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GWAS Study

Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases.

Kapoor M, Chao MJ, Johnson EC et al.

34417470 PubMed ID
GWAS Study Type
235610 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KM
Kapoor M
CM
Chao MJ
JE
Johnson EC
NG
Novikova G
LD
Lai D
MJ
Meyers JL
SJ
Schulman J
NJ
Nurnberger JI
PB
Porjesz B
LY
Liu Y
FT
Foroud T
EH
Edenberg HJ
ME
Marcora E
AA
Agrawal A
GA
Goate A
Chapter II

Abstract

Summary of the research findings

Identification of causal variants and genes underlying genome-wide association study (GWAS) loci is essential to understand the biology of alcohol use disorder (AUD) and drinks per week (DPW). Multi-omics integration approaches have shown potential for fine mapping complex loci to obtain biological insights to disease mechanisms. In this study, we use multi-omics approaches, to fine-map AUD and DPW associations at single SNP resolution to demonstrate that rs56030824 on chromosome 11 significantly reduces SPI1 mRNA expression in myeloid cells and lowers risk for AUD and DPW. Our analysis also identifies MAPT as a candidate causal gene specifically associated with DPW. Genes prioritized in this study show overlap with causal genes associated with neurodegenerative disorders. Multi-omics integration analyses highlight, genetic similarities and differences between alcohol intake and disordered drinking, suggesting molecular heterogeneity that might inform future targeted functional and cross-species studies.

48,545 European ancestry cases, 187,065 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

235610
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

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