Dataset Information
Fast and efficient QTL mapper for thousands of molecular phenotypes.
Ontology highlight
ABSTRACT: Motivation
In order to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of thousands of molecular phenotypes with millions of genetic variants while appropriately controlling for multiple testing.Results
We have developed FastQTL, a method that implements a popular cis-QTL mapping strategy in a user- and cluster-friendly tool. FastQTL also proposes an efficient permutation procedure to control for multiple testing. The outcome of permutations is modeled using beta distributions trained from a few permutations and from which adjusted P-values can be estimated at any level of significance with little computational cost. The Geuvadis & GTEx pilot datasets can be now easily analyzed an order of magnitude faster than previous approaches.Availability and implementation
Source code, binaries and comprehensive documentation of FastQTL are freely available to download at http://fastqtl.sourceforge.net/Contact
emmanouil.dermitzakis@unige.ch or olivier.delaneau@unige.chSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Ongen H
PROVIDER: S-EPMC4866519 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
Publications
Fast and efficient QTL mapper for thousands of molecular phenotypes.
Bioinformatics (Oxford, England) 20151226 10
<h4>Motivation</h4>In order to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of thousands of molecular phenotypes with millions of genetic variants while appropriately controlling for multiple testing.<h4>Results</h4>We have developed FastQTL, a method that implements a popular cis-QTL mapping strategy in a user- and cluster-friendly tool. FastQTL also proposes an efficient permutation procedur ...[more]
