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Background <p>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.</p> Results <p>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 <i>RBM14</i> and <i>KANSL1</i> to risk for alcohol use disorder.</p> Conclusions <p>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.<!-- Query ID="Q1" Text="Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 1 Given name: [specify authors given name] Last name [specify authors last name]. Also, kindly confirm the details in the metadata are correct." --></p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月29日

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

摘要

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.