Worm variation made accessible: Take your shopping cart to store, link, and investigate!
In Caenorhabditis elegans, the recent advances in high-throughput quantitative analyses of natural genetic and phenotypic variation have led to a wealth of data on genotype phenotype relations. This data has resulted in the discovery of genes with major allelic effects and insights in the effect of natural genetic variation on a whole range of complex traits as well as how this variation is distributed across the genome. Regardless of the advances presented in specific studies, the majority of the data generated in these studies had yet to be made easily accessible, allowing for meta-analysis. Not only data in figures or tables but meta-data should be accessible for further investigation and comparison between studies. A platform was created where all the data, phenotypic measurements, genotypes, and mappings can be stored, compared, and new linkages within and between published studies can be discovered. WormQTL focuses on quantitative genetics in Caenorhabditis and other nematode species, whereas WormQTL(HD) quantitatively links gene expression quantitative trait loci (eQTL) in C. elegans to gene-disease associations in humans.
Laboratory of Nematology; Wageningen University; The Netherlands.
L Basten
LB
Snoek
Genomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands ; Department of Genetics; University of Groningen; University Medical Center Groningen; The Netherlands.
K
K
Joeri van der Velde
Genomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands.
Yang
Y
Li
Groningen Bioinformatics Center; University of Groningen; The Netherlands.
Ritsert C
RC
Jansen
Genomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands ; Department of Genetics; University of Groningen; University Medical Center Groningen; The Netherlands.
Morris A
MA
Swertz
Laboratory of Nematology; Wageningen University; The Netherlands.
Jan E
JE
Kammenga
C. elegans; QTL; WormQTL; WormQTLHD; database; eQTL; genotype-phenotype; human disease; quantitative genetics