Clinical Epigenetics (Oct 2024)
Association analysis between an epigenetic alcohol risk score and blood pressure
- Helena Bui,
- Amena Keshawarz,
- Mengyao Wang,
- Mikyeong Lee,
- Scott M. Ratliff,
- Lisha Lin,
- Kira S. Birditt,
- Jessica D. Faul,
- Annette Peters,
- Christian Gieger,
- Thomas Delerue,
- Sharon L. R. Kardia,
- Wei Zhao,
- Xiuqing Guo,
- Jie Yao,
- Jerome I. Rotter,
- Yi Li,
- Xue Liu,
- Dan Liu,
- Juliana F. Tavares,
- Gökhan Pehlivan,
- Monique M. B. Breteler,
- Irma Karabegovic,
- Carolina Ochoa-Rosales,
- Trudy Voortman,
- Mohsen Ghanbari,
- Joyce B. J. van Meurs,
- Mohamed Kamal Nasr,
- Marcus Dörr,
- Hans J. Grabe,
- Stephanie J. London,
- Alexander Teumer,
- Melanie Waldenberger,
- David R. Weir,
- Jennifer A. Smith,
- Daniel Levy,
- Jiantao Ma,
- Chunyu Liu
Affiliations
- Helena Bui
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health
- Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health
- Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston University
- Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services
- Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan
- Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan
- Kira S. Birditt
- Survey Research Center, Institute for Social Research, University of Michigan
- Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan
- Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health
- Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance
- Thomas Delerue
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich
- Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan
- Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan
- Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
- Yi Li
- Department of Biostatistics, Boston University School of Public Health, Boston University
- Xue Liu
- Department of Biostatistics, Boston University School of Public Health, Boston University
- Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE)
- Juliana F. Tavares
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE)
- Gökhan Pehlivan
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE)
- Monique M. B. Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE)
- Irma Karabegovic
- Department of Epidemiology, Erasmus MC University Medical Center
- Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center
- Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center
- Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center
- Joyce B. J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center
- Mohamed Kamal Nasr
- Institute for Community Medicine, University Medicine Greifswald
- Marcus Dörr
- German Center for Cardiovascular Research (DZHK)
- Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine
- Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services
- Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald
- Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance
- David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan
- Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan
- Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health
- Jiantao Ma
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University
- Chunyu Liu
- Framingham Heart Study
- DOI
- https://doi.org/10.1186/s13148-024-01753-4
- Journal volume & issue
-
Vol. 16,
no. 1
pp. 1 – 12
Abstract
Abstract Background Epigenome‐wide association studies have identified multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. This study aimed to test the hypothesis that an alcohol consumption epigenetic risk score (ERS) is associated with blood pressure (BP) traits. Results We implemented an ERS based on a previously reported epigenetic signature of 144 alcohol-associated CpGs in meta-analysis of participants of European ancestry. We found a one-unit increment of ERS was associated with eleven drinks of alcohol consumed per day, on average, across several cohorts (p < 0.0001). We 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. 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 BP levels, i.e., a one-unit increase in ERS was associated with 0.74 mm Hg (p = 0.002) higher SBP and 0.50 mm Hg (p = 0.0006) higher DBP, but not with HTN. Longitudinal analyses in FHS (n = 3260) and five independent external cohorts (n = 4021) showed that the baseline ERS was not associated with a change in BP over time or with incident HTN. Conclusions Our findings demonstrate that the ERS has potential clinical utility in assessing lifestyle factors related to cardiovascular risk, especially when self-reported behavioral data (e.g., alcohol consumption) are unreliable or unavailable. Graphic Abstract
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