Biology subjects

Benca-Bachman, C. E.

Publications and source records attributed to Benca-Bachman, C. E..

2 recordsLinked to original sources

bioRxiv2021

Genome- and Transcriptome-wide Splicing Associations with Problematic Alcohol Use and Alcohol Use Disorder

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 used RNA-sequencing data on alcohol use disorder (AUD) in the brains reward circuitry (n=56; ages 40-73; 100% Caucasian; four brain regions) and genome-wide association data on problematic alcohol use (n=435,563, ages 22-90; 100% European-American) to investigate potential genetic links with alcohol-related alternative mRNA splicing. Polygenic scores of problematic alcohol use predicted alternative mRNA brain splicing associated with AUD, which depended on brain region. Across brain regions, we found 714 differentially spliced genes in various putative addiction genes and other novel gene targets. We found 6,463 splicing quantitative trait loci (sQTLs) that were associated with the AUD differentially spliced genes. sQTLs were enriched in loose chromatin genomic regions and downstream gene targets. Additionally, the heritability of problematic alcohol use was significantly enriched for DNA variants in and around differentially spliced genes associated with AUD. Our study also performed splicing transcriptome-wide association studies (TWASs) of problematic alcohol use and other drug use traits that unveiled individual genes for follow-up and robust splicing correlations across SUDs. Finally, we show that differentially spliced genes associated showed significant overlap in primate models of chronic alcohol consumption at the gene-level in similar brain regions. Altogether, our study illuminates substantial genetic contributions of alternative mRNA splicing in relation to problematic alcohol use and AUD.

genomics↗

bioRxiv2019

Cross-Species Integration of Transcriptomic Effects of Tobacco and Nicotine Exposure Helps to Prioritize Genetic Effects on Human Tobacco Consumption

Computational advances have fostered the development of new methods and tools to integrate gene expression and functional evidence into human-genetic association analyses. Integrative functional genomics analysis for altered response to alcohol in mice provided the first evidence that multi-species analysis tools, such as GeneWeaver, can identify or confirm novel alcohol-related loci. The present study describes an integrative framework to investigate how highly-connected genes linked by their association to tobacco-related behaviors, contribute to individual differences in tobacco consumption. Data from individuals of European ancestry in the UKBiobank (N=139,043) were used to examine the relative contribution of orthologs of a set of genes that are transcriptionally co-regulated by tobacco or nicotine exposure in model organism experiments to human tobacco consumption. Multi-component mixed linear models using genotyped and imputed single nucleotide variants indicated that: (1) variation within human orthologs of these genes accounted for 2-5% of the observed heritability (meta h2SNP-Total=0.08 [95% CI: 0.07, 0.09]) of tobacco/nicotine consumption across three independent folds of unrelated individuals (enrichment ranging from 0.85 - 2.98), and (2) variation around (5, 10, 15, 25, and 50 Kb regions) the set of co-transcriptionally regulated genes accounted for 5-36% of the observed SNP-heritability (enrichment ranging from 1.60 - 31.45). Notably, the effects of variants in co-transcriptionally regulated genes were enriched in tobacco GWAS. These findings highlight the advantages of using multiple species evidence to isolate genetic factors to better understand the etiological complexity of tobacco and other nicotine consumption.

genetics↗