RT Journal Article
SR Electronic
T1 A complete tool set for molecular QTL discovery and analysis
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 068635
DO 10.1101/068635
A1 Olivier Delaneau
A1 Halit Ongen
A1 Andrew Brown
A1 Alexandre Fort
A1 Nikolaos Panousis
A1 Emmanouil Dermitzakis
YR 2016
UL http://biorxiv.org/content/early/2016/08/10/068635.abstract
AB Population scale studies combining genetic information with molecular phenotypes (e.g. gene expression) become a standard to dissect the effects of genetic variants onto organismal. This kind of datasets requires powerful, fast and versatile methods able to discover molecular Quantitative Trait Loci (molQTL). Here we propose such a solution, QTLtools, a modular framework that contains multiple methods to prepare the data, to discover proximal and distal molQTLs and to finally integrate them with GWAS variants and functional annotations of the genome. We demonstrate its utility by performing a complete expression QTL study in a few and easy-to-perform steps. QTLtools is open source and available at https://gtltools.github.io/gtltools/