13059_2017_1156_MOESM2_ESM.xlsx (467.6 kB)
Additional file 2: of Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types
dataset
posted on 2017-01-26, 05:00 authored by Simone Ecker, Lu Chen, Vera Pancaldi, Frederik Bagger, José Fernández, Enrique Carrillo de Santa Pau, David Juan, Alice Mann, Stephen Watt, Francesco Casale, Nikos Sidiropoulos, Nicolas Rapin, Angelika Merkel, Hendrik Stunnenberg, Oliver Stegle, Mattia Frontini, Kate Downes, Tomi Pastinen, Taco Kuijpers, Daniel Rico, Alfonso Valencia, Stephan Beck, Nicole Soranzo, Dirk PaulAnnotation of genes showing hypervariable gene expression. For cell type-specific hypervariable genes, we provide the results of the correlation analyses of gene expression levels with genetic variation, donor-specific information, cell counts in peripheral blood, as well as seasonal data (corresponding to the date of blood donation). Only correlations with BH-corrected P < 0.05 are reported (indicated by “TRUE”). For all traits other than genetic variation the results presented are based on Spearman correlation tests (see Additional file 4 for correlation coefficients and P values). More detailed information, such as the corresponding SNP IDs for expression QTLs (obtained by the BLUEPRINT Human Variation Panel), can be found in our data portal available online at: http://blueprint-dev.bioinfo.cnio.es/WP10/hypervariability . (XLSX 467 kb)
