Division of Cardiology, Department of Medicine, UCLA, Los Angeles, CA, USA.
Department of Molecular Cell and Developmental Biology, UCLA, Los Angeles, CA, USA.
Mol Syst Biol. 2014 May 23;10(5):730. doi: 10.15252/msb.20135004.
We profiled and analyzed 283 metabolites representing eight major classes of molecules including Lipids, Carbohydrates, Amino Acids, Peptides, Xenobiotics, Vitamins and Cofactors, Energy Metabolism, and Nucleotides in mouse liver of 104 inbred and recombinant inbred strains. We find that metabolites exhibit a wide range of variation, as has been previously observed with metabolites in blood serum. Using genome-wide association analysis, we mapped 40% of the quantified metabolites to at least one locus in the genome and for 75% of the loci mapped we identified at least one candidate gene by local expression QTL analysis of the transcripts. Moreover, we validated 2 of 3 of the significant loci examined by adenoviral overexpression of the genes in mice. In our GWAS results, we find that at significant loci the peak markers explained on average between 20 and 40% of variation in the metabolites. Moreover, 39% of loci found to be regulating liver metabolites in mice were also found in human GWAS results for serum metabolites, providing support for similarity in genetic regulation of metabolites between mice and human. We also integrated the metabolomic data with transcriptomic and clinical phenotypic data to evaluate the extent of co-variation across various biological scales.
我们对 283 种代谢物进行了分析,这些代谢物代表了包括脂质、碳水化合物、氨基酸、肽、外源化合物、维生素和辅因子、能量代谢和核苷酸在内的 8 个主要分子类别。我们在 104 个近交系和重组近交系小鼠肝脏中发现,代谢物的变异范围很广,与血清代谢物的先前观察结果一致。通过全基因组关联分析,我们将 40%的定量代谢物映射到基因组中的至少一个基因座,对于映射到的 75%的基因座,我们通过对转录本进行局部表达 QTL 分析,确定了至少一个候选基因。此外,我们通过在小鼠中过表达基因,验证了 3 个显著基因座中的 2 个。在我们的 GWAS 结果中,我们发现,在显著基因座中,峰标记平均解释了代谢物变异的 20%至 40%。此外,在调节小鼠肝脏代谢物的 39%的基因座中,也在人类血清代谢物的 GWAS 结果中发现了这些基因座,这为小鼠和人类之间代谢物遗传调控的相似性提供了支持。我们还将代谢组学数据与转录组学和临床表型数据进行了整合,以评估各种生物学尺度之间的共变程度。