Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Genetic Variation Determines PPARγ Function and Antidiabetic Drug Response In Vivo [ChIP-seq]


ABSTRACT: SNPs 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 PPARγ, a nuclear receptor for antidiabetic drugs. Many such SNPs alter binding motifs for PPARγ or cooperating factors, and functionally regulate nearby genes whose expression is strain-selective and imbalanced in heterozygous F1 mice. Moreover, genetically-determined binding of PPARγ 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 PPARγ binding, provide a molecular mechanism for some expression quantitative trait loci, and are risk factors for dysmetabolic traits in genome- wide association studies. One PPARγ motif-altering SNP is associated with HDL levels and other metabolic syndrome parameters. Thus, natural genetic variation in PPARγ genomic occupancy determines individual disease risk and drug response. 6 ChIP-seq experiments conducted in mice and 5 in human subjects. Deep sequencing carried out using Illumina HiSeq2000 and the Solexa Analysis Pipeline eWAT; epididymal White Adipose Tissue iWAT; inguinal White Adipose Tissue 12wLFD; mice were fed a control low fat diet (Research Diet D12450B) chow; mice were fed standard rodent chow Diet GR; Glucocorticoid receptor

ORGANISM(S): Homo sapiens

SUBMITTER: Mitchell Lazar 

PROVIDER: E-GEOD-64458 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

Similar Datasets

2015-07-02 | E-GEOD-64459 | biostudies-arrayexpress
2015-07-02 | GSE64459 | GEO
2015-07-02 | GSE64458 | GEO
2023-09-27 | GSE216608 | GEO
2023-09-27 | GSE216272 | GEO
2023-09-27 | GSE215870 | GEO
2011-02-11 | E-GEOD-21329 | biostudies-arrayexpress
2014-11-04 | GSE62937 | GEO
2019-11-01 | GSE138632 | GEO
| PRJNA268793 | ENA