Nature Communications (May 2017)

A complete tool set for molecular QTL discovery and analysis

  • Olivier Delaneau,
  • Halit Ongen,
  • Andrew A. Brown,
  • Alexandre Fort,
  • Nikolaos I. Panousis,
  • Emmanouil T. Dermitzakis

DOI
https://doi.org/10.1038/ncomms15452
Journal volume & issue
Vol. 8, no. 1
pp. 1 – 7

Abstract

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Analysis of molecular quantitative trait loci (molQTL) can help interpret genome-wide association studies and requires efficient approaches to correct for multiple testing. This study describes a bioinformatics toolkit called QTLtool that can handle large data sets and quickly perform multiple types of molQTL analyses.