Genome-wide association studies of the self-rating of effects of ethanol (SRE)

Dongbing Lai, Leah Wetherill, Manav Kapoor, Emma C. Johnson, Melanie Schwandt, Vijay A. Ramchandani, David Goldman, Geoff Joslyn, Xi Rao, Yunlong Liu, Sean Farris, R. Dayne Mayfield, Danielle Dick, Victor Hesselbrock, John Kramer, Vivia V. McCutcheon, John Nurnberger, Jay Tischfield, Alison Goate, Howard Edenberg & 4 others Bernice Porjesz, Arpana Agrawal, Tatiana Foroud, Marc Schuckit

Research output: Contribution to journalArticle

Abstract

The level of response (LR) to alcohol as measured with the Self-Report of the Effects of Alcohol Retrospective Questionnaire (SRE) evaluates the number of standard drinks usually required for up to four effects. The need for a higher number of drinks for effects is genetically influenced and predicts higher risks for heavy drinking and alcohol problems. We conducted genome-wide association study (GWAS) in the African-American (COGA-AA, N = 1527 from 309 families) and European-American (COGA-EA, N = 4723 from 956 families) subsamples of the Collaborative Studies on the Genetics of Alcoholism (COGA) for two SRE scores: SRE-T (average of first five times of drinking, the period of heaviest drinking, and the most recent 3 months of consumption) and SRE-5 (the first five times of drinking). We then meta-analyzed the two COGA subsamples (COGA-AA + EA). Both SRE-T and SRE-5 were modestly heritable (h2: 21%-31%) and genetically correlated with alcohol dependence (AD) and DSM-IV AD criterion count (rg: 0.35-0.76). Genome-wide significant associations were observed (SRE-T: chromosomes 6, rs140154945, COGA-EA P = 3.30E-08 and 11, rs10647170, COGA-AA+EA P = 3.53E-09; SRE-5: chromosome13, rs4770359, COGA-AA P = 2.92E-08). Chromosome 11 was replicated in an EA dataset from the National Institute on Alcohol Abuse and Alcoholism intramural program. In silico functional analyses and RNA expression analyses suggest that the chromosome 6 locus is an eQTL for KIF25. Polygenic risk scores derived using the COGA SRE-T and SRE-5 GWAS predicted 0.47% to 2.48% of variances in AD and DSM-IV AD criterion count in independent datasets. This study highlights the genetic contribution of alcohol response phenotypes to the etiology of alcohol use disorders.

Original languageEnglish (US)
Article numbere12800
JournalAddiction Biology
DOIs
StatePublished - Jan 1 2019

Fingerprint

Genome-Wide Association Study
Alcoholism
Ethanol
Alcohols
Drinking
Chromosomes, Human, Pair 6
Diagnostic and Statistical Manual of Mental Disorders
National Institute on Alcohol Abuse and Alcoholism (U.S.)
Chromosomes, Human, Pair 11
Alcohol Drinking
African Americans
Computer Simulation
Self Report

Keywords

  • genetic correlation
  • genome-wide association study (GWAS)
  • heritability
  • polygenic risk score
  • RNA expression
  • self-rating of the effects of ethanol (SRE)

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Pharmacology
  • Psychiatry and Mental health

Cite this

Lai, D., Wetherill, L., Kapoor, M., Johnson, E. C., Schwandt, M., Ramchandani, V. A., ... Schuckit, M. (2019). Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addiction Biology, [e12800]. https://doi.org/10.1111/adb.12800

Genome-wide association studies of the self-rating of effects of ethanol (SRE). / Lai, Dongbing; Wetherill, Leah; Kapoor, Manav; Johnson, Emma C.; Schwandt, Melanie; Ramchandani, Vijay A.; Goldman, David; Joslyn, Geoff; Rao, Xi; Liu, Yunlong; Farris, Sean; Mayfield, R. Dayne; Dick, Danielle; Hesselbrock, Victor; Kramer, John; McCutcheon, Vivia V.; Nurnberger, John; Tischfield, Jay; Goate, Alison; Edenberg, Howard; Porjesz, Bernice; Agrawal, Arpana; Foroud, Tatiana; Schuckit, Marc.

In: Addiction Biology, 01.01.2019.

Research output: Contribution to journalArticle

Lai, D, Wetherill, L, Kapoor, M, Johnson, EC, Schwandt, M, Ramchandani, VA, Goldman, D, Joslyn, G, Rao, X, Liu, Y, Farris, S, Mayfield, RD, Dick, D, Hesselbrock, V, Kramer, J, McCutcheon, VV, Nurnberger, J, Tischfield, J, Goate, A, Edenberg, H, Porjesz, B, Agrawal, A, Foroud, T & Schuckit, M 2019, 'Genome-wide association studies of the self-rating of effects of ethanol (SRE)', Addiction Biology. https://doi.org/10.1111/adb.12800
Lai D, Wetherill L, Kapoor M, Johnson EC, Schwandt M, Ramchandani VA et al. Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addiction Biology. 2019 Jan 1. e12800. https://doi.org/10.1111/adb.12800
Lai, Dongbing ; Wetherill, Leah ; Kapoor, Manav ; Johnson, Emma C. ; Schwandt, Melanie ; Ramchandani, Vijay A. ; Goldman, David ; Joslyn, Geoff ; Rao, Xi ; Liu, Yunlong ; Farris, Sean ; Mayfield, R. Dayne ; Dick, Danielle ; Hesselbrock, Victor ; Kramer, John ; McCutcheon, Vivia V. ; Nurnberger, John ; Tischfield, Jay ; Goate, Alison ; Edenberg, Howard ; Porjesz, Bernice ; Agrawal, Arpana ; Foroud, Tatiana ; Schuckit, Marc. / Genome-wide association studies of the self-rating of effects of ethanol (SRE). In: Addiction Biology. 2019.
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AU - Lai, Dongbing

AU - Wetherill, Leah

AU - Kapoor, Manav

AU - Johnson, Emma C.

AU - Schwandt, Melanie

AU - Ramchandani, Vijay A.

AU - Goldman, David

AU - Joslyn, Geoff

AU - Rao, Xi

AU - Liu, Yunlong

AU - Farris, Sean

AU - Mayfield, R. Dayne

AU - Dick, Danielle

AU - Hesselbrock, Victor

AU - Kramer, John

AU - McCutcheon, Vivia V.

AU - Nurnberger, John

AU - Tischfield, Jay

AU - Goate, Alison

AU - Edenberg, Howard

AU - Porjesz, Bernice

AU - Agrawal, Arpana

AU - Foroud, Tatiana

AU - Schuckit, Marc

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N2 - The level of response (LR) to alcohol as measured with the Self-Report of the Effects of Alcohol Retrospective Questionnaire (SRE) evaluates the number of standard drinks usually required for up to four effects. The need for a higher number of drinks for effects is genetically influenced and predicts higher risks for heavy drinking and alcohol problems. We conducted genome-wide association study (GWAS) in the African-American (COGA-AA, N = 1527 from 309 families) and European-American (COGA-EA, N = 4723 from 956 families) subsamples of the Collaborative Studies on the Genetics of Alcoholism (COGA) for two SRE scores: SRE-T (average of first five times of drinking, the period of heaviest drinking, and the most recent 3 months of consumption) and SRE-5 (the first five times of drinking). We then meta-analyzed the two COGA subsamples (COGA-AA + EA). Both SRE-T and SRE-5 were modestly heritable (h2: 21%-31%) and genetically correlated with alcohol dependence (AD) and DSM-IV AD criterion count (rg: 0.35-0.76). Genome-wide significant associations were observed (SRE-T: chromosomes 6, rs140154945, COGA-EA P = 3.30E-08 and 11, rs10647170, COGA-AA+EA P = 3.53E-09; SRE-5: chromosome13, rs4770359, COGA-AA P = 2.92E-08). Chromosome 11 was replicated in an EA dataset from the National Institute on Alcohol Abuse and Alcoholism intramural program. In silico functional analyses and RNA expression analyses suggest that the chromosome 6 locus is an eQTL for KIF25. Polygenic risk scores derived using the COGA SRE-T and SRE-5 GWAS predicted 0.47% to 2.48% of variances in AD and DSM-IV AD criterion count in independent datasets. This study highlights the genetic contribution of alcohol response phenotypes to the etiology of alcohol use disorders.

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