A novel probabilistic methodology for eQTL analysis of signaling networks

Roni Wilentzik, Irit Gat-Viks*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Quantitative trait loci (QTL) studies of common diseases have been spectacularly successful in the last few years and became routine in medical genetics. These studies typically identify genetic variants (QTLs) that are associated with organismal phenotypes, such as susceptibility to disease. Genetic variants can underlie the abundance of gene transcripts, forming ‘expression QTLs’ (eQTLs; [1]). Despite the biomedical importance of understanding how such loci truly affect quantitative traits, several questions remain unsolved: What is the particular mechanism by which a genomic locus affects a quantitative trait? Which specific signaling pathways are responsible for propagating the inherited variation from an eQTL to the gene expression or physiological trait? On which component within such a pathway does the genetic variant act? While it is clear that genetic variants play a critical role in quantitative traits, it is still not fully understood how such variants lead to the inherited variation.

Original languageEnglish
Title of host publicationResearch in Computational Molecular Biology - 19th Annual International Conference, RECOMB 2015, Proceedings
EditorsTeresa M. Przytycka
PublisherSpringer Verlag
Pages338-339
Number of pages2
ISBN (Electronic)9783319167053
DOIs
StatePublished - 2015
Event19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015 - Warsaw, Poland
Duration: 12 Apr 201515 Apr 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9029
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015
Country/TerritoryPoland
CityWarsaw
Period12/04/1515/04/15

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