Visualisation files for multimorbidity analysis
收藏DataCite Commons2020-08-28 更新2025-04-17 收录
下载链接：
https://auckland.figshare.com/articles/Visualisation_files_for_multimorbidity_analysis/7308944
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资源简介：
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-range regulatory associations involving >20,000 GWAS variants and their target genes (i.e. eGenes) in >1,350 phenotypes in the GWAS Catalog. Using convex biclustering, we segregated phenotypes based on the eGenes they share, which implies a common underlying molecular mechanism. Understanding the roles the eGenes play has potential applications in understanding multimorbidities and drug repurposing.This datasource underlie the figures generated in the study
提供机构：
The University of Auckland
创建时间：
2018-11-07
