Aims: Liver fibrosis is a complex disease mediated by multiple interacting genes and environmental
            factors. Our aim is to identify genes that drive profibrogenic expression profiles
            during liver fibrogenesis. We availed of the genetically well characterised reference
            panel of BXD recombinant inbred lines and linked phenotypic differences to the genetic
            variation segregating in this genetic reference population.
         
         
            
         
            Methods: Liver fibrosis was induced in 30 BXD lines (392 mice) by CCl4 (12 injections i.p.; 0.7mg/kg). Fibrosis progression was assessed by histological
            fibrosis staging and quantification of hepatic collagen. The hepatic expression profiles
            of each line were generated using Affymetrix Mouse Gene 1.0 ST arrays (>34000 probes).
            Genome-wide interval-mapping was performed to identify quantitative trait loci influencing
            fibrotic phenotypes (pQTLs) and regulating gene expression (eQTLs). In silico analyses
            were performed using the GeneNetwork database, which allows the comparison of gene
            regulation in different treatment groups (CCl4, NaCl or EtOH) and tissues (kidney, lung, leukocytes).
         
         
            
         
            Results: The BXD lines show specific differences in susceptibility to CCl4-induced fibrosis. Interval mapping identified seven significant (PG<0.05) fibrosis susceptibility loci (pQTL) on chromosomes (Chr) 4, 5, 7, 12 and 17.
            The dissection of these pQTL regions by eQTL mapping revealed several cis-regulated
            genes (cisQTG). In silico analyses of the cisQTG identified genes differenzially regulated
            during fibrogenesis, as compared to their regulation in healthy animals (e.g., Cxcl10
            controlled by a marker on Chr5: 98.2 Mb after CCl4 vs. Chr2: 64.7 Mb in healthy animals. Similar results were obtained for Nuclear receptor1h2
            (Lxr), known to be involved in stellate cell regulation.
         
         
            
         
            Conclusions: Genotype-phenotype correlations in the BXD panel allowed us to identify potential
            regulatory mechanisms during fibrogenesis. The identification of known profibrogenic
            molecules Cxcl10 and Nr1h2 is proof of concept for our approach to detect fibrotic
            mediators. The experimental set-up provides an experimental framework for modelling
            gene networks that drive liver fibrogenesis.