Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 559745
Title WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans
Author(s) Snoek, Basten L.; Sterken, Mark G.; Hartanto, Margi; Zuilichem, Albert-Jan Van; Kammenga, Jan E.; Ridder, Dick De; Nijveen, Harm
Source Database : the Journal of Biological Databases and Curation 2020 (2020). - ISSN 1758-0463
DOI https://doi.org/10.1093/database/baz149
Department(s) Groep Koornneef
PE&RC
Laboratory of Nematology
Bioinformatics
EPS
Publication type Refereed Article in a scientific journal
Publication year 2020
Abstract Quantitative genetics provides the tools for linking polymorphic loci to trait variation. Linkage analysis of gene expression is an established and widely applied method, leading to the identification of expression quantitative trait loci (eQTLs). (e)QTL detection facilitates the identification and understanding of the underlying molecular components and pathways, yet (e)QTL data access and mining often is a bottleneck. Here, we present WormQTL2, a database and platform for comparative investigations and meta-analyses of published (e)QTL data sets in the model nematode worm C. elegans. WormQTL2 integrates six eQTL studies spanning 11 conditions as well as over 1000 traits from 32 studies and allows experimental results to be compared, reused and extended upon to guide further experiments and conduct systems-genetic analyses. For example, one can easily screen a locus for specific cis-eQTLs that could be linked to variation in other traits, detect gene-by-environment interactions by comparing eQTLs under different conditions, or find correlations between QTL profiles of classical traits and gene expression. WormQTL2 makes data on natural variation in C. elegans and the identified QTLs interactively accessible, allowing studies beyond the original publications.
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