Correlation Trait Loci (CTL) mapping: phenotype network inference subject to genotype

Danny Arends, Yang Li, Gudrun A. Brockmann, Ritsert C. Jansen, Robert W. Williams, Pjotr Prins

Research output: Contribution to journalArticlepeer-review


The CTLmapping repository contains an implementation of the Correlation Trait Loci (CTL) algorithm first presented in (Danny Arends 2014). CTL mapping allows geneticists to pursue network inference by discovering genetic loci associated with correlation difference between phenotypes.
CTL mapping is complementary to the proven quantitative trait locus (QTL) mapping method which maps/associates each separately observed phenotype against genotype. CTL mapping, in contrast, associates correlation differences observed between two phenotypes at a time, subject to the genotype. In other words, QTL mapping treats phenotypes independently while CTL mapping connects phenotypes.
Original languageEnglish
Pages (from-to)87-87
Number of pages1
JournalThe Journal of Open Source Software
Issue number6
Publication statusPublished - 30 Oct 2016


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