Systems genetics relies on common genetic variants to elucidate biologic networks contributing to complex disease-related phenotypes. Mice are ideal model organisms for such approaches, but linkage analysis has been only modestly successful due to low mapping resolution. Association analysis in mice has the potential of much better resolution, but it is confounded by population structure and inadequate power to map traits that explain less than 10% of the variance, typical of mouse quantitative trait loci (QTL). We report a novel strategy for association mapping that combines classic inbred strains for mapping resolution and recombinant inbred strains for mapping power. Using a mixed model algorithm to correct for population structure, we validate the approach by mapping over 2500 cis-expression QTL with a resolution an order of magnitude narrower than traditional QTL analysis. We also report the fine mapping of metabolic traits such as plasma lipids. This resource, termed the Hybrid Mouse Diversity Panel, makes possible the integration of multiple data sets and should prove useful for systems-based approaches to complex traits and studies of gene-by-environment interactions.

SUMMARY Obesity is a highly heritable disease driven by complex interactions between genetic and environmental factors. Human genome-wide association studies (GWAS) have identified a number of loci contributing to obesity; however, a major limitation of these studies is the inability to assess environmental interactions common to obesity. Using a systems genetics approach, we measured obesity traits, global gene expression, and gut microbiota composition in response to a high-fat/high-sucrose (HF/HS) diet of more than 100 inbred strains of mice. Here we show that HF/HS feeding promotes robust, strain-specific changes in obesity that is not accounted for by food intake and provide evidence for a genetically determined set-point for obesity. GWAS analysis identified 11 genome-wide significant loci associated with obesity traits, several of which overlap with loci identified in human studies. We also show strong relationships between genotype and gut microbiota plasticity during HF/HS feeding and identify gut microbial phylotypes associated with obesity.

Oxidized phospholipids are thought to promote atherogenesis by stimulating endothelial cells (ECs) to produce inflammatory cytokines, such as IL-8. In studies with mouse models, we previously demonstrated that genetic variation in inflammatory responses of endothelial cells to oxidized lipids contributes importantly to atherosclerosis susceptibility. We now show that similar variations occur in cultured aortic ECs derived from multiple heart transplant donors. These variations were stably maintained between passages and, thus, reflect either genetic or epigenetic regulatory differences. Expression array analysis of aortic EC cultures derived from 12 individuals revealed that >1,000 genes were regulated by oxidized phospholipids. We have used the observed variations in the sampled population to construct a gene coexpression network comprised of 15 modules of highly connected genes. We show that several identified modules are significantly enriched in genes for known pathways and confirm a module enriched for unfolded protein response (UPR) genes using siRNA and the UPR inducer tunicamycin. On the basis of the constructed network, we predicted that a gene of unknown function (MGC4504) present in the UPR module is a target for UPR transcriptional activator ATF4. Our data also indicate that IL-8 is present in the UPR module and is regulated, in part, by the UPR. We validate these by using siRNA. In conclusion, we show that interindividual variability can be used to group genes into pathways and predict gene-gene regulatory relationships, thus identifying targets potentially involved in susceptibility to common diseases such as atherosclerosis.genetic ͉ interleukin 8 ͉ atherosclerosis ͉ unfolded protein response ͉ network A therosclerosis, the major cause of heart disease, is characterized by the accumulation of cholesterol, inflammatory cells, smooth muscle cells, and fibrous elements beneath the endothelial cell (EC) monolayer that lines the artery wall (1). Although numerous risk factors for atherosclerosis, such as elevated blood pressure, hypercholesterolemia, and smoking, have been recognized, these factors do not alone account for the genetic contribution to risk (2). An important mechanism contributing to the recruitment of inflammatory cells in atherosclerosis is the induction of adhesion molecules, growth factors, and cytokines in vascular ECs by oxidized phospholipids, such as oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycero-phosphorylcholine (oxPAPC) derived from lipoproteins trapped in the vessel wall (3).We have previously demonstrated that ECs from different strains of mice show differences in the induction of inflammatory genes when treated with oxidized lipoproteins, and that these differences segregate with susceptibility to atherosclerosis (4, 5). Studies in human populations show significant variability in the plasma levels of inflammatory mediators associated with atherosclerosis, including IL-8 and C-reactive protein (6-8). The plasma levels of cytokines are influenced by genetic and environmenta...

Objective-Oxidized 1-palmitoyl-2-arachidonyl-sn-3-glycero-phosphorylcholine (oxPAPC) accumulates in atherosclerotic lesions and in vitro studies suggest that it mediates chronic inflammatory response in endothelial cells (ECs). The goal of our studies was to identify pathways mediating the induction of inflammatory genes by oxPAPC. Methods and Results-Using expression arrays, quantitative polymerase chain reaction (PCR), and immunoblotting we demonstrate that oxPAPC leads to endoplasmic reticulum stress and activation of the unfolded protein response (UPR) in human aortic ECs. Immunohistochemistry analysis of human atherosclerotic lesions indicated that UPR is induced in areas containing oxidized phospholipids. Using the UPR inducing agent tunicamycin and selective siRNA targeting of the ATF4 and XBP1 branches of the UPR, we demonstrate that these transcription factors are essential mediators of IL8, IL6, and MCP1 expression in human aortic ECs required for maximal inflammatory gene expression in the basal state and after oxPAPC treatment. We also identify a novel oxPAPC-induced chemokine, the CXC motif ligand 3 (CXCL3), and show that its expression requires XBP1. Conclusions-These

Subcutaneous adipose tissue stores excess lipids and maintains energy balance. We performed expression quantitative trait locus (eQTL) analyses by using abdominal subcutaneous adipose tissue of 770 extensively phenotyped participants of the METSIM study. We identified cis-eQTLs for 12,400 genes at a 1% false-discovery rate. Among an approximately 680 known genome-wide association study (GWAS) loci for cardio-metabolic traits, we identified 140 coincident cis-eQTLs at 109 GWAS loci, including 93 eQTLs not previously described. At 49 of these 140 eQTLs, gene expression was nominally associated (p < 0.05) with levels of the GWAS trait. The size of our dataset enabled identification of five loci associated (p < 5 3 10 À8 ) with at least five genes located >5 Mb away. These trans-eQTL signals confirmed and extended the previously reported KLF14-mediated network to 55 target genes, validated the CIITA regulation of class II MHC genes, and identified ZNF800 as a candidate master regulator. Finally, we observed similar expression-clinical trait correlations of genes associated with GWAS loci in both humans and a panel of genetically diverse mice. These results provide candidate genes for further investigation of their potential roles in adipose biology and in regulating cardio-metabolic traits.