University of Wollongong
Browse

Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond

journal contribution
posted on 2024-11-17, 15:30 authored by Nathan Gaddis, Ravi Mathur, Jesse Marks, Linran Zhou, Bryan Quach, Alex Waldrop, Orna Levran, Arpana Agrawal, Matthew Randesi, Miriam Adelson, Paul W Jeffries, Nicholas G Martin, Louisa Degenhardt, Grant W Montgomery, Leah Wetherill, Dongbing Lai, Kathleen Bucholz, Tatiana Foroud, Bernice Porjesz, Valgerdur Runarsdottir, Thorarinn Tyrfingsson, Gudmundur Einarsson, Daniel F Gudbjartsson, Bradley Todd Webb, Richard C Crist, Henry R Kranzler, Richard Sherva, Hang Zhou, Gary Hulse
Opioid addiction (OA) is moderately heritable, yet only rs1799971, the A118G variant in OPRM1, has been identified as a genome-wide significant association with OA and independently replicated. We applied genomic structural equation modeling to conduct a GWAS of the new Genetics of Opioid Addiction Consortium (GENOA) data together with published studies (Psychiatric Genomics Consortium, Million Veteran Program, and Partners Health), comprising 23,367 cases and effective sample size of 88,114 individuals of European ancestry. Genetic correlations among the various OA phenotypes were uniformly high (rg > 0.9). We observed the strongest evidence to date for OPRM1: lead SNP rs9478500 (p = 2.56 × 10–9). Gene-based analyses identified novel genome-wide significant associations with PPP6C and FURIN. Variants within these loci appear to be pleiotropic for addiction and related traits.

Funding

National Institutes of Health (UL1RR024143)

History

Journal title

Scientific Reports

Volume

12

Issue

1

Language

English

Usage metrics

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC