GeneSet Information

Tier III GS407966 • Epigenetic alterations identify a confluence of genetic vulnerabilities tied to opioid overdose in humans

DESCRIPTION:

Authors interrogated the effects of opioid overdose on the brain using ChIP-seq to quantify patterns of H3K27 acetylation in dorsolateral prefrontal cortical neurons isolated from 51 opioid-overdose cases and 51 accidental death controls.Authors use the term plexus to refer to the collection of regulatory elements that physically contact the gene promoter. Plexi are derived from DLPFC promoter-capture Hi-C. Here, they used convergence analysis to identify genetic loci and target genes that have an overabundance of opioid case Variant Enhancer Loci, VELs. The strategy identifies single elements in a gene plexus altered across multiple cases, multiple elements altered within a single case, multiple elements altered across multiple cases, and intermediate patterns. This approach takes into account the differing number of elements contained in each gene’s plexus and their activity to identify genes with the most significant accumulation of VELs. Results displaed include GeneName and -log10pvalue.

LABEL:

Opioid_human_epigenetic_-log10pval

SCORE TYPE:

P-Value

DATE ADDED:

2024-01-08

DATE UPDATED:

2024-04-25

SPECIES:

AUTHORS:

Olivia Corradin, Richard Sallari, An T Hoang, Bibi S Kassim, Gabriella Ben Hutta, Lizette Cuoto, Bryan C Quach, Katreya Lovrenert, Cameron Hays, Berkley E Gryder, Marina Iskhakova, Hannah Cates, Yanwei Song, Cynthia F Bartels, Dana B Hancock, Deborah C Mash, Eric O Johnson, Schahram Akbarian, Peter C Scacheri

TITLE:

Convergence of case-specific epigenetic alterations identify a confluence of genetic vulnerabilities tied to opioid overdose.

JOURNAL:

Molecular psychiatry Apr 2022, Vol 27, pp. 2158-2170

ABSTRACT:

Opioid use disorder is a highly heterogeneous disease driven by a variety of genetic and environmental risk factors which have yet to be fully elucidated. Opioid overdose, the most severe outcome of opioid use disorder, remains the leading cause of accidental death in the United States. We interrogated the effects of opioid overdose on the brain using ChIP-seq to quantify patterns of H3K27 acetylation in dorsolateral prefrontal cortical neurons isolated from 51 opioid-overdose cases and 51 accidental death controls. Among opioid cases, we observed global hypoacetylation and identified 388 putative enhancers consistently depleted for H3K27ac. Machine learning on H3K27ac patterns predicted case-control status with high accuracy. We focused on case-specific regulatory alterations, revealing 81,399 hypoacetylation events, uncovering vast inter-patient heterogeneity. We developed a strategy to decode this heterogeneity based on convergence analysis, which leveraged promoter-capture Hi-C to identify five genes over-burdened by alterations in their regulatory network or "plexus": ASTN2, KCNMA1, DUSP4, GABBR2, ENOX1. These convergent loci are enriched for opioid use disorder risk genes and heritability for generalized anxiety, number of sexual partners, and years of education. Overall, our multi-pronged approach uncovers neurobiological aspects of opioid use disorder and captures genetic and environmental factors perpetuating the opioid epidemic. PUBMED: 35301427
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