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

被引:0
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作者
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
Howard J. Edenberg
Edoardo Marcora
Arpana Agrawal
Alison Goate
机构
[1] Icahn School of Medicine at Mount Sinai,Departments of Genetics and Genomic Sciences and Neuroscience
[2] Washington University School of Medicine,Department of Psychiatry
[3] Indiana University School of Medicine,Department of Medical and Molecular Genetics
[4] State University of New York,Department of Psychiatry
[5] Downstate Medical Center,Department of Psychiatry
[6] Indiana University School of Medicine,Department of Biochemistry and Molecular Biology
[7] Indiana University School of Medicine,Department of Psychiatry
[8] University of Connecticut,Department of Psychiatry
[9] University of Iowa,Department of Psychiatry
[10] Washington University in St. Louis,Department of Psychiatry
[11] University of California at San Diego,Department of Genetics
[12] Rutgers University,Department of Cell Biology and Neuroscience
[13] Rutgers University,Department of Biomedical and health Informatics
[14] University of Pennsylvania,Department of Psychology
[15] Virginia Commonwealth University,Department of Neuroscience
[16] Icahn School of Medicine at Mount Sinai,undefined
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摘要
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.
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