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Association analysis between an epigenetic alcohol risk score and blood pressure.
Bui, Helena; Keshawarz, Amena; Wang, Mengyao; Lee, Mikyeong; Ratliff, Scott M; Lin, Lisha; Birditt, Kira S; Faul, Jessica D; Peters, Annette; Gieger, Christian; Delerue, Thomas; Kardia, Sharon L R; Zhao, Wei; Guo, Xiuqing; Yao, Jie; Rotter, Jerome I; Li, Yi; Liu, Xue; Liu, Dan; Tavares, Juliana F; Pehlivan, Gökhan; Breteler, Monique M B; Karabegovic, Irma; Ochoa-Rosales, Carolina; Voortman, Trudy; Ghanbari, Mohsen; van Meurs, Joyce B J; Nasr, Mohamed Kamal; Dörr, Marcus; Grabe, Hans J; London, Stephanie J; Teumer, Alexander; Waldenberger, Melanie; Weir, David R; Smith, Jennifer A; Levy, Daniel; Ma, Jiantao; Liu, Chunyu.
Afiliación
  • Bui H; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
  • Keshawarz A; Framingham Heart Study, Framingham, MA, USA.
  • Wang M; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
  • Lee M; Framingham Heart Study, Framingham, MA, USA.
  • Ratliff SM; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Lin L; Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA.
  • Birditt KS; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Faul JD; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Peters A; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI.
  • Gieger C; Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI.
  • Delerue T; Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, German.
  • Kardia SLR; Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Zhao W; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
  • Guo X; German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
  • Yao J; Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany.
  • Rotter JI; Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany.
  • Li Y; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Liu X; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI.
  • Liu D; The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
  • Tavares JF; The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
  • Pehlivan G; The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA.
  • Breteler MMB; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Karabegovic I; Department of Biostatistics, Boston University School of Public Health, Boston, MA.
  • Ochoa-Rosales C; Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Voortman T; Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Ghanbari M; Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • van Meurs JBJ; Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Nasr MK; Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany.
  • Dörr M; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • Grabe HJ; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • London SJ; Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile.
  • Teumer A; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • Waldenberger M; Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands.
  • Weir DR; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • Smith JA; Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
  • Levy D; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
  • Ma J; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
  • Liu C; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
medRxiv ; 2024 Apr 11.
Article en En | MEDLINE | ID: mdl-38464320
ABSTRACT

Background:

Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases.

Results:

We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day (p < 0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 (p = 0.002) and 0.50 (p = 0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n = 3,260) and five independent external cohorts (n = 4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN.

Conclusions:

Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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