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WormQTLHD--a web database for linking human disease to natural variation data in C. elegans.
|Title||WormQTLHD--a web database for linking human disease to natural variation data in C. elegans.|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||van der Velde JK, de Haan M, Zych K, Arends D, Snoek BL, Kammenga JE, Jansen RC, Swertz MA, Li Y|
|Journal||Nucleic acids research|
|Date Published||2013 Nov 11|
Interactions between proteins are highly conserved across species. As a result, the molecular basis of multiple diseases affecting humans can be studied in model organisms that offer many alternative experimental opportunities. One such organism-Caenorhabditis elegans-has been used to produce much molecular quantitative genetics and systems biology data over the past decade. We present WormQTL(HD) (Human Disease), a database that quantitatively and systematically links expression Quantitative Trait Loci (eQTL) findings in C. elegans to gene-disease associations in man. WormQTL(HD), available online at http://www.wormqtl-hd.org, is a user-friendly set of tools to reveal functionally coherent, evolutionary conserved gene networks. These can be used to predict novel gene-to-gene associations and the functions of genes underlying the disease of interest. We created a new database that links C. elegans eQTL data sets to human diseases (34 337 gene-disease associations from OMIM, DGA, GWAS Central and NHGRI GWAS Catalogue) based on overlapping sets of orthologous genes associated to phenotypes in these two species. We utilized QTL results, high-throughput molecular phenotypes, classical phenotypes and genotype data covering different developmental stages and environments from WormQTL database. All software is available as open source, built on MOLGENIS and xQTL workbench.
|Alternate Journal||Nucleic Acids Res.|