Literature DB >> 33277923

Associations of Alcohol Consumption With Epigenome-Wide DNA Methylation and Epigenetic Age Acceleration: Individual-Level and Co-twin Comparison Analyses.

Mallory Stephenson1, Sailalitha Bollepalli2, Emma Cazaly2, Jessica E Salvatore1,3, Peter Barr1, Richard J Rose4, Danielle Dick1,5, Jaakko Kaprio2,6, Miina Ollikainen2,6.   

Abstract

BACKGROUND: DNA methylation may play a role in the progression from normative to problematic drinking and underlie adverse health outcomes associated with alcohol misuse. We examined the association between alcohol consumption and DNA methylation patterns using 3 approaches: a conventional epigenome-wide association study (EWAS); a co-twin comparison design, which controls for genetic and environmental influences that twins share; and a regression of age acceleration, defined as a discrepancy between chronological age and DNA methylation age, on alcohol consumption.
METHODS: Participants came from the Finnish Twin Cohorts (FinnTwin12/FinnTwin16; N = 1,004; 55% female; average age = 23 years). Individuals reported the number of alcoholic beverages consumed in the past week, and epigenome-wide DNA methylation was assessed in whole blood using the Infinium HumanMethylation450 BeadChip.
RESULTS: In the EWAS, alcohol consumption was significantly related to methylation at 24 CpG sites. When evaluating whether differences between twin siblings (185 monozygotic pairs) in alcohol consumption predicted differences in DNA methylation, co-twin comparisons replicated 4 CpG sites from the EWAS and identified 23 additional sites. However, when we examined qualitative differences in drinking patterns between twins (heavy drinker vs. light drinker/abstainer or moderate drinker vs. abstainer; 44 pairs), methylation patterns did not significantly differ within twin pairs. Finally, individuals who reported higher alcohol consumption also exhibited greater age acceleration, though results were no longer significant after controlling for genetic and environmental influences shared by co-twins.
CONCLUSIONS: Our analyses offer insight into the associations between epigenetic variation and levels of alcohol consumption in young adulthood.
© 2020 by the Research Society on Alcoholism.

Entities:  

Keywords:  Age Acceleration; Alcohol; Co-twin Comparisons; FinnTwin12; epigenome-wide association study

Mesh:

Year:  2020        PMID: 33277923      PMCID: PMC8120951          DOI: 10.1111/acer.14528

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  52 in total

Review 1.  DNA methylation-based biomarkers and the epigenetic clock theory of ageing.

Authors:  Steve Horvath; Kenneth Raj
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

Review 2.  The Finnish Twin Cohort Study: an update.

Authors:  Jaakko Kaprio
Journal:  Twin Res Hum Genet       Date:  2013-01-08       Impact factor: 1.587

3.  To cause or not to cause? That is the question, but identical twins might not have all of the answers.

Authors:  Jason D Boardman; Jason M Fletcher
Journal:  Soc Sci Med       Date:  2014-10-08       Impact factor: 4.634

4.  limma powers differential expression analyses for RNA-sequencing and microarray studies.

Authors:  Matthew E Ritchie; Belinda Phipson; Di Wu; Yifang Hu; Charity W Law; Wei Shi; Gordon K Smyth
Journal:  Nucleic Acids Res       Date:  2015-01-20       Impact factor: 16.971

5.  A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA.

Authors:  K K Bucholz; R Cadoret; C R Cloninger; S H Dinwiddie; V M Hesselbrock; J I Nurnberger; T Reich; I Schmidt; M A Schuckit
Journal:  J Stud Alcohol       Date:  1994-03

6.  Hypermethylation of OPRM1 promoter region in European Americans with alcohol dependence.

Authors:  Huiping Zhang; Aryeh I Herman; Henry R Kranzler; Raymond F Anton; Arthur A Simen; Joel Gelernter
Journal:  J Hum Genet       Date:  2012-08-23       Impact factor: 3.172

7.  The impact of recent alcohol use on genome wide DNA methylation signatures.

Authors:  Robert A Philibert; Jeffrey M Plume; Frederick X Gibbons; Gene H Brody; Steven R H Beach
Journal:  Front Genet       Date:  2012-04-10       Impact factor: 4.599

8.  Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations.

Authors:  Henry R Kranzler; Hang Zhou; Rachel L Kember; Rachel Vickers Smith; Amy C Justice; Scott Damrauer; Philip S Tsao; Derek Klarin; Aris Baras; Jeffrey Reid; John Overton; Daniel J Rader; Zhongshan Cheng; Janet P Tate; William C Becker; John Concato; Ke Xu; Renato Polimanti; Hongyu Zhao; Joel Gelernter
Journal:  Nat Commun       Date:  2019-04-02       Impact factor: 14.919

9.  Neurodevelopmental alcohol exposure elicits long-term changes to gene expression that alter distinct molecular pathways dependent on timing of exposure.

Authors:  Morgan L Kleiber; Katarzyna Mantha; Randa L Stringer; Shiva M Singh
Journal:  J Neurodev Disord       Date:  2013-03-13       Impact factor: 4.025

10.  Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders.

Authors:  Raymond K Walters; Renato Polimanti; Emma C Johnson; Jeanette N McClintick; Mark J Adams; Amy E Adkins; Fazil Aliev; Silviu-Alin Bacanu; Anthony Batzler; Sarah Bertelsen; Joanna M Biernacka; Tim B Bigdeli; Li-Shiun Chen; Toni-Kim Clarke; Yi-Ling Chou; Franziska Degenhardt; Anna R Docherty; Alexis C Edwards; Pierre Fontanillas; Jerome C Foo; Louis Fox; Josef Frank; Ina Giegling; Scott Gordon; Laura M Hack; Annette M Hartmann; Sarah M Hartz; Stefanie Heilmann-Heimbach; Stefan Herms; Colin Hodgkinson; Per Hoffmann; Jouke Jan Hottenga; Martin A Kennedy; Mervi Alanne-Kinnunen; Bettina Konte; Jari Lahti; Marius Lahti-Pulkkinen; Dongbing Lai; Lannie Ligthart; Anu Loukola; Brion S Maher; Hamdi Mbarek; Andrew M McIntosh; Matthew B McQueen; Jacquelyn L Meyers; Yuri Milaneschi; Teemu Palviainen; John F Pearson; Roseann E Peterson; Samuli Ripatti; Euijung Ryu; Nancy L Saccone; Jessica E Salvatore; Sandra Sanchez-Roige; Melanie Schwandt; Richard Sherva; Fabian Streit; Jana Strohmaier; Nathaniel Thomas; Jen-Chyong Wang; Bradley T Webb; Robbee Wedow; Leah Wetherill; Amanda G Wills; Jason D Boardman; Danfeng Chen; Doo-Sup Choi; William E Copeland; Robert C Culverhouse; Norbert Dahmen; Louisa Degenhardt; Benjamin W Domingue; Sarah L Elson; Mark A Frye; Wolfgang Gäbel; Caroline Hayward; Marcus Ising; Margaret Keyes; Falk Kiefer; John Kramer; Samuel Kuperman; Susanne Lucae; Michael T Lynskey; Wolfgang Maier; Karl Mann; Satu Männistö; Bertram Müller-Myhsok; Alison D Murray; John I Nurnberger; Aarno Palotie; Ulrich Preuss; Katri Räikkönen; Maureen D Reynolds; Monika Ridinger; Norbert Scherbaum; Marc A Schuckit; Michael Soyka; Jens Treutlein; Stephanie Witt; Norbert Wodarz; Peter Zill; Daniel E Adkins; Joseph M Boden; Dorret I Boomsma; Laura J Bierut; Sandra A Brown; Kathleen K Bucholz; Sven Cichon; E Jane Costello; Harriet de Wit; Nancy Diazgranados; Danielle M Dick; Johan G Eriksson; Lindsay A Farrer; Tatiana M Foroud; Nathan A Gillespie; Alison M Goate; David Goldman; Richard A Grucza; Dana B Hancock; Kathleen Mullan Harris; Andrew C Heath; Victor Hesselbrock; John K Hewitt; Christian J Hopfer; John Horwood; William Iacono; Eric O Johnson; Jaakko A Kaprio; Victor M Karpyak; Kenneth S Kendler; Henry R Kranzler; Kenneth Krauter; Paul Lichtenstein; Penelope A Lind; Matt McGue; James MacKillop; Pamela A F Madden; Hermine H Maes; Patrik Magnusson; Nicholas G Martin; Sarah E Medland; Grant W Montgomery; Elliot C Nelson; Markus M Nöthen; Abraham A Palmer; Nancy L Pedersen; Brenda W J H Penninx; Bernice Porjesz; John P Rice; Marcella Rietschel; Brien P Riley; Richard Rose; Dan Rujescu; Pei-Hong Shen; Judy Silberg; Michael C Stallings; Ralph E Tarter; Michael M Vanyukov; Scott Vrieze; Tamara L Wall; John B Whitfield; Hongyu Zhao; Benjamin M Neale; Joel Gelernter; Howard J Edenberg; Arpana Agrawal
Journal:  Nat Neurosci       Date:  2018-11-26       Impact factor: 24.884

View more
  3 in total

1.  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

2.  Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning.

Authors:  Elina Sillanpää; Aino Heikkinen; Anna Kankaanpää; Aini Paavilainen; Urho M Kujala; Tuija H Tammelin; Vuokko Kovanen; Sarianna Sipilä; Kirsi H Pietiläinen; Jaakko Kaprio; Miina Ollikainen; Eija K Laakkonen
Journal:  Clin Epigenetics       Date:  2021-05-17       Impact factor: 6.551

3.  Variation in Genotype and DNA Methylation Patterns Based on Alcohol Use and CVD in the Korean Genome and Epidemiology Study (KoGES).

Authors:  Myoungjee Jung; Yeon-Soon Ahn; Sei-Jin Chang; Chun-Bae Kim; Kyoung Sook Jeong; Sang-Baek Koh; Jeong-An Gim
Journal:  Genes (Basel)       Date:  2022-01-19       Impact factor: 4.096

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.