Identification of novel genetic loci and candidate genes for progressive ethanol consumption in diversity outbred mice.
Kristin M MignognaZachary TatomLorna MacleodZachary SergiAngel NguyenMarie MichenkovaMaren L SmithMichael F MilesPublished in: Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology (2024)
Mouse behavioral genetic mapping studies can identify genomic intervals modulating complex traits under well-controlled environmental conditions and have been used to study ethanol behaviors to aid in understanding genetic risk and the neurobiology of alcohol use disorder (AUD). However, historically such studies have produced large confidence intervals, thus complicating identification of potential causal candidate genes. Diversity Outbred (DO) mice offer the ability to perform high-resolution quantitative trait loci (QTL) mapping on a very genetically diverse background, thus facilitating identification of candidate genes. Here, we studied a population of 636 male DO mice with four weeks of intermittent ethanol access via a three-bottle choice procedure, producing a progressive ethanol consumption phenotype. QTL analysis identified 3 significant (Chrs 3, 4, and 12) and 13 suggestive loci for ethanol-drinking behaviors with narrow confidence intervals (1-4 Mbp for significant QTLs). Results suggested that genetic influences on initial versus progressive ethanol consumption were localized to different genomic intervals. A defined set of positional candidate genes were prioritized using haplotype analysis, identified coding polymorphisms, prefrontal cortex transcriptomics data, human GWAS data and prior rodent gene set data for ethanol or other misused substances. These candidates included Car8, the lone gene with a significant cis-eQTL within a Chr 4 QTL for week four ethanol consumption. These results represent the highest-resolution genetic mapping of ethanol consumption behaviors in mice to date, providing identification of novel loci and candidate genes for study in relation to the neurobiology of AUD.
Keyphrases
- genome wide
- copy number
- high resolution
- dna methylation
- high density
- multiple sclerosis
- alcohol use disorder
- high fat diet induced
- electronic health record
- big data
- randomized controlled trial
- clinical trial
- bioinformatics analysis
- climate change
- genome wide association study
- drinking water
- insulin resistance
- mass spectrometry
- metabolic syndrome
- transcription factor
- high intensity
- skeletal muscle
- genome wide identification