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

The Collaborative Study on the Genetics of Alcoholism (COGA)

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Article number5071
JournalNature communications
Volume12
Issue number1
DOIs
StatePublished - Dec 2021

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