Phenotype-eGene associations in some multimorbid clusters.
datasetposted on 07.11.2018 by Tayaza Fadason, William Schierding, Thomas Lumley, Justin O'Sullivan
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Convex biclustering of shared eGenes among phenotypes resulted in several clusters (Supplementary Figure 4). For each eGene in a cluster, an eGene score (i.e. the percentage of the phenotypes whose associated variants affect the expression of the eGene) is calculated. This data gives for each eGene, the eGene score, number of traits with which the eGene is associated, and its eQTL pairs in the clusters around poly-unsaturated fatty acid metabolism, lung disorders, immune disorders, and mood disorders.