 2014;9:1192–212. - PubMed
  27. Laville V, Bentley AR, Prive F, Zhu X, Gauderman J, Winkler TW, et al. VarExp: estimating variance explained by genome-wide GxE summary statistics. Bioinformatics. 2018;34:3412–4. - PubMed
  28. Ward LD, Kellis M. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. Nucleic Acids Res. 2012;40:D930–934. - PubMed
  29. Boyle AP, Hong EL, Hariharan M, Cheng Y, Schaub MA, Kasowski M, et al. Annotation of functional variation in personal genomes using RegulomeDB. Genome Res. 2012;22:1790–7. - PubMed
  30. Consortium GT. Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science. 2015;348:648–60. - PubMed
  31. Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7. - PubMed
  32. Slowikowski K, Hu X, Raychaudhuri S. SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci. Bioinformatics. 2014;30:2496–7. - PubMed
  33. Ramos EM, Hoffman D, Junkins HA, Maglott D, Phan L, Sherry ST, et al. Phenotype–Genotype Integrator (PheGenI): synthesizing genome-wide association study (GWAS) data with existing genomic resources. Eur J Hum Genet. 2014;22:144–7. - PubMed
  34. Hamosh A, Scott AF, Amberger JS, Bocchini CA, McKusick VA. Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Res. 2005;33:D514–517. - PubMed
  35. Cotto KC, Wagner AH, Feng YY, Kiwala S, Coffman AC, Spies G, et al. DGIdb 3.0: a redesign and expansion of the drug-gene interaction database. Nucleic Acids Res. 2018;46:D1068–D1073. - PubMed
  36. Watanabe K, Taskesen E, van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8:1826. - PubMed
  37. Dashti HS, Jones SE, Wood AR, Lane JM, van Hees VT, Wang H, et al. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates. Nat Commun. 2019;10:1100. - PubMed
  38. Sanuki R, Omori Y, Koike C, Sato S, Furukawa T. Panky, a novel photoreceptor-specific ankyrin repeat protein, is a transcriptional cofactor that suppresses CRX-regulated photoreceptor genes. FEBS Lett. 2010;584:753–8. - PubMed
  39. Medzikovic L, de Vries CJM, de Waard V. NR4A nuclear receptors in cardiac remodeling and neurohormonal regulation. Trends Cardiovasc Med. 2019;29:429–37. - PubMed
  40. Comuzzie AG, Cole SA, Laston SL, Voruganti VS, Haack K, Gibbs RA, et al. Novel genetic loci identified for the pathophysiology of childhood obesity in the Hispanic population. PLoS One. 2012;7:e51954. - PubMed
  41. Willer CJ, Speliotes EK, Loos RJ, Li S, Lindgren CM, Heid IM, et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet. 2009;41:25–34. - PubMed
  42. Teng X, Aouacheria A, Lionnard L, Metz KA, Soane L, Kamiya A, et al. KCTD: A new gene family involved in neurodevelopmental and neuropsychiatric disorders. CNS Neurosci Ther. 2019;25:887–902. - PubMed
  43. Eder P, Probst D, Rosker C, Poteser M, Wolinski H, Kohlwein SD, et al. Phospholipase C-dependent control of cardiac calcium homeostasis involves a TRPC3-NCX1 signaling complex. Cardiovasc Res. 2007;73:111–9. - PubMed
  44. Dabertrand F, Nelson MT, Brayden JE. Ryanodine receptors, calcium signaling, and regulation of vascular tone in the cerebral parenchymal microcirculation. Microcirculation. 2013;20:307–16. - PubMed
  45. Kashef F, Li J, Wright P, Snyder J, Suliman F, Kilic A, et al. Ankyrin-B protein in heart failure: identification of a new component of metazoan cardioprotection. J Biol Chem. 2012;287:30268–81. - PubMed
  46. Vicario N, Zappala A, Calabrese G, Gulino R, Parenti C, Gulisano M, et al. Connexins in the central nervous system: physiological traits and neuroprotective targets. Front Physiol. 2017;8:1060. - PubMed
  47. Andersen JL, Schroder TJ, Christensen S, Strandbygard D, Pallesen LT, Garcia-Alai MM, et al. Identification of the first small-molecule ligand of the neuronal receptor sortilin and structure determination of the receptor-ligand complex. Acta Crystallogr D Biol Crystallogr. 2014;70:451–60. - PubMed
  48. Zheng JS, Arnett DK, Lee YC, Shen J, Parnell LD, Smith CE, et al. Genome-wide contribution of genotype by environment interaction to variation of diabetes-related traits. PLoS One. 2013;8:e77442. - PubMed
  49. Sandhu MS, Waterworth DM, Debenham SL, Wheeler E, Papadakis K, Zhao JH, et al. LDL-cholesterol concentrations: a genome-wide association study. Lancet. 2008;371:483–91. - PubMed
  50. Willer CJ, Schmidt EM, Sengupta S, Peloso GM, Gustafsson S, Kanoni S, et al. Discovery and refinement of loci associated with lipid levels. Nat Genet. 2013;45:1274–83. - PubMed
  51. Pickrell JK, Berisa T, Liu JZ, Segurel L, Tung JY, Hinds DA. Detection and interpretation of shared genetic influences on 42 human traits. Nat Genet. 2016;48:709–17. - PubMed
  52. Lambert JC, Grenier-Boley B, Harold D, Zelenika D, Chouraki V, Kamatani Y, et al. Genome-wide haplotype association study identifies the FRMD4A gene as a risk locus for Alzheimer’s disease. Mol Psychiatry. 2013;18:461–70. - PubMed
  53. Schizophrenia Working Group of the Psychiatric Genomics C. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511:421–7. - PubMed
  54. Wang Q, Xi B, Liu M, Zhang Y, Fu M. Short sleep duration is associated with hypertension risk among adults: a systematic review and meta-analysis. Hypertens Res. 2012;35:1012–8. - PubMed
  55. Baron KG, Reid KJ. Circadian misalignment and health. Int Rev Psychiatry. 2014;26:139–54. - PubMed
  56. Douma LG, Gumz ML. Circadian clock-mediated regulation of blood pressure. Free Radic Biol Med. 2018;119:108–14. - PubMed
  57. Nikolaeva S, Pradervand S, Centeno G, Zavadova V, Tokonami N, Maillard M, et al. The circadian clock modulates renal sodium handling. J Am Soc Nephrol. 2012;23:1019–26. - PubMed
  58. Paillasse MR, de Medina P. The NR4A nuclear receptors as potential targets for anti-aging interventions. Med Hypotheses. 2015;84:135–40. - PubMed
  59. Xi B, He D, Zhang M, Xue J, Zhou D. Short sleep duration predicts risk of metabolic syndrome: a systematic review and meta-analysis. Sleep Med Rev. 2014;18:293–7. - PubMed
  60. Chambers BE, Clark EG, Gatz AE, Wingert RA. Kctd15 regulates nephron segment development by repressing Tfap2a activity. Development. 2020;147:dev191973. - PubMed
  61. Adeva-Andany MM, Perez-Felpete N, Fernandez-Fernandez C, Donapetry-Garcia C, Pazos-Garcia C. Liver glucose metabolism in humans. Biosci Rep. 2016;36:e00416. - PubMed
  62. Cascone T, McKenzie JA, Mbofung RM, Punt S, Wang Z, Xu C, et al. Increased Tumor Glycolysis Characterizes Immune Resistance to Adoptive T Cell Therapy. Cell Metab. 2018;27:977–87. e974 - PubMed
  63. Segovia J, Zarco N. Gas1 is a pleiotropic regulator of cellular functions: from embryonic development to molecular actions in cancer gene therapy. Mini Rev Med Chem. 2014;14:1139–47. - PubMed
  64. Zarco N, Bautista E, Cuellar M, Vergara P, Flores-Rodriguez P, Aguilar-Roblero R, et al. Growth arrest specific 1 (GAS1) is abundantly expressed in the adult mouse central nervous system. J Histochem Cytochem. 2013;61:731–48. - PubMed
  65. Jones SE, Lane JM, Wood AR, van Hees VT, Tyrrell J, Beaumont RN, et al. Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms. Nat Commun. 2019;10:343. - PubMed
  66. Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139:e56–e528. - PubMed
  67. Nunes J, Jean-Louis G, Zizi F, Casimir GJ, von Gizycki H, Brown CD, et al. Sleep duration among black and white Americans: results of the National Health Interview Survey. J Natl Med Assoc. 2008;100:317–22. - PubMed
  68. Hale L, Do DP. Racial differences in self-reports of sleep duration in a population-based study. Sleep. 2007;30:1096–103. - PubMed
  69. Barfield R, Wang H, Liu Y, Brody JA, Swenson B, Li R, et al. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations. Sleep. 2019;42:zsz101. - PubMed
  70. Lindhorst J, Alexander N, Blignaut J, Rayner B. Differences in hypertension between blacks and whites: an overview. Cardiovasc J Afr. 2007;18:241–7. - PubMed
  71. Delto CF, Heisler FF, Kuper J, Sander B, Kneussel M, Schindelin H. The LisH motif of muskelin is crucial for oligomerization and governs intracellular localization. Structure. 2015;23:364–73. - PubMed
  72. Heisler FF, Loebrich S, Pechmann Y, Maier N, Zivkovic AR, Tokito M, et al. Muskelin regulates actin filament- and microtubule-based GABA(A) receptor transport in neurons. Neuron. 2011;70:66–81. - PubMed
  73. Ogawa Y, Kakumoto K, Yoshida T, Kuwako KI, Miyazaki T, Yamaguchi J, et al. Elavl3 is essential for the maintenance of Purkinje neuron axons. Sci Rep. 2018;8:2722. - PubMed
  74. Jackson CL, Patel SR, Jackson WB, 2nd, Lutsey PL, Redline S. Agreement between self-reported and objectively measured sleep duration among white, black, Hispanic, and Chinese adults in the United States: multi-ethnic study of atherosclerosis. Sleep. 2018;41:zsy057. - PubMed
  75. Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult: a joint consensus statement of the american academy of sleep medicine and sleep research society. Sleep. 2015;38:843–4. - PubMed

Publication Types

Grant support