Dataset Information

Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges.

ABSTRACT: Whereas moderate drinking may have health benefits, excessive alcohol consumption causes many important acute and chronic diseases and is the third leading contributor to preventable death in the United States. Twin studies suggest that alcohol-consumption patterns are heritable (50%); however, multiple genetic variants of modest effect size are likely to contribute to this heritable variation. Genome-wide association studies provide a tool for discovering genetic loci that contribute to variations in alcohol consumption. Opportunities exist to identify susceptibility loci with modest effect by meta-analyzing together multiple studies. However, existing studies assessed many different aspects of alcohol use, such as typical compared with heavy drinking, and these different assessments can be difficult to reconcile. In addition, many studies lack the ability to distinguish between lifetime and recent abstention or to assess the pattern of drinking during the week, and a variety of such concerns surround the appropriateness of developing a common summary measure of alcohol intake. Combining such measures of alcohol intake can cause heterogeneity and exposure misclassification, cause a reduction in power, and affect the magnitude of genetic association signals. In this review, we discuss the challenges associated with harmonizing alcohol-consumption data from studies with widely different assessment instruments, with a particular focus on large-scale genetic studies.

SUBMITTER: Agrawal A

PROVIDER: S-EPMC3278237 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature

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Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges.

Agrawal Arpana A Freedman Neal D ND Cheng Yu-Ching YC Lin Peng P Shaffer John R JR Sun Qi Q Taylor Kira K Yaspan Brian B Cole John W JW Cornelis Marilyn C MC DeSensi Rebecca S RS Fitzpatrick Annette A Heiss Gerardo G Kang Jae H JH O'Connell Jeffrey J Bennett Siiri S Bookman Ebony E Bucholz Kathleen K KK Caporaso Neil N Crout Richard R Dick Danielle M DM Edenberg Howard J HJ Goate Alison A Hesselbrock Victor V Kittner Steven S Kramer John J Nurnberger John I JI Qi Lu L Rice John P JP Schuckit Marc M van Dam Rob M RM Boerwinkle Eric E Hu Frank F Levy Steven S Marazita Mary M Mitchell Braxton D BD Pasquale Louis R LR Bierut Laura J LJ

The American journal of clinical nutrition 20120201 3

Whereas moderate drinking may have health benefits, excessive alcohol consumption causes many important acute and chronic diseases and is the third leading contributor to preventable death in the United States. Twin studies suggest that alcohol-consumption patterns are heritable (50%); however, multiple genetic variants of modest effect size are likely to contribute to this heritable variation. Genome-wide association studies provide a tool for discovering genetic loci that contribute to variati ...[more]

PMID: 22301922

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Project description:ImportanceA previous meta-analysis of the association between alcohol use and all-cause mortality found no statistically significant reductions in mortality risk at low levels of consumption compared with lifetime nondrinkers. However, the risk estimates may have been affected by the number and quality of studies then available, especially those for women and younger cohorts.ObjectiveTo investigate the association between alcohol use and all-cause mortality, and how sources of bias may change results.Data sourcesA systematic search of PubMed and Web of Science was performed to identify studies published between January 1980 and July 2021.Study selectionCohort studies were identified by systematic review to facilitate comparisons of studies with and without some degree of controls for biases affecting distinctions between abstainers and drinkers. The review identified 107 studies of alcohol use and all-cause mortality published from 1980 to July 2021.Data extraction and synthesisMixed linear regression models were used to model relative risks, first pooled for all studies and then stratified by cohort median age (<56 vs ≥56 years) and sex (male vs female). Data were analyzed from September 2021 to August 2022.Main outcomes and measuresRelative risk estimates for the association between mean daily alcohol intake and all-cause mortality.ResultsThere were 724 risk estimates of all-cause mortality due to alcohol intake from the 107 cohort studies (4 838 825 participants and 425 564 deaths available) for the analysis. In models adjusting for potential confounding effects of sampling variation, former drinker bias, and other prespecified study-level quality criteria, the meta-analysis of all 107 included studies found no significantly reduced risk of all-cause mortality among occasional (>0 to <1.3 g of ethanol per day; relative risk [RR], 0.96; 95% CI, 0.86-1.06; P = .41) or low-volume drinkers (1.3-24.0 g per day; RR, 0.93; P = .07) compared with lifetime nondrinkers. In the fully adjusted model, there was a nonsignificantly increased risk of all-cause mortality among drinkers who drank 25 to 44 g per day (RR, 1.05; P = .28) and significantly increased risk for drinkers who drank 45 to 64 and 65 or more grams per day (RR, 1.19 and 1.35; P < .001). There were significantly larger risks of mortality among female drinkers compared with female lifetime nondrinkers (RR, 1.22; P = .03).Conclusions and relevanceIn this updated systematic review and meta-analysis, daily low or moderate alcohol intake was not significantly associated with all-cause mortality risk, while increased risk was evident at higher consumption levels, starting at lower levels for women than men.

Dataset Information

Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges.

Publications

Measuring alcohol consumption for genomic meta-analyses of alcohol intake: opportunities and challenges.

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