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Data Set Group: UCLA BXD Liver Affy M430 2.0 (Jan16) RMA modify this page

Data Set: UCLA CXB Liver Affy M430 2.0 (Jan16) RMA modify this page
GN Accession: GN823
GEO Series: GSE66568
Title: Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains.
Organism: Mouse (mm10)
Group: CXB
Tissue: Liver mRNA
Dataset Status: Public
Platforms: Affy Mouse Genome 430 2.0 (GPL1261)
Normalization: RMA
Contact Information
Aldons Lusis
University of California, Los Angeles
UCLA Med-Cardio/Microbio BOX 951679
Los Angeles, CA 90095 USA
Tel. 310 825-1359
jlusis@mednet.ucla.edu
Website
Download datasets and supplementary data files

Specifics of this Data Set:
Group CXB

Summary:

Identify genes in the liver whose expression is under genetic regulation in the Hybrid Mouse Diversity Panel (HMDP). The HMDP comprises classical inbred and recombinant inbred wild type mice. 104 of these strains were bred onto a C57BL/6J background carrying transgenes for both ApoE-Leiden and cholesteryl ester transfer protein (CETP). The RMA values of genes were used for genome wide association as described in Davis et al PLOS Genetics 2015. These data are used to identify candidate genes at loci associated with atherosclerotic lesion size.



About the cases used to generate this set of data:


About the tissue used to generate this set of data:


About the array platform:

GPL11180 HT_MG-430_PM] Affymetrix HT MG-430 PM Array Plate



About data values and data processing:


Notes:


Experiment Type:

GWAS for expression in livers of F1 offspring of inbred strains crossed with C57BL/6J carrying ApoE-Leiden and CETP transgenes fed chow diet for 8 weeks followed by Western diet for 16 weeks



Contributor:

Lusis AJBennett BDavis R



Citation:
  • Bennett BJ, Davis RC, Civelek M, Orozco L et al. Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains. PLoS Genet 2015 Dec 22;11(12):e1005711. PMID: 26694027


Data source acknowledgment:


Study Id:
260

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GeneNetwork support from:
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  • NIGMS Systems Genetics and Precision Medicine project (R01 GM123489, 2017-2021)
  • NIDA NIDA Core Center of Excellence in Transcriptomics, Systems Genetics, and the Addictome (P30 DA044223, 2017-2022)
  • NIA Translational Systems Genetics of Mitochondria, Metabolism, and Aging (R01AG043930, 2013-2018)
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