Dataset Information

Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples.

ABSTRACT:

Background

Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds.

Methods

We examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes.

Results

In COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47-0.68%, p = 2.0 × 10-8-1.0 × 10-10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10-8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10-6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10-11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10-7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10-16).

Conclusions

AUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.

SUBMITTER: Johnson EC

PROVIDER: S-EPMC7405725 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Publications

Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples.

Johnson Emma C EC Sanchez-Roige Sandra S Acion Laura L Adams Mark J MJ Bucholz Kathleen K KK Chan Grace G Chao Michael J MJ Chorlian David B DB Dick Danielle M DM Edenberg Howard J HJ Foroud Tatiana T Hayward Caroline C Heron Jon J Hesselbrock Victor V Hickman Matthew M Kendler Kenneth S KS Kinreich Sivan S Kramer John J Kuo Sally I-Chun SI Kuperman Samuel S Lai Dongbing D McIntosh Andrew M AM Meyers Jacquelyn L JL Plawecki Martin H MH Porjesz Bernice B Porteous David D Schuckit Marc A MA Su Jinni J Zang Yong Y Palmer Abraham A AA Agrawal Arpana A Clarke Toni-Kim TK Edwards Alexis C AC

Psychological medicine 20200120 7

<h4>Background</h4>Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds.<h4>Methods</h4>We examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-ba ...[more]

PMID: 31955720

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Project description:BACKGROUND:Previous studies have identified evidence of genetic influence on alcohol use in samples selected to be informative for alcoholism research. However, there are a growing number of genome-wide association studies (GWAS) using samples unselected for alcohol consumption (i.e., selected on other traits and forms of psychopathology), which nevertheless assess consumption as a risk factor. Is it reasonable to expect that genes contributing to variation in alcohol consumption can be identified in such samples? METHODS:An exploratory approach was taken to determine whether linkage analyses for heaviness of alcohol consumption, using a sample collected for heterogeneous purposes, could replicate previous findings. Quantity and frequency measures of consumption were collected in telephone interviews from community samples. These measures, and genotyping, were available for 5,441 individuals (5,067 quasi-independent sibling pairs). For 1,533 of these individuals, data were collected on 2 occasions, about 8.2 years apart, providing 2 datasets that maximize data collected at either a younger or an older age. Analyses were conducted to address the question of whether age and heavier levels of alcohol consumption effects outcome. Linkage results were compared in the younger and older full samples, and with samples in which approximately 10, 20, and 40 of drinkers from the lower end of the distribution of alcohol consumption were dropped. RESULTS:Linkage peaks varied for the age differentiated samples and for percentage of light drinkers retained. Larger peaks (LOD scores >2.0) were typically found in regions previously identified in linkage studies and/or containing proposed candidate genes for alcoholism including AGT, CARTPT, OPRD1, PIK3R1, and PDYN. CONCLUSIONS:The results suggest that GWAS assessing alcohol consumption as a covariate for other conditions will have some success in identifying genes contributing to consumption-related variation. However, sample characteristics, such as participant age, and trait distribution, may have substantial effects on the strength of the genetic signal. These results can inform forthcoming GWAS where the same restrictions apply.

Project description:BackgroundDespite the large and growing public health problem of alcohol use disorders (AUD) in India there is a dearth of evidence about the longitudinal outcomes in AUD. The aim of this study is to describe the course and outcomes of AUD in a population based sample of men in India.MethodsA community cohort of 1899 adult (18-49 years at baseline) men who participated in a cross-sectional survey in Goa, India between 2006 and 08, were re-interviewed face to face 6 years later (2012-14). A range of outcomes including social problems (e.g., workplace problems, domestic violence), morbidity (e.g., range of physical and mental health problems), biological parameters (e.g., mean corpuscular volume [MCV], gamma-glutamyl transpeptidase [GGT]) and mortality were measured at follow up. For the association of AUD at baseline with outcomes at follow-up, multivariable logistic regression was used to estimate odds ratios (OR). Analyses were weighted to account for baseline sampling design, age distribution, rural and urban sample sizes, number of adults aged 18-49 years in the household (at baseline), and non-response (at baseline).Results1514 (79.7%) were seen at follow-up; a loss to follow up of 20.3%. At follow up, 3.7% of baseline non-drinkers and 15.0% of baseline casual drinkers had AUD. 46.9% of baseline hazardous drinkers and 55.4% baseline harmful drinkers continued to have AUD at follow up. Of those with AUD at baseline, 21.8% had stopped drinking at follow-up. Compared to being abstinent, harmful drinking at baseline was associated with several outcomes at follow-up: workplace/social problems, hypertension, death, tobacco use, suicidality, anxiety disorders, and raised GGT (p<0.002). Hazardous drinking at baseline was associated with tobacco use and raised GGT and MCV (p<0.002) at follow-up.ConclusionOur findings of high persistent and new AUD in the community and the association with a range of long term adverse events are an important addition to the limited evidence about the course and outcomes of AUD in India, which have the potential for informing health policy.

Dataset Information

Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples.

Background

Methods

Results

Conclusions

Publications

Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples.

Similar Datasets

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