Genome-wide meta-analyses of cross substance use disorders in European, African, and Latino ancestry populations.
Dongbing LaiMichael ZhangNick GreenMarco AbreuTae-Hwi Schwantes-AnClarissa ParkerShanshan ZhangFulai JinAnna SunPengyue ZhangHoward J EdenbergYunlong LiuTatiana M ForoudPublished in: Research square (2024)
Genetic risks for substance use disorders (SUDs) are due to both SUD-specific and SUD-shared genes. We performed the largest multivariate analyses to date to search for SUD-shared genes using samples of European (EA), African (AA), and Latino (LA) ancestries. By focusing on variants having cross-SUD and cross-ancestry concordant effects, we identified 45 loci. Through gene-based analyses, gene mapping, and gene prioritization, we identified 250 SUD-shared genes. These genes are highly expressed in amygdala, cortex, hippocampus, hypothalamus, and thalamus, primarily in neuronal cells. Cross-SUD concordant variants explained ~ 50% of the heritability of each SUD in EA. The top 5% individuals having the highest polygenic scores were approximately twice as likely to have SUDs as others in EA and LA. Polygenic scores had higher predictability in females than in males in EA. Using real-world data, we identified five drugs targeting identified SUD-shared genes that may be repurposed to treat SUDs.
Keyphrases
- genome wide
- copy number
- dna methylation
- genome wide identification
- systematic review
- genome wide analysis
- functional connectivity
- induced apoptosis
- high resolution
- gene expression
- oxidative stress
- bioinformatics analysis
- transcription factor
- randomized controlled trial
- electronic health record
- machine learning
- african american
- big data
- drug delivery
- deep learning
- data analysis
- genetic diversity
- stress induced
- subarachnoid hemorrhage
- endoplasmic reticulum stress