Chang Le, Zhou Guangyan, Ou Huiting, Xia Jianguo
Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada.
Institute of Parasitology, McGill University, Montreal, QC H9X 3V9, Canada.
Metabolites. 2022 Jun 7;12(6):526. doi: 10.3390/metabo12060526.
Tens of thousands of single-nucleotide polymorphisms (SNPs) have been identified to be significantly associated with metabolite abundance in over 65 genome-wide association studies with metabolomics (mGWAS) to date. Obtaining mechanistic or functional insights from these associations for translational applications has become a key research area in the mGWAS community. Here, we introduce mGWAS-Explorer, a user-friendly web-based platform to help connect SNPs, metabolites, genes, and their known disease associations via powerful network visual analytics. The application of the mGWAS-Explorer was demonstrated using a COVID-19 and a type 2 diabetes case studies.
截至目前，在超过65项代谢组学全基因组关联研究（mGWAS）中，已鉴定出数以万计的单核苷酸多态性（SNP）与代谢物丰度显著相关。从这些关联中获得用于转化应用的机制或功能见解，已成为mGWAS领域的一个关键研究方向。在此，我们介绍了mGWAS-Explorer，这是一个用户友好的基于网络的平台，通过强大的网络可视化分析来帮助连接SNP、代谢物、基因及其已知的疾病关联。通过新冠病毒病（COVID-19）和2型糖尿病的案例研究展示了mGWAS-Explorer的应用。
