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Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry.

Publication ,  Journal Article
Sanchez-Roige, S; Fontanillas, P; Elson, SL; 23andMe Research Team; Gray, JC; de Wit, H; Davis, LK; MacKillop, J; Palmer, AA
Published in: Addict Biol
January 2019

Genetic factors contribute to the risk for developing alcohol use disorder (AUD). In collaboration with the genetics company 23andMe, Inc., we performed a genome-wide association study of the alcohol use disorder identification test (AUDIT), an instrument designed to screen for alcohol misuse over the past year. Our final sample consisted of 20 328 research participants of European ancestry (55.3% females; mean age = 53.8, SD = 16.1) who reported ever using alcohol. Our results showed that the 'chip-heritability' of AUDIT score, when treated as a continuous phenotype, was 12%. No loci reached genome-wide significance. The gene ADH1C, which has been previously implicated in AUD, was among our most significant associations (4.4 × 10-7 ; rs141973904). We also detected a suggestive association on chromosome 1 (2.1 × 10-7 ; rs182344113) near the gene KCNJ9, which has been implicated in mouse models of high ethanol drinking. Using linkage disequilibrium score regression, we identified positive genetic correlations between AUDIT score, high alcohol consumption and cigarette smoking. We also observed an unexpected positive genetic correlation between AUDIT and educational attainment and additional unexpected negative correlations with body mass index/obesity and attention-deficit/hyperactivity disorder. We conclude that conducting a genetic study using responses to an online questionnaire in a population not ascertained for AUD may represent a cost-effective strategy for elucidating aspects of the etiology of AUD.

Duke Scholars

Published In

Addict Biol

DOI

EISSN

1369-1600

Publication Date

January 2019

Volume

24

Issue

1

Start / End Page

121 / 131

Location

United States

Related Subject Headings

  • White People
  • Surveys and Questionnaires
  • Substance Abuse
  • Polymorphism, Single Nucleotide
  • Phenotype
  • Obesity
  • Middle Aged
  • Mass Screening
  • Male
  • Linkage Disequilibrium
 

Citation

APA
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ICMJE
MLA
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Sanchez-Roige, S., Fontanillas, P., Elson, S. L., 23andMe Research Team, Gray, J. C., de Wit, H., … Palmer, A. A. (2019). Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. Addict Biol, 24(1), 121–131. https://doi.org/10.1111/adb.12574
Sanchez-Roige, Sandra, Pierre Fontanillas, Sarah L. Elson, 23andMe Research Team, Joshua C. Gray, Harriet de Wit, Lea K. Davis, James MacKillop, and Abraham A. Palmer. “Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry.Addict Biol 24, no. 1 (January 2019): 121–31. https://doi.org/10.1111/adb.12574.
Sanchez-Roige S, Fontanillas P, Elson SL, 23andMe Research Team, Gray JC, de Wit H, et al. Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. Addict Biol. 2019 Jan;24(1):121–31.
Sanchez-Roige, Sandra, et al. “Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry.Addict Biol, vol. 24, no. 1, Jan. 2019, pp. 121–31. Pubmed, doi:10.1111/adb.12574.
Sanchez-Roige S, Fontanillas P, Elson SL, 23andMe Research Team, Gray JC, de Wit H, Davis LK, MacKillop J, Palmer AA. Genome-wide association study of alcohol use disorder identification test (AUDIT) scores in 20 328 research participants of European ancestry. Addict Biol. 2019 Jan;24(1):121–131.
Journal cover image

Published In

Addict Biol

DOI

EISSN

1369-1600

Publication Date

January 2019

Volume

24

Issue

1

Start / End Page

121 / 131

Location

United States

Related Subject Headings

  • White People
  • Surveys and Questionnaires
  • Substance Abuse
  • Polymorphism, Single Nucleotide
  • Phenotype
  • Obesity
  • Middle Aged
  • Mass Screening
  • Male
  • Linkage Disequilibrium