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Updated: Jan 21, 2026

Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets
Published on: July 7, 2010
Genome-wide scan identifies opioid overdose risk locus close to MCOLN1
Zhongshan Cheng1, Bao-Zhu Yang1, Hang Zhou1
1Division of Human Genetics, Department of Psychiatry, Yale University School of Medicine and VA CT Healthcare Center, New Haven, CT, USA.
Abstract:
The United States is experiencing the worst opioid overdose (OpOD) crisis in its history. We carried out a genome-wide association study on OpOD severity among 3 477 opioid-exposed individuals, 1 019 of whom experienced OpODs, including 2 032 European Americans (EAs) (653 overdose cases), and 1 445 African Americans (AAs) (366 overdose cases). Participants were scored 1 to 4 based on their reported overdose status and the number of times that medical treatment was required. Genome-wide association study (GWAS) of EAs and AAs separately resulted in two genome-wide significant (GWS) signals in AAs but none in EAs. The first signal was represented by three closely mapped variants (rs115208233, rs116181528, and rs114077267) located near mucolipin 1 (MCOLN1) and patatin-like phospholipase domain containing 6 (PNPLA6), and the other signal was represented by rs369098800 near dead-box helicase 18 (DDX18). There were no additional GWS signals in the trans-population meta-analysis, so that post-GWAS analysis focused on these loci. In network analysis, MCOLN1 was coexpressed with PNPLA6, but only MCOLN1-associated genes were enriched in functional categories relevant to OpOD, including calcium and cation channel activities; no enrichment was observed for PNPLA6-associated genes. Drug repositioning analysis was carried out in the connectivity map (CMap) database for MCOLN1 (PNPLA6 was not available in CMap) and showed that the opioid agonist drug-induced expression profile is similar to that of MCOLN1 overexpression and yielded the highest-ranked expression profile of 83 drug classes. Thus, MCOLN1 may be a risk gene for OpOD, but replication is needed. This knowledge could be helpful in the identification of drug targets for preventing OpOD.
Insights
Researchers identified potential genetic risk factors for opioid overdose severity. Mucolipin 1 (MCOLN1) gene variants were associated with overdose risk in African Americans, suggesting MCOLN1 as a potential target for preventing opioid overdoses.
Area of Science:
- Genetics and Genomics
- Pharmacology
- Public Health
Background:
- The United States faces a severe opioid overdose crisis.
- Genetic predispositions may influence opioid overdose (OpOD) severity.
- Understanding genetic risk is crucial for developing targeted interventions.
Purpose of the Study:
- To conduct a genome-wide association study (GWAS) to identify genetic variants associated with opioid overdose severity.
- To investigate potential genetic risk factors in European American (EA) and African American (AA) populations.
- To explore the functional role of identified genetic loci in opioid overdose.
Main Methods:
- Genome-wide association study (GWAS) on 3,477 opioid-exposed individuals (2,032 EA, 1,445 AA), including 1,019 with opioid overdoses.
- Severity scoring based on overdose status and medical treatment frequency.
- Post-GWAS analysis including network analysis (gene coexpression) and drug repositioning analysis (Connectivity Map database).
Main Results:
- Two genome-wide significant (GWS) signals were identified in African Americans near MCOLN1/PNPLA6 (rs115208233, rs116181528, rs114077267) and DDX18 (rs369098800); no GWS signals in European Americans.
- Network analysis revealed MCOLN1-associated genes enriched in calcium and cation channel activities relevant to OpOD.
- Drug repositioning analysis suggested MCOLN1 overexpression profiles align with opioid agonist drug effects, identifying potential therapeutic avenues.
Conclusions:
- Mucolipin 1 (MCOLN1) may be a risk gene for opioid overdose severity, particularly in African American populations.
- MCOLN1's role in calcium and cation channel activity warrants further investigation for its contribution to OpOD.
- Findings could guide the identification of novel drug targets for preventing opioid overdose, though replication studies are necessary.
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