ArticleNucleic acids research2014
WormQTLHD--a web database for linking human disease to natural variation data in C. elegans.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.Database : the journal of biological databases and curation · 2020Article
- Article
- Ras/MAPK Modifier Loci Revealed by eQTL inG3 (Bethesda, Md.) · 2017Article
- Genetic variation in neurodegenerative diseases and its accessibility in the model organism Caenorhabditis elegans.Human genomics · 2017Review
- reGenotyper: Detecting mislabeled samples in genetic data.PloS one · 2017Article
- Article
- Natural Genetic Variation Differentially Affects the Proteome and Transcriptome in Caenorhabditis elegans.Molecular & cellular proteomics : MCP · 2016Article
- Natural Genetic Variation Influences Protein Abundances in C. elegans Developmental Signalling Pathways.PloS one · 2016Article
- Collective effects of common SNPs in foraging decisions in Caenorhabditis elegans and an integrative method of identification of candidate genes.Scientific reports · 2015Article
- Genotype-dependent lifespan effects in peptone deprived Caenorhabditis elegans.Scientific reports · 2015Article
- Remarkably Divergent Regions Punctuate the Genome Assembly of the Caenorhabditis elegans Hawaiian Strain CB4856.Genetics · 2015Article
- Widespread genomic incompatibilities in Caenorhabditis elegans.G3 (Bethesda, Md.) · 2014Article
- Loss-of-function of β-catenin bar-1 slows development and activates the Wnt pathway in Caenorhabditis elegans.Scientific reports · 2014Article
- A rapid and massive gene expression shift marking adolescent transition in C. elegans.Scientific reports · 2014Article
- Article
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9 authors.
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Abstract
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.
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