Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease.

Adult Aged Cohort Studies Coronary Disease / diagnosis CpG Islands / genetics DNA Methylation / physiology Europe / epidemiology Female Genome-Wide Association Study Humans Incidence Leukocytes / physiology Male Middle Aged Myocardial Infarction / diagnosis Population Groups Prognosis Prospective Studies Risk United States / epidemiology
coronary artery disease coronary heart disease epigenetics gene expression regulation genomics

Journal

Circulation
ISSN: 1524-4539
Titre abrégé: Circulation
Pays: United States
ID NLM: 0147763

Informations de publication

Date de publication:
20 08 2019
Historique:
entrez: 20 8 2019
pubmed: 20 8 2019
medline: 28 5 2020
Statut: ppublish

Résumé

DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts. Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts. Among 11 461 individuals (mean age 64 years, 67% women, 35% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts. Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.

Sections du résumé

BACKGROUND
DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts.
METHODS
Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts.
RESULTS
Among 11 461 individuals (mean age 64 years, 67% women, 35% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts.
CONCLUSION
Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.

Identifiants

DOI: 10.1161/CIRCULATIONAHA.118.039357 PMID: 31424985 PMC: PMC6812683
pubmed: 31424985
doi: 10.1161/CIRCULATIONAHA.118.039357
pmc: PMC6812683
mid: NIHMS1535027
doi:

Types de publication

Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, N.I.H., Intramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

645-657

Subventions

Organisme : NHLBI NIH HHS
ID : RC2 HL102419
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS017950
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL120393
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201100004I
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL130114
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ID : N01HC85086
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Pays : United States
Organisme : NIDDK NIH HHS
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Organisme : NHLBI NIH HHS
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Pays : United States
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Organisme : NHLBI NIH HHS
ID : HHSN268201200036C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800001C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700001I
Pays : United States
Organisme : NIA NIH HHS
ID : HHSN271201100004C
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201700004I
Pays : United States
Organisme : NIEHS NIH HHS
ID : R21 ES020010
Pays : United States
Organisme : NIEHS NIH HHS
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Pays : United States
Organisme : NIA NIH HHS
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Pays : United States
Organisme : NHLBI NIH HHS
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Organisme : NHLBI NIH HHS
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Organisme : NHLBI NIH HHS
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Organisme : NIA NIH HHS
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Organisme : NCATS NIH HHS
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Organisme : NIEHS NIH HHS
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Organisme : NIEHS NIH HHS
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Références

Circ Res. 2015 Feb 13;116(4):751-62
pubmed: 25677521
Res Synth Methods. 2017 Sep;8(3):290-302
pubmed: 28378395
BMC Bioinformatics. 2012 May 08;13:86
pubmed: 22568884
Epidemiology. 2010 Nov;21(6):819-28
pubmed: 20805753
Circ Cardiovasc Genet. 2010 Dec;3(6):567-73
pubmed: 21156932
Am J Hum Genet. 2017 Dec 7;101(6):888-902
pubmed: 29198723
Biometrics. 2001 Mar;57(1):114-9
pubmed: 11252585
Clin Epigenetics. 2015 Dec 24;7:133
pubmed: 26705428
Atherosclerosis. 2016 Aug;251:85-93
pubmed: 27289190
Mol Cell Biol. 2007 Mar;27(5):1649-64
pubmed: 17189427
Am J Hum Genet. 2011 May 13;88(5):586-98
pubmed: 21565292
Circulation. 2009 Aug 25;120(8):677-86
pubmed: 19667237
Elife. 2018 May 30;7:
pubmed: 29846171
Circ Cardiovasc Genet. 2016 Oct;9(5):436-447
pubmed: 27651444
Discov Med. 2011 Apr;11(59):359-66
pubmed: 21524389
Aging (Albany NY). 2014 May;6(5):399-413
pubmed: 24861132
BMC Med Genomics. 2011 Dec 05;4:83
pubmed: 22136666
Biometrics. 1986 Jun;42(2):293-9
pubmed: 3741971
Kidney Int. 2015 May;87(5):1017-29
pubmed: 25493955
PLoS Med. 2017 Jan 17;14(1):e1002215
pubmed: 28095459
Nat Genet. 2017 Sep;49(9):1392-1397
pubmed: 28714974
BMJ. 2011 Apr 19;342:d2040
pubmed: 21505219
Circulation. 2014 Aug 12;130(7):565-72
pubmed: 24920721
Biometrics. 1984 Mar;40(1):63-75
pubmed: 6375751
BMC Genet. 2017 Dec 08;18(1):105
pubmed: 29221444
Circ Cardiovasc Genet. 2014 Dec;7(6):790-8
pubmed: 25217174
Genome Biol. 2016 Dec 12;17(1):255
pubmed: 27955697
Circ Res. 2015 Jul 3;117(2):192-206
pubmed: 26139858
Diabetologia. 2018 Feb;61(2):354-368
pubmed: 29164275
Genome Res. 2002 Jun;12(6):996-1006
pubmed: 12045153
Nat Genet. 2015 Oct;47(10):1121-1130
pubmed: 26343387
Clin Epigenetics. 2017 Feb 7;9:15
pubmed: 28194238
Nat Genet. 2003 Mar;33 Suppl:245-54
pubmed: 12610534
PLoS Genet. 2013;9(9):e1003796
pubmed: 24068962
Hum Mol Genet. 2008 Oct 15;17(R2):R122-8
pubmed: 18852200
J Mol Cell Cardiol. 2011 Oct;51(4):600-6
pubmed: 21059352
Lancet. 2014 Jun 7;383(9933):1990-8
pubmed: 24630777
Circulation. 2017 Sep 5;136(10):e196
pubmed: 28874428
JAMA. 2017 Jul 25;318(4):371-380
pubmed: 28742912
Nature. 2011 Sep 14;477(7364):260-1
pubmed: 21921892
Epigenetics. 2014 Mar;9(3):366-76
pubmed: 24253112
Epidemiology. 2013 May;24(3):346-8
pubmed: 23549178
Clin Epigenetics. 2017 May 15;9:54
pubmed: 28515798
PLoS One. 2010 Mar 15;5(3):e9692
pubmed: 20300621
Gene. 2014 May 10;541(1):31-40
pubmed: 24582973
Genome Biol. 2014 Feb 04;15(2):R31
pubmed: 24495553
Circulation. 2017 Mar 7;135(10):e146-e603
pubmed: 28122885
PLoS Genet. 2010 Jul 22;6(7):e1001035
pubmed: 20661308

Auteurs

Golareh Agha (G)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York (G.A., A.A.B.).

Michael M Mendelson (MM)

Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (M.M.M., D.L., R.J.).
Framingham Heart Study, MA (M.M.M., D.L.).
Department of Cardiology, Boston Children's Hospital, MA (M.M.M.).

Cavin K Ward-Caviness (CK)

National Health and Environmental Effects Research Laboratory, Environmental Public Health Division, Chapel Hill, NC (C.K.W.C.).
Institute of Epidemiology II, Helmholtz Institute, Ingolstaedter Landstrasse 1, Neuherberg, Germany (C.K.W.C.).

Roby Joehanes (R)

Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (M.M.M., D.L., R.J.).
Hebrew SeniorLife, Harvard Medical School, Boston, MA (R.J.).

TianXiao Huan (T)

The Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD (T.X.H.).

Rahul Gondalia (R)

Department of Epidemiology (R.G.), University of North Carolina, Chapel Hill.

Elias Salfati (E)

Department of Medicine, Stanford University School of Medicine, CA (E.S., P.S.T.).

Jennifer A Brody (JA)

Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle (J.A.B., J.S.F., K.L.W.).

Giovanni Fiorito (G)

Italian Institute for Genomic Medicine (IIGM/HuGeF) and Department of Medical Sciences, University of Turin, Italy (G.F., S.G., G.M.).

Jan Bressler (J)

Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston (J.B.).

Brian H Chen (BH)

Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD (B.H.C., T.T.).

Symen Ligthart (S)

Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands (S.L.).

Simonetta Guarrera (S)

Italian Institute for Genomic Medicine (IIGM/HuGeF) and Department of Medical Sciences, University of Turin, Italy (G.F., S.G., G.M.).

Elena Colicino (E)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY (E.C., A.C.J.).

Allan C Just (AC)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY (E.C., A.C.J.).

Simone Wahl (S)

Research Unit Molecualr Epidemiology, Helmholtz Zentrum München, Germany (S.W., C.G.).

Christian Gieger (C)

Research Unit Molecualr Epidemiology, Helmholtz Zentrum München, Germany (S.W., C.G.).

Amy R Vandiver (AR)

Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD (A.R.V., M.M.).

Toshiko Tanaka (T)

Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD (B.H.C., T.T.).

Dena G Hernandez (DG)

Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD (D.G.H., A.B.S.).

Luke C Pilling (LC)

Epidemiology and Public Health Group, University of Exeter Medical School, United Kingdom (L.C.P.).

Andrew B Singleton (AB)

Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD (D.G.H., A.B.S.).

Carlotta Sacerdote (C)

Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy (C.S.).

Vittorio Krogh (V)

Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy (V.K.).

Salvatore Panico (S)

Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy (S.P.).

Rosario Tumino (R)

Cancer Registry And Histopathology Department, Civic- M.P. Arezzo2 Hospital, Asp Ragusa, Italy (R.T.).

Yun Li (Y)

Department of Genetics, Department of Biostatistics, Department of Computer Science (Y.L.), University of North Carolina, Chapel Hill.

Guosheng Zhang (G)

Curriculum in Bioinformatics and Computational Biology, Department of Genetics, and Department of Statistics (G.Z.), University of North Carolina, Chapel Hill.

James D Stewart (JD)

Carolina Population Center and Department of Epidemiology (J.D.S.), University of North Carolina, Chapel Hill.

James S Floyd (JS)

Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle (J.A.B., J.S.F., K.L.W.).

Kerri L Wiggins (KL)

Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle (J.A.B., J.S.F., K.L.W.).

Jerome I Rotter (JI)

The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA (J.I.R.).

Michael Multhaup (M)

Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD (A.R.V., M.M.).

Kelly Bakulski (K)

Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor (K.B.).

Steven Horvath (S)

Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles (S.H.).

Philip S Tsao (PS)

Department of Medicine, Stanford University School of Medicine, CA (E.S., P.S.T.).

Devin M Absher (DM)

HudsonAlpha institute of Biotechnology, Huntsville, AL (D.M.A.).

Pantel Vokonas (P)

VA Normative Aging Study, VA Boston Healthcare System, Department of Medicine, Boston University School of Medicine, MA (P.V.).

Joel Hirschhorn (J)

Department of Medicine, Division of Endocrinology, Boston Children's Hospital, MA (J.H.).
Departments of Medicine and Pediatrics, Harvard Medical School, Boston, MA (J.H.).

M Daniele Fallin (MD)

Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (M.D.F.).

Chunyu Liu (C)

Department of Biostatistics, Boston University School of Public Health, MA (C.L.).

Stefania Bandinelli (S)

Azienda Sanitaria, USL Centro Firenze, Italy (S.B.).

Eric Boerwinkle (E)

Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston (E.B.).
Human Genome Sequencing Center, Baylor College of Medicine, TX (E.B.).

Abbas Dehghan (A)

Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of 346 Public Health, Imperial College London, United Kingdom (A.D.).

Joel D Schwartz (JD)

Department of Epidemiology and Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA (J.D.S.).

Bruce M Psaty (BM)

Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle (B.M.P.).
Kaiser Permanente Washington Health Research Institute, Seattle (B.M.P.).

Andrew P Feinberg (AP)

Departments of Medicine, Biomedical Engineering, and Mental Health, Johns Hopkins University, Baltimore, MD (A.P.F.).

Lifang Hou (L)

Center for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center and Department of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL (L.H.).

Luigi Ferrucci (L)

Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD (L.F.).

Nona Sotoodehnia (N)

Division of Cardiology, Departments of Medicine and Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle (N.S.).

Giuseppe Matullo (G)

Italian Institute for Genomic Medicine (IIGM/HuGeF) and Department of Medical Sciences, University of Turin, Italy (G.F., S.G., G.M.).

Annette Peters (A)

Helmholtz Zentrum München, Institute of Epidemiology, Neuherberg, Germany; German Research Center for Cardiovascular Disease (DzHK e.V. - partner site Munich), Germany (A.P.).
Ludwig-Maximilians University, Institute for Biometry, Medical Information Science and Epidemiology, Munich, Germany (A.P.).

Myriam Fornage (M)

Brown Foundation Institute of Molecular Medicine McGovern Medical School, and Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston (M.F.).

Themistocles L Assimes (TL)

Department of Medicine (Cardiovascular Medicine), and Department of Health Research & Policy, Stanford University School of Medicine, CA (T.L.A.).

Eric A Whitsel (EA)

Department of Epidemiology, Gillings School of Global Public Health, and Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill (E.A.W.).

Daniel Levy (D)

Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (M.M.M., D.L., R.J.).
Framingham Heart Study, MA (M.M.M., D.L.).

Andrea A Baccarelli (AA)

Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York (G.A., A.A.B.).

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Maladies cardiovasculaires › Maladies vasculaires › Ischémie myocardique › Maladie coronarienne › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Phénomènes génétiques › Structures génétiques › Génome › Composants de génome › Ilots CpG › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Phénomènes génétiques › Méthylation de l'ADN › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Régions géographiques › Europe › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Épidémiologie moléculaire › Étude d'association pangénomique › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Registre civil › Morbidité › Incidence › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Systèmes sanguin et immunitaire › Système immunitaire › Leucocytes › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Adulte d'âge moyen › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › États, signes et symptômes pathologiques › Processus pathologiques › Nécrose › Infarctus › Infarctus du myocarde › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Caractéristiques de la population › Groupes de population › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Diagnostic › Pronostic › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études prospectives › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Blood Leukocyte DNA Methylation Predicts Risk...
questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Nord › États-Unis › Blood Leukocyte DNA Methylation Predicts Risk...