Fast and efficient QTL mapper for thousands of molecular phenotypes
University of Geneva · SIB Swiss Institute of Bioinformatics · +1 more institution
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…
Citation impact
- FWCI
- 19.03
- Percentile
- 100%
- References
- 23
Authors
5- HOHalit Ongen
University of Geneva, SIB Swiss Institute of Bioinformatics
- ABAlfonso Buil
University of Geneva, SIB Swiss Institute of Bioinformatics
- ABAndrew Brown
University of Geneva, SIB Swiss Institute of Bioinformatics, University of Oslo
- ETEmmanouil T. DermitzakisCorresponding
University of Geneva, SIB Swiss Institute of Bioinformatics
- ODOlivier DelaneauCorresponding
University of Geneva, SIB Swiss Institute of Bioinformatics
Topics & keywords
- Computer science
- Permutation (music)
- Source code
- Quantitative trait locus
- Documentation
- Data mining
- Download
- Biology