Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples.
AUDIT
Alcohol consumption
GWAS
alcohol dependence
alcohol use disorder
genetics
polygenic risk score
Journal
Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
pubmed:
21
1
2020
medline:
1
12
2021
entrez:
21
1
2020
Statut:
ppublish
Résumé
Studies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds. 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. 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). 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.
Sections du résumé
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.
Identifiants
pubmed: 31955720
doi: 10.1017/S0033291719004045
pii: S0033291719004045
pmc: PMC7405725
mid: NIHMS1614112
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1147-1156Subventions
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : NIDA NIH HHS
ID : K02 DA032573
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : NIDA NIH HHS
ID : K01 DA037914
Pays : United States
Organisme : Medical Research Council
ID : G0700704
Pays : United Kingdom
Organisme : NIAAA NIH HHS
ID : K01 AA021399
Pays : United States
Organisme : Medical Research Council
ID : MR/L022206/1
Pays : United Kingdom
Organisme : NIAAA NIH HHS
ID : P50 AA022537
Pays : United States
Organisme : NIAAA NIH HHS
ID : K02 AA018755
Pays : United States
Organisme : Medical Research Council
ID : MC_UU_00007/10
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0802736
Pays : United Kingdom
Organisme : Medical Research Council
ID : G9815508
Pays : United Kingdom
Organisme : NIAAA NIH HHS
ID : U10 AA008401
Pays : United States
Organisme : Medical Research Council
ID : G0800612
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_12028
Pays : United Kingdom
Organisme : NIAAA NIH HHS
ID : R01 AA018333
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K026992/1
Pays : United Kingdom
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