Genetic Variation Determines PPAR Function and Antidiabetic Drug Response In Vivo [RNA-seq]
Transcriptomics Dataset
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General Information
AccessionGSE64459
TitleGenetic Variation Determines PPAR Function and Antidiabetic Drug Response In Vivo [RNA-seq]
DescriptionSNPs affecting disease risk often reside in non-coding genomic regions. Here we show that SNPs are highly enriched at mouse strain-selective adipose tissue binding sites for PPAR, a nuclear receptor for antidiabetic drugs. Many such SNPs alter binding motifs for PPAR or cooperating factors, and functionally regulate nearby genes whose expression is strain-selective and imbalanced in heterozygous F1 mice. Moreover, genetically-determined binding of PPAR accounts for mouse strain-specific transcriptional effects of TZD drugs, providing proof-of- concept for personalized medicine related to nuclear receptor genomic occupancy. In human fat, motif-altering SNPs cause differential PPAR binding, provide a molecular mechanism for some expression quantitative trait loci, and are risk factors for dysmetabolic traits in genome- wide association studies. One PPAR motif-altering SNP is associated with HDL levels and other metabolic syndrome parameters. Thus, natural genetic variation in PPAR genomic occupancy determines individual disease risk and drug response.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64459
RepositoryGene Expression Omnibus
Tools used to analyze the dataset

Dataset Accession

ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset

Dataset Accession
Tool Name

Interactive heatmap visualization of RNA-seq dataset GSE64459
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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