Genome- and transcriptome-wide splicing associations with alcohol use disorder.
- Authors
- Huggett, Spencer B; Ikeda, Ami S; Yuan, Qingyue; Benca-Bachman, Chelsie E; Palmer, Rohan H C
- Year
- 2023
- Journal
- Scientific reports
- PMID
- 36894673
- DOI
- 10.1038/s41598-023-30926-z
- PMCID
- PMC9998611
Genetic mechanisms of alternative mRNA splicing have been shown in the brain for a variety of neuropsychiatric traits, but not substance use disorders. Our study utilized RNA-sequencing data on alcohol use disorder (AUD) in four brain regions (n = 56; ages 40-73; 100% 'Caucasian'; PFC, NAc, BLA and CEA) and genome-wide association data on AUD (n = 435,563, ages 22-90; 100% European-American). Polygenic scores of AUD were associated with AUD-related alternative mRNA splicing in the brain. We identified 714 differentially spliced genes between AUD vs controls, which included both putative addiction genes and novel gene targets. We found 6463 splicing quantitative trait loci (sQTLs) that linked to the AUD differentially spliced genes. sQTLs were enriched in loose chromatin genomic regions and downstream gene targets. Additionally, the heritability of AUD was enriched for DNA variants in and around differentially spliced genes associated with AUD. Our study also performed splicing transcriptome-wide association studies (TWASs) of AUD and other drug use traits that unveiled specific genes for follow-up and splicing correlations across SUDs. Finally, we showed that differentially spliced genes between AUD vs control were also associated with primate models of chronic alcohol consumption in similar brain regions. Our study found substantial genetic contributions of alternative mRNA splicing in AUD.
Genetic risk for AUD and alternative mRNA Splicing. (A) Violin plot showing polygenic score distributions of AUD between individuals with AUD and controls. Mean and standard error are shown. P-value thresholds were 0.0183, 0.1016, 0.3522 and 0.0187 for the BLA, CEA, NAc and PFC, respectively. Scores were combined across brain regions and tested between AUD cases and controls. (B) Heat matrix showing the amount of variance explained (R2) by polygenic score analyses of differential splicing results for each brain region. Principal components (PC) analysis was used to distil differential splicing results into a single metric (1st PC). Polygenic score p-value thresholds were 5.e−5, 0.006, 5e−5 and 0.0012 for the BLA, CEA, NAc and PFC, respectively.
Alternative mRNA splicing associations with AUD by brain region. (A) Volcano plot displaying differentially spliced genes between individuals with AUD and controls for each brain region. (B) Scatter plot showing differential splicing associations across brain regions from differentially spliced genes. Note ΔPSI stands for the change in percent-spliced-in and that each colored dot represents a specific splicing event in a cluster from a significantly differentially spliced gene (padj < 0.05).
Individual DNA markers linked with alternative mRNA splicing events associated with AUD. (A) Volcano plot showing results from our sQTL analyses. Each dot above the dashed red line represents a significant (padj < 0.05) SNP association with a differentially spliced gene. (B) Bar plot showing the genomic regions enriched for significant sQTL associations. * indicated that a certain genomic region survived correction for multiple testing (padj < 0.05).
SNPs within and around differentially spliced genes contribute to the heritability of AUD. Heritable factors include the observed heritability from LD score regression analyses. Splicing genes include all biallelic SNPs within and 1 Mb around the transcription start and end site of differentially spliced genes associated with AUD in the brain.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| RNA alternative splicing impacts the risk for alcohol use disorder. | 2023 | 37217680 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Ethanol induces neuroimmune dysregulation and soluble TREM2 generation in a human iPSC neuron, astrocyte, microglia triculture model. | Boreland AJ et al. | — | 2026 | → |
| Alternative splicing in addiction. | Bhatnagar A et al. | — | 2025 | → |
| Comparative mRNA profile analysis from NAc of adolescent male mice after binge-like alcohol exposure eliciting deficits in context fear extinction learning. | Lloret Torres ME et al. | — | 2025 | → |
| Global Changes in Gene Expression and Splicing in Alcoholic Liver Disease | Blokhin IO et al. | — | 2025 | — |
| It is not just about transcription: involvement of brain RNA splicing in substance use disorders. | Carvalho L et al. | — | 2024 | → |
| Multi-omics profiling of DNA methylation and gene expression alterations in human cocaine use disorder. | Zillich E et al. | — | 2024 | → |
| Population-level exploration of alternative splicing and its unique role in controlling agronomic traits of rice. | Zhang H et al. | — | 2024 | → |
| The genetical genomic path to understanding why rats and humans consume too much alcohol. | Tabakoff B et al. | — | 2024 | → |
| RNA alternative splicing impacts the risk for alcohol use disorder. | Li R et al. | — | 2023 | → |
| Integrating human brain proteomic data with genome-wide association study findings identifies novel brain proteins in substance use traits. | Toikumo S et al. | — | 2022 | → |
| Opioid Use Disorder and Alternative mRNA Splicing in Reward Circuitry. | Huggett SB et al. | — | 2022 | → |