To visualize identified associations between SNPs, expressed genes, and metabolites as well as causal relations between gene-expression and metabolites
Data for visualisation of associations and causal relationsships of SNPs, gene expression, and metabolites based on 1,856 individuals of the LIFE Heart study
We analyzed whole blood levels of amino acids and acylcarnitines, reflecting disease relevant metabolic pathways. For this, we performed a genome wide association analysis to discover genetic variants influencing metabolism. Thereby, we discovered six novel regions in the genome and confirmed ten regions previously found to be associated with metabolites in plasma, serum or urine. Subsequently, we analyzed whether these variants regulate gene-expression in peripheral mononuclear cells and at several loci we identified novel causal relations between SNPs, gene-expression and metabolite levels.
Institut für Medizinische Informatik, Statistik und Epidemiologie (IMISE), Härtelstr. 16-18, 04107 Leipzig