SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Johnson EC, St Pierre CL, Meyers J, Aliev F, McCutcheon VV, Lai D, Dick DM, Goate AM, Kramer J, Kuperman S, Nurnberger JI, Schuckit MA, Porjesz B, Edenberg HJ, Bucholz KK, Agrawal A. Alcohol Clin. Exp. Res. 2019; 43(6): 1113-1125.

Affiliation

Washington University School of Medicine, Department of Psychiatry, St. Louis, MO, USA.

Copyright

(Copyright © 2019, John Wiley and Sons)

DOI

10.1111/acer.14064

PMID

30994927

Abstract

BACKGROUND: Genome-wide association studies (GWAS) have begun to identify loci related to alcohol consumption, but little is known about whether this genetic propensity overlaps with specific indices of problem drinking in ascertained samples.

METHODS: In 6,731 European-Americans who had been exposed to alcohol, we examined whether polygenic risk scores (PRS) from a GWAS of weekly alcohol consumption in the UK Biobank predicted variance in 6 alcohol-related phenotypes: alcohol use, maximum drinks within 24 hours (MAXD), total score on the self-rating of effects of ethanol questionnaire (SRE-T), DSM-IV alcohol dependence (DSM4AD), DSM-5 alcohol use disorder symptom counts (DSM5AUDSX), and reduction/cessation of problematic drinking. We also examined the extent to which an SNP (rs1229984) in ADH1B, which is strongly associated with both alcohol consumption and dependence, contributed to the polygenic association with these phenotypes and whether PRS interacted with sex, age, or family history of alcoholism to predict alcohol-related outcomes. We performed mixed effect regression analyses, with family membership and recruitment site included as random effects, as well as survival modeling of age of onset of DSM-IV alcohol dependence.

RESULTS: PRS for alcohol consumption significantly predicted variance in five of the six outcomes: alcohol use (Δmarginal R2 =1.39%, Δ AUC=0.011), DSM4AD (Δmarginal R2 =0.56%; Δ AUC=0.003), DSM5AUDSX (Δmarginal R2 =0.49%), MAXD (Δmarginal R2 = 0.31%), and SRE-T (Δmarginal R2 = 0.22%). PRS were also associated with onset of DSM4AD (hazard ratio = 1.11, p = 2.08e-5). The inclusion of rs1229984 attenuated the effects of the alcohol consumption PRS, particularly for DSM4AD and DSM5AUDSX, but the PRS continued to exert an independent effect for all five alcohol measures (Δmarginal R2 after controlling for ADH1B = 0.14 - 1.22%). Interactions between PRS and sex, age or family history were nonsignificant.

CONCLUSION: Genetic propensity for typical alcohol consumption was associated with alcohol use, and was also associated with 4 of the additional 5 outcomes, though the variance explained in this sample was modest. Future GWAS that focus on the multi-faceted nature of alcohol use disorder, which goes beyond consumption, might reveal additional information regarding the polygenic underpinnings of problem drinking. This article is protected by copyright. All rights reserved.

This article is protected by copyright. All rights reserved.


Language: en

Keywords

ADH1B
; alcohol consumption; alcohol dependence; polygenic risk

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print