ABSTRACT
Motivation Exploration of genetic variant-to-gene relationships by quantitative trait loci (QTLs) helps to identify candidate causal variants and genes in post genome-wide association study analyses. However, the wide range of public QTL databases and the lack of batch annotation features make it cumbersome to investigate these relationships in a comprehensive manner.
Results In this work, we introduce the tool ‘Qtlizer’ to annotate lists of common variants in human with associated changes in gene expression and protein abundance using the, to-date, most comprehensive database of published QTLs. The features include incorporation of LD variants, quality and reproducibility metrics and linking to other resources.
Availability and Implementation The web application of Qtlizer is available at http://www.genehopper.de/qtlizer, a guide on how to use the REST API is available at http://www.genehopper.de/rest.
Contact m.munz{at}uni-luebeck.de
