Literature DB >> 34038541

Alcohol Consumption and Methylation-Based Measures of Biological Age.

Jacob K Kresovich1, Alexandra M Martinez Lopez2, Emma L Garval3, Zongli Xu1, Alexandra J White1, Dale P Sandler1, Jack A Taylor1,4.   

Abstract

Epigenetic age acceleration is considered a measure of biological aging based on genome-wide patterns of DNA methylation. Although age acceleration has been associated with the incidence of diseases and death, less is known about how it is related to lifestyle behaviors. Among 2316 women, we evaluate associations between self-reported alcohol consumption and various metrics of epigenetic age acceleration. Recent average alcohol consumption was defined as the mean number of drinks consumed per week within the past year; lifetime average consumption was estimated as the mean number of drinks per year drinking. Whole-blood genome-wide DNA methylation was measured with HumanMethylation450 BeadChips and used to assess 4 epigenetic clocks (Hannum, Horvath, PhenoAge, and GrimAge) and their corresponding metrics of epigenetic age acceleration (Hannum AgeAccel, Horvath AgeAccel, PhenoAgeAccel, and GrimAgeAccel). Although alcohol consumption showed little association with most age acceleration metrics, both lifetime and recent average consumption measures were positively associated with GrimAgeAccel (lifetime, per additional 135 drinks/year: β = 0.30 years, 95% confidence interval [CI]: 0.11, 0.48, p = .002; recent, per additional 5 drinks/week: β = 0.19 years, 95% CI: 0.01, 0.37, p = .04). In a mutually adjusted model, only average lifetime alcohol consumption remained associated with GrimAgeAccel (lifetime, per additional 135 drinks/year: β = 0.27 years, 95% CI: 0.04, 0.50, p = .02; recent, per 5 additional drinks/week: β = 0.05 years, 95% CI: -0.16, 0.26, p = .64). Although alcohol use does not appear to be strongly associated with biological age measured by most epigenetic clocks, lifetime average consumption is associated with higher biological age assessed by the GrimAge epigenetic clock. Published by Oxford University Press on behalf of The Gerontological Society of America 2021.

Entities:  

Keywords:  Alcohol consumption; Biological age; DNA methylation; Epigenetic clock

Mesh:

Year:  2021        PMID: 34038541      PMCID: PMC8599006          DOI: 10.1093/gerona/glab149

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.591


  26 in total

1.  Associations of Body Composition and Physical Activity Level With Multiple Measures of Epigenetic Age Acceleration.

Authors:  Jacob K Kresovich; Emma L Garval; Alexandra M Martinez Lopez; Zongli Xu; Nicole M Niehoff; Alexandra J White; Dale P Sandler; Jack A Taylor
Journal:  Am J Epidemiol       Date:  2021-06-01       Impact factor: 4.897

2.  Lifetime Alcohol Intake, Binge Drinking Behaviors, and Breast Cancer Risk.

Authors:  Alexandra J White; Lisa A DeRoo; Clarice R Weinberg; Dale P Sandler
Journal:  Am J Epidemiol       Date:  2017-09-01       Impact factor: 4.897

3.  ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip.

Authors:  Zongli Xu; Liang Niu; Leping Li; Jack A Taylor
Journal:  Nucleic Acids Res       Date:  2015-09-17       Impact factor: 16.971

4.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

5.  Epigenetic clock analysis of diet, exercise, education, and lifestyle factors.

Authors:  Austin Quach; Morgan E Levine; Toshiko Tanaka; Ake T Lu; Brian H Chen; Luigi Ferrucci; Beate Ritz; Stefania Bandinelli; Marian L Neuhouser; Jeannette M Beasley; Linda Snetselaar; Robert B Wallace; Philip S Tsao; Devin Absher; Themistocles L Assimes; James D Stewart; Yun Li; Lifang Hou; Andrea A Baccarelli; Eric A Whitsel; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2017-02-14       Impact factor: 5.682

6.  Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis.

Authors:  Giovanni Fiorito; Cathal McCrory; Oliver Robinson; Cristian Carmeli; Carolina Ochoa-Rosales; Yan Zhang; Elena Colicino; Pierre-Antoine Dugué; Fanny Artaud; Gareth J McKay; Ayoung Jeong; Pashupati P Mishra; Therese H Nøst; Vittorio Krogh; Salvatore Panico; Carlotta Sacerdote; Rosario Tumino; Domenico Palli; Giuseppe Matullo; Simonetta Guarrera; Martina Gandini; Murielle Bochud; Emmanouil Dermitzakis; Taulant Muka; Joel Schwartz; Pantel S Vokonas; Allan Just; Allison M Hodge; Graham G Giles; Melissa C Southey; Mikko A Hurme; Ian Young; Amy Jayne McKnight; Sonja Kunze; Melanie Waldenberger; Annette Peters; Lars Schwettmann; Eiliv Lund; Andrea Baccarelli; Roger L Milne; Rose A Kenny; Alexis Elbaz; Hermann Brenner; Frank Kee; Trudy Voortman; Nicole Probst-Hensch; Terho Lehtimäki; Paul Elliot; Silvia Stringhini; Paolo Vineis; Silvia Polidoro
Journal:  Aging (Albany NY)       Date:  2019-04-14       Impact factor: 5.682

7.  Epigenetic mortality predictors and incidence of breast cancer.

Authors:  Jacob K Kresovich; Zongli Xu; Katie M O'Brien; Clarice R Weinberg; Dale P Sandler; Jack A Taylor
Journal:  Aging (Albany NY)       Date:  2019-12-17       Impact factor: 5.682

8.  DNA methylation age of human tissues and cell types.

Authors:  Steve Horvath
Journal:  Genome Biol       Date:  2013       Impact factor: 13.583

9.  The Sister Study Cohort: Baseline Methods and Participant Characteristics.

Authors:  Dale P Sandler; M Elizabeth Hodgson; Sandra L Deming-Halverson; Paula S Juras; Aimee A D'Aloisio; Lourdes M Suarez; Cynthia A Kleeberger; David L Shore; Lisa A DeRoo; Jack A Taylor; Clarice R Weinberg
Journal:  Environ Health Perspect       Date:  2017-12-20       Impact factor: 9.031

10.  Prediagnostic Immune Cell Profiles and Breast Cancer.

Authors:  Jacob K Kresovich; Katie M O'Brien; Zongli Xu; Clarice R Weinberg; Dale P Sandler; Jack A Taylor
Journal:  JAMA Netw Open       Date:  2020-01-03
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  6 in total

1.  The Case for Case-Cohort: An Applied Epidemiologist's Guide to Reframing Case-Cohort Studies to Improve Usability and Flexibility.

Authors:  Katie M O'Brien; Kaitlyn G Lawrence; Alexander P Keil
Journal:  Epidemiology       Date:  2022-05-01       Impact factor: 4.860

2.  A new monocyte epigenetic clock reveals nonlinear effects of alcohol consumption on biological aging in three independent cohorts (N = 2242).

Authors:  Xiaoyu Liang; Rajita Sinha; Amy C Justice; Mardge H Cohen; Bradley E Aouizerat; Ke Xu
Journal:  Alcohol Clin Exp Res       Date:  2022-03-17       Impact factor: 3.928

3.  Low Serum Klotho Associated With All-cause Mortality Among a Nationally Representative Sample of American Adults.

Authors:  Jacob K Kresovich; Catherine M Bulka
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-03-03       Impact factor: 6.591

4.  Healthy eating patterns and epigenetic measures of biological age.

Authors:  Jacob K Kresovich; Yong-Moon Mark Park; Jean A Keller; Dale P Sandler; Jack A Taylor
Journal:  Am J Clin Nutr       Date:  2022-01-11       Impact factor: 8.472

5.  Blood DNA methylation profiles improve breast cancer prediction.

Authors:  Jacob K Kresovich; Zongli Xu; Katie M O'Brien; Min Shi; Clarice R Weinberg; Dale P Sandler; Jack A Taylor
Journal:  Mol Oncol       Date:  2021-11-09       Impact factor: 7.449

6.  Work-related stress and well-being in association with epigenetic age acceleration: A Northern Finland Birth Cohort 1966 Study.

Authors:  Anna Freni-Sterrantino; Giovanni Fiorito; Angelo D'Errico; Oliver Robinson; Marianna Virtanen; Leena Ala-Mursula; Marjo-Riitta Järvelin; Justiina Ronkainen; Paolo Vineis
Journal:  Aging (Albany NY)       Date:  2022-02-02       Impact factor: 5.682

  6 in total

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