Regulatory mechanisms driven by functional 3’-UTR variants in alcohol use disorder and related traits

BACKGROUND: Genetic variants in the 3' untranslated regions (3'-UTRs) of mRNAs can alter binding of RNA-binding proteins and microRNAs and thereby influence regulation by affecting RNA stability, localization, and translation. Despite their potential impact on the risk for complex traits, including alcohol use disorder, the contribution of 3'-UTR variants has not been systematically explored. We evaluate the impact of 3'-UTR variants within loci associated with substance use and neurological disorders using a massively parallel reporter assay (MPRA) in neuroblastoma and microglia cells. RESULTS: Of the 13,515 variants tested, 400 and 657 variants significantly alter gene expression in neuroblastoma and microglia cells, respectively. These functionally impactful variants account for more heritability of alcohol-related traits than non-functional variants. We develop a computational framework, MPRA-mediated Gene Expression Association (MGExA), that combines MPRA-derived variant effects with GWAS summary statistics and identify 31 genes whose expression changes may contribute to alcohol-related traits. CRISPR inhibition of 7 of these genes in neuronal cells leads to gene expression changes associated with neurodegenerative disorders and the oxidative phosphorylation pathway. Pharmacoepidemiological analysis of drugs that had similar effects on gene expression linked RBM14 and KANSL1 to risk for alcohol use disorder. CONCLUSIONS: We identify genetic variants in 3'-UTR regions that affect gene expression. By integrating these functional genomics data and pharmacoepidemiological assessment with GWAS analysis, we identify genes whose expression differences could contribute to alcohol related traits. This approach provides a framework for moving from GWAS data to identifying biologically and clinically relevant genes associated with complex disorders.

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Publication Details

Journal
Genome biology
Published
2026-06-29
DOI
https://doi.org/10.1186/s13059-026-04176-x
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.00

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article

Regulatory mechanisms driven by functional 3’-UTR variants in alcohol use disorder and related traits

Xiaoling Xuei, Jay A. Tischfield, Howard J. Edenberg, Hongyu Gao et al.
Genome biology
RNA Research and Splicing
article

Regulatory mechanisms driven by functional 3’-UTR variants in alcohol use disorder and related traits

Xiaoling Xuei, Jay A. Tischfield, Howard J. Edenberg, Hongyu Gao, Pengyue Zhang, Dongbing Lai, Gary E. Landreth, Jill L. Reiter, J. Rupp, Yunlong Liu, Andy Chen, Xiaona Chu, Tatiana M. Foroud, Andy P. Tsai, Xuhong Yu, Yue Wang, Kriti S. Thapa
article en

Abstract

BACKGROUND: Genetic variants in the 3' untranslated regions (3'-UTRs) of mRNAs can alter binding of RNA-binding proteins and microRNAs and thereby influence regulation by affecting RNA stability, localization, and translation. Despite their potential impact on the risk for complex traits, including alcohol use disorder, the contribution of 3'-UTR variants has not been systematically explored. We evaluate the impact of 3'-UTR variants within loci associated with substance use and neurological disorders using a massively parallel reporter assay (MPRA) in neuroblastoma and microglia cells. RESULTS: Of the 13,515 variants tested, 400 and 657 variants significantly alter gene expression in neuroblastoma and microglia cells, respectively. These functionally impactful variants account for more heritability of alcohol-related traits than non-functional variants. We develop a computational framework, MPRA-mediated Gene Expression Association (MGExA), that combines MPRA-derived variant effects with GWAS summary statistics and identify 31 genes whose expression changes may contribute to alcohol-related traits. CRISPR inhibition of 7 of these genes in neuronal cells leads to gene expression changes associated with neurodegenerative disorders and the oxidative phosphorylation pathway. Pharmacoepidemiological analysis of drugs that had similar effects on gene expression linked RBM14 and KANSL1 to risk for alcohol use disorder. CONCLUSIONS: We identify genetic variants in 3'-UTR regions that affect gene expression. By integrating these functional genomics data and pharmacoepidemiological assessment with GWAS analysis, we identify genes whose expression differences could contribute to alcohol related traits. This approach provides a framework for moving from GWAS data to identifying biologically and clinically relevant genes associated with complex disorders.

Genome biology
Rutgers, The State University of New Jersey (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
National Institute on Alcohol Abuse and Alcoholism, National Institute on Drug Abuse, National Center for Advancing Translational Sciences
Good health and well-being
Openalex Percentile: Top 11%
RNA Research and Splicing
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