Your browser doesn't support javascript.
loading
mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights.
Chang, Le; Zhou, Guangyan; Ou, Huiting; Xia, Jianguo.
Afiliação
  • Chang L; Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada.
  • Zhou G; Institute of Parasitology, McGill University, Montreal, QC H9X 3V9, Canada.
  • Ou H; Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada.
  • Xia J; Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada.
Metabolites ; 12(6)2022 Jun 07.
Article em En | MEDLINE | ID: mdl-35736459
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Metabolites Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Metabolites Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá País de publicação: Suíça