Short introduction & scheme of tools
Identifying genetic and environmental factors that impact complex traits and common diseases is a high biomedical priority. These webtools make use of the multilayered datasets from the BXD mouse population to expedite in silico gene function prediction through a series of integrative and complimentary systems analytical approaches, including (expression-based) phenome-wide association, transcriptome-/proteome-wide association, and (reverse-) mediation analysis.
News and updates
Nov 29, 2017
Our paper titled An integrated systems genetics and omics toolkit to probe gene function is published online in Cell Systems.
May 15, 2017
Mediation and reverse-mediation analysis are implemented.
May 1, 2017
ePheWAS, a way to identify associations between gene transcript or protein levels and phenome was updated.
Statistical summary of data
Over the past decades, hundreds of studies on the BXD population have created a wealth of multi-layered omics data, ranging from genomic, transcriptomic, proteomic, metabolomic, to phenomic data.