Genetic Regulation of Liver Metabolites and Transcripts Linking to Biochemical-Clinical Parameters

Conclusion In summary, this study is the first to combine metabolomics, transcriptomics, and genome-wide association studies in a porcine model. Our results improve understanding of the genetic regulation of metabolites which link to transcripts and finally biochemical-clinical parameters. Further, high-performance profiling of metabolites as intermediate phenotypes is a potentially powerful approach to uncover how genetic variation affects metabolic and health status. Our results advance knowledge in areas of biomedical and agricultural interest and identify potential correlates of biomarkers, SNPs-metabolites, SNPs-transcripts, and biochemical-clinical traits. Ethics Statement Animal care and tissue collection procedures were approved by the Animal Care Committee of the Leibniz Institute for Farm Animal Biology and carried out in accordance with the approved guidelines for safeguarding good scientific practice at the institutions in the Leibniz Association and the measures were taken to minimize pain and discomfort and accord with the guidelines laid down by the European Communities Council Directive of 24 November 1986 (86/609/EEC). Author Contributions SP and KW designed the study and interpreted the data. SP performed the statistical and bioinformatic analyses and drafted the manuscript. FH helped in bioinformatics analyses. EM and NT sampled the tissue probes and obtained biochemical-clinical data. KM and ML performed non-targeted metabolic profiling. FH, NT, EM, K...
Source: Frontiers in Genetics - Category: Genetics & Stem Cells Source Type: research