Literature DB >> 31955720

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

Emma C Johnson1, Sandra Sanchez-Roige2, Laura Acion3, Mark J Adams4, Kathleen K Bucholz1, Grace Chan5, Michael J Chao6, David B Chorlian7, Danielle M Dick8,9, Howard J Edenberg10,11, Tatiana Foroud11, Caroline Hayward12, Jon Heron13, Victor Hesselbrock5, Matthew Hickman13, Kenneth S Kendler14, Sivan Kinreich7, John Kramer3, Sally I-Chun Kuo8, Samuel Kuperman3, Dongbing Lai11, Andrew M McIntosh4, Jacquelyn L Meyers7, Martin H Plawecki15, Bernice Porjesz7, David Porteous16, Marc A Schuckit2, Jinni Su17, Yong Zang18, Abraham A Palmer2,19, Arpana Agrawal1, Toni-Kim Clarke4, Alexis C Edwards14.   

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.

Entities:  

Keywords:  AUDIT; Alcohol consumption; GWAS; alcohol dependence; alcohol use disorder; genetics; polygenic risk score

Mesh:

Year:  2020        PMID: 31955720      PMCID: PMC7405725          DOI: 10.1017/S0033291719004045

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  43 in total

1.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

2.  Childhood socioeconomic status and longitudinal patterns of alcohol problems: Variation across etiological pathways in genetic risk.

Authors:  Peter B Barr; Judy Silberg; Danielle M Dick; Hermine H Maes
Journal:  Soc Sci Med       Date:  2018-05-14       Impact factor: 4.634

3.  Comparison of Parent, Peer, Psychiatric, and Cannabis Use Influences Across Stages of Offspring Alcohol Involvement: Evidence from the COGA Prospective Study.

Authors:  Kathleen K Bucholz; Vivia V McCutcheon; Arpana Agrawal; Danielle M Dick; Victor M Hesselbrock; John R Kramer; Samuel Kuperman; John I Nurnberger; Jessica E Salvatore; Marc A Schuckit; Laura J Bierut; Tatiana M Foroud; Grace Chan; Michie Hesselbrock; Jacquelyn L Meyers; Howard J Edenberg; Bernice Porjesz
Journal:  Alcohol Clin Exp Res       Date:  2017-01-10       Impact factor: 3.455

4.  Measures of current alcohol consumption and problems: two independent twin studies suggest a complex genetic architecture.

Authors:  Danielle M Dick; Jacquelyn L Meyers; Richard J Rose; Jaakko Kaprio; Kenneth S Kendler
Journal:  Alcohol Clin Exp Res       Date:  2011-06-20       Impact factor: 3.455

5.  Predicting alcohol consumption in adolescence from alcohol-specific and general externalizing genetic risk factors, key environmental exposures and their interaction.

Authors:  K S Kendler; C Gardner; D M Dick
Journal:  Psychol Med       Date:  2010-10-14       Impact factor: 7.723

6.  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

7.  Predictors of initial and sustained remission from alcohol use disorders: findings from the 30-year follow-up of the San Diego Prospective Study.

Authors:  Ryan S Trim; Marc A Schuckit; Tom L Smith
Journal:  Alcohol Clin Exp Res       Date:  2013-03-04       Impact factor: 3.455

8.  Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples.

Authors:  Jeanne E Savage; Jessica E Salvatore; Fazil Aliev; Alexis C Edwards; Matthew Hickman; Kenneth S Kendler; John Macleod; Antti Latvala; Anu Loukola; Jaakko Kaprio; Richard J Rose; Grace Chan; Victor Hesselbrock; Bradley T Webb; Amy Adkins; Tim B Bigdeli; Brien P Riley; Danielle M Dick
Journal:  Alcohol Clin Exp Res       Date:  2018-02-05       Impact factor: 3.455

9.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

10.  Polygenic risk for alcohol dependence associates with alcohol consumption, cognitive function and social deprivation in a population-based cohort.

Authors:  Toni-Kim Clarke; Andrew H Smith; Joel Gelernter; Henry R Kranzler; Lindsay A Farrer; Lynsey S Hall; Ana M Fernandez-Pujals; Donald J MacIntyre; Blair H Smith; Lynne J Hocking; Sandosh Padmanabhan; Caroline Hayward; Pippa A Thomson; David J Porteous; Ian J Deary; Andrew M McIntosh
Journal:  Addict Biol       Date:  2015-04-10       Impact factor: 4.280

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  5 in total

1.  Genetic nurture effects for alcohol use disorder.

Authors:  Nathaniel S Thomas; Jessica E Salvatore; Sally I-Chun Kuo; Fazil Aliev; Vivia V McCutcheon; Jacquelyn M Meyers; Kathleen K Bucholz; Sarah J Brislin; Grace Chan; Howard J Edenberg; Chella Kamarajan; John R Kramer; Samuel Kuperman; Gayathri Pandey; Martin H Plawecki; Marc A Schuckit; Danielle M Dick
Journal:  Mol Psychiatry       Date:  2022-10-17       Impact factor: 13.437

Review 2.  Genetics of substance use disorders in the era of big data.

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Journal:  Nat Rev Genet       Date:  2021-07-01       Impact factor: 59.581

3.  Item-Level Genome-Wide Association Study of the Alcohol Use Disorders Identification Test in Three Population-Based Cohorts.

Authors:  Travis T Mallard; Jeanne E Savage; Emma C Johnson; Yuye Huang; Alexis C Edwards; Jouke J Hottenga; Andrew D Grotzinger; Daniel E Gustavson; Mariela V Jennings; Andrey Anokhin; Danielle M Dick; Howard J Edenberg; John R Kramer; Dongbing Lai; Jacquelyn L Meyers; Ashwini K Pandey; Kathryn Paige Harden; Michel G Nivard; Eco J C de Geus; Dorret I Boomsma; Arpana Agrawal; Lea K Davis; Toni-Kim Clarke; Abraham A Palmer; Sandra Sanchez-Roige
Journal:  Am J Psychiatry       Date:  2021-05-14       Impact factor: 19.242

4.  Alcohol and cigarette smoking consumption as genetic proxies for alcohol misuse and nicotine dependence.

Authors:  Sandra Sanchez-Roige; Nancy J Cox; Eric O Johnson; Dana B Hancock; Lea K Davis
Journal:  Drug Alcohol Depend       Date:  2021-02-15       Impact factor: 4.852

5.  Age varying polygenic effects on alcohol use in African Americans and European Americans from adolescence to adulthood.

Authors:  Kit K Elam; Thao Ha; Zoe Neale; Fazil Aliev; Danielle Dick; Kathryn Lemery-Chalfant
Journal:  Sci Rep       Date:  2021-11-17       Impact factor: 4.379

  5 in total

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