Qtlizer
The software tool "Qtlizer" facilitates the annotation of genetic variants in human genomes by quantitatively linking them to gene expression and protein abundance changes through an integrated database of published quantitative trait loci (QTLs). Addressing challenges posed by diverse QTL databases and the absence of batch annotation features in genome-wide association studies (GWAS), Qtlizer allows comprehensive annotation of GWAS results. Noteworthy features include consideration of variants in linkage disequilibrium and a reverse search option using gene names.
The tool challenges the commonly used cis-distance limit of 1,000,000 base pairs by analyzing base pair distances between the most significant expression QTLs (eQTLs) and their associated genes, suggesting potential inaccuracies in eQTL detection. Additionally, Qtlizer ranks genes based on the consistency of their most significant eQTL signals across tissue-specific studies, revealing enrichment patterns such as a strong association with housekeeping genes.
Topic
GWAS study;DNA polymorphism;Mapping;Gene expression;Genotype and phenotype
Detail
Operation: Gene expression QTL analysis;Genetic mapping;Quantification;SNP annotation;Variant prioritisation
Software interface: Command-line user interface
Language: R
License: The GNU General Public License v3.0
Cost: Free
Version name: 1.16.0
Credit: The German Research Foundation DFG (Deutsche Forschungsgemeinschaft, the Land Schleswig-Holstein within the funding program “Open Access Publikationsfonds” and the clusters of excellence “Inflammation at Interfaces” (IaI) and “Precision Medicine in Chronic Inflammation” (PMI), the Peter und Traudl Engelhorn Foundation.
Input: -
Output: -
Contact: Matthias Munz matthias.munz@gmx.de ,Jeanette Erdmann jeanette.erdmann@uni-luebeck.de
Collection: -
Maturity: Stable
Publications
- Qtlizer: comprehensive QTL annotation of GWAS results.
- Munz M, et al. Qtlizer: comprehensive QTL annotation of GWAS results. Qtlizer: comprehensive QTL annotation of GWAS results. 2020; 10:20417. doi: 10.1038/s41598-020-75770-7
- https://doi.org/10.1038/S41598-020-75770-7
- PMID: 33235230
- PMC: PMC7687904
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/Qtlizer_1.16.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/Qtlizer/man/Qtlizer.pdf
Home page: https://bioconductor.org/packages/release/bioc/html/Qtlizer.html
Links: https://bioconductor.org/packages/release/bioc/vignettes/Qtlizer/inst/doc/Qtlizer.html
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