Author
Listed:
- Manav Kapoor
(Icahn School of Medicine at Mount Sinai)
- Michael J. Chao
(Icahn School of Medicine at Mount Sinai)
- Emma C. Johnson
(Washington University School of Medicine)
- Gloriia Novikova
(Icahn School of Medicine at Mount Sinai)
- Dongbing Lai
(Indiana University School of Medicine)
- Jacquelyn L. Meyers
(State University of New York, Downstate Medical Center)
- Jessica Schulman
(Icahn School of Medicine at Mount Sinai)
- John I. Nurnberger
(Indiana University School of Medicine)
- Bernice Porjesz
(State University of New York, Downstate Medical Center)
- Yunlong Liu
(Indiana University School of Medicine)
- Tatiana Foroud
(Indiana University School of Medicine
Indiana University School of Medicine)
- Howard J. Edenberg
(Indiana University School of Medicine
Indiana University School of Medicine)
- Edoardo Marcora
(Icahn School of Medicine at Mount Sinai)
- Arpana Agrawal
(Washington University School of Medicine)
- Alison Goate
(Icahn School of Medicine at Mount Sinai)
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.
Suggested Citation
Manav Kapoor & Michael J. Chao & Emma C. Johnson & Gloriia Novikova & Dongbing Lai & Jacquelyn L. Meyers & Jessica Schulman & John I. Nurnberger & Bernice Porjesz & Yunlong Liu & Tatiana Foroud & Howa, 2021.
"Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases,"
Nature Communications, Nature, vol. 12(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25392-y
DOI: 10.1038/s41467-021-25392-y
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