Project description:Transcriptome-wide association studies (TWAS) integrate genome-wide association studies (GWAS) and gene expression datasets to prioritize causal genes at GWAS loci. The NIDA center for genetic studies of drug abuse in outbred rats (P50DA037844) has collected genetic data from thousands of HS rats to perform GWAS on numerous behavioral traits that are relevant to substance use disorders. However, GWAS loci remain difficult to interpret. In this scenario, TWAS offer an orthogonal approach to prioritize causal variants. TWAS rely on a reference gene panel in which both gene expression in relevant tissues and genetic variation has been measured from the same individuals to learn per-gene predictive models of expression variation. This dataset will be used to generate transcriptomic phenotypes from brain tissues of naïve heterogeneous stock rats for use in molecular QTL mapping, TWAS reference panels, expression prediction, and other transcriptomic applications.
Project description:Using heterogeneous stock (HS) rats, we have identified a region on rat chromosome 1 that maps multiple diabetic traits. We sought to use global expression analysis to determine if genes within this region are differentially expressed between HS rats with normal glucose tolerance and those with glucose intolerance
2014-09-18 | GSE57117 | GEO
Project description:Heterogeneous stock rats that differ in glucose tolerance
Project description:Using heterogeneous stock (HS) rats, we have identified a region on rat chromosome 1 that maps multiple diabetic traits. We sought to use global expression analysis to determine if genes within this region are differentially expressed between HS rats with normal glucose tolerance and those with glucose intolerance
Project description:We investigated whether intersecting functional genomic data (ATAC-seq + promoter focused Capture C) with increasingly powered publically available GWAS for Body Mass Index and Waist to Hip Ratio could identify additional true postiive subsignficant signals (5x10-8< P value < 5x10-4) without increasing the GWAS sample size