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GWAS Study

Genome-wide association studies of alcohol dependence, DSM-IV criterion count, and individual criteria.

Lai D, Wetherill L, Bertelsen S et al.

31090166 PubMed ID
GWAS Study Type
13650 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LD
Lai D
WL
Wetherill L
BS
Bertelsen S
CC
Carey CE
KC
Kamarajan C
KM
Kapoor M
MJ
Meyers JL
AA
Anokhin AP
BD
Bennett DA
BK
Bucholz KK
CK
Chang KK
DJ
De Jager PL
DD
Dick DM
HV
Hesselbrock V
KJ
Kramer J
KS
Kuperman S
NJ
Nurnberger JI
RT
Raj T
SM
Schuckit M
SD
Scott DM
TR
Taylor RE
TJ
Tischfield J
HA
Hariri AR
EH
Edenberg HJ
AA
Agrawal A
BR
Bogdan R
PB
Porjesz B
GA
Goate AM
FT
Foroud T
Chapter II

Abstract

Summary of the research findings

Genome-wide association studies (GWAS) of alcohol dependence (AD) have reliably identified variation within alcohol metabolizing genes (eg, ADH1B) but have inconsistently located other signals, which may be partially attributable to symptom heterogeneity underlying the disorder. We conducted GWAS of DSM-IV AD (primary analysis), DSM-IV AD criterion count (secondary analysis), and individual dependence criteria (tertiary analysis) among 7418 (1121 families) European American (EA) individuals from the Collaborative Study on the Genetics of Alcoholism (COGA). Trans-ancestral meta-analyses combined these results with data from 3175 (585 families) African-American (AA) individuals from COGA. In the EA GWAS, three loci were genome-wide significant: rs1229984 in ADH1B for AD criterion count (P = 4.16E-11) and Desire to cut drinking (P = 1.21E-11); rs188227250 (chromosome 8, Drinking more than intended, P = 6.72E-09); rs1912461 (chromosome 15, Time spent drinking, P = 1.77E-08). In the trans-ancestral meta-analysis, rs1229984 was associated with multiple phenotypes and two additional loci were genome-wide significant: rs61826952 (chromosome 1, DSM-IV AD, P = 8.42E-11); rs7597960 (chromosome 2, Time spent drinking, P = 1.22E-08). Associations with rs1229984 and rs18822750 were replicated in independent datasets. Polygenic risk scores derived from the EA GWAS of AD predicted AD in two EA datasets (P < .01; 0.61%-1.82% of variance). Identified novel variants (ie, rs1912461, rs61826952) were associated with differential central evoked theta power (loss - gain; P = .0037) and reward-related ventral striatum reactivity (P = .008), respectively. This study suggests that studying individual criteria may unveil new insights into the genetic etiology of AD liability.

2,411 European ancestry cases, 880 African American cases, 2,438 European ancestry controls, 951 African American controls

Chapter III

Study Statistics

Key metrics and study information

13650
Total Participants
GWAS
Study Type
Yes
Replicated
2,280 European ancestry cases, 1,911 African American cases, 1,964 European ancestry controls, 815 African American controls
Replication Participants
European, African American or Afro-Caribbean
Ancestry
U.S.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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