Expression and splicing quantitative trait locus (e/sQTLs) summary statistics from normal colon tissue
(Data accompanying the journal article)

Short title: Genetic effects on colon transcriptome
Title: Genetic effects on transcriptome profiles in colon epithelium provide functional insights for
genetic risk loci
Authors: Virginia Díez‐Obrero 1,2,3,4 , Christopher H Dampier 5,6,7 , Ferran
Moratalla-Navarro 1,3,4 , Matthew Devall 5,6 , Sarah J Plummer 5,6 , Anna Díez-Villanueva 1,2,3 , Ulrike Peters 8 ,
Stephanie Bien 8 , Jeroen R Huyghe 8 , Anshul Kundaje 9 , Gemma Ibáñez-Sanz 1,2,3,10 , Elisabeth Guinó 1,2,3 ,
Mireia Obón-Santacana 1,2,3 , Robert Carreras-Torres 1,2,3 , Graham Casey 5,6,11,* , Victor Moreno 1,2,3,4,11,*
1 Oncology Data Analytics Program, Catalan Institute of Oncology (ICO). L’Hospitalet de Llobregat,
Barcelona, Spain.
2 Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL).
L’Hospitalet de Llobregat, Barcelona, Spain.
3 Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Spain.
4 Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain.
5 Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
6 Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
7 Department of Surgery, University of Virginia, Charlottesville, VA, USA.
8 Epidemiology Department, University of Washington, Seattle, WA; Public Health Sciences Division,
Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
9 Department of Genetics, Stanford University, Stanford, CA, USA.
10 Gastroenterology Department, Bellvitge University Hospital, Hospitalet de Llobregat, Spain.
Submitted to Journal: Cellular and Molecular Gastroenterology and Hepatology.



Type of data: File Supplemental_Data_1.tar is a tar archive containing 5 text files
compressed with xz.

Data otained during the period: 2015-2019

Keywords: gene expression; alternative splicing; QTLs; colon

Summary:
We profiled gene expression and alternative splicing of non-neoplastic colon from biopsies of 445 healthy individuals. Here we provide summary statistics listings of BarcUVa-Seq eQTLs and sQTLs (from SUPPA2 and from LeafCutter), and of GTEx v8 transverse colon and sigmoid colon sQLTs (from SUPPA2). Filenames indicate the content of each file: {study}.{analysis}.{method}.

barcuvaseq.eqtls.allpairs.sumstats.txt.xz
gtex-colon-sigmoid.sqtls.suppa2.allpairs.sumstats.txt.xz
barcuvaseq.sqtls.leafcutter.allpairs.sumstats.txt.xz
gtex-colon-transverse.sqtls.suppa2.allpairs.sumstats.txt.xz
barcuvaseq.sqtls.suppa2.allpairs.sumstats.txt.xz

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