%0 Generic %A Fadason, Tayaza %A Schierding, William %A Lumley, Thomas %A O'Sullivan, Justin %D 2018 %T Phenotype-eGene associations in some multimorbid clusters. %U https://auckland.figshare.com/articles/dataset/Supplementary_Data_3_Phenotype-eGene_associations_in_some_multimorbid_clusters_/7295702 %R 10.17608/k6.auckland.7295702.v3 %2 https://auckland.figshare.com/ndownloader/files/13500233 %K multimorbidity %K fat metabolism %K immune disorders %K lung disorders %K mood disorders %K comorbidity %K GWAS %K pleiotropy %K complex disease %K eGenes %K Hi-C %K eQTL %K convex biclustering %K Medical Genetics (excl. Cancer Genetics) %K Quantitative Genetics (incl. Disease and Trait Mapping Genetics) %K Genetics %X 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.
%I The University of Auckland