WormQTLHD


24217915	WormQTLHD--a web database for linking human disease to natural variation data in C. elegans. [PMID: 24217915] van der Velde KJ, de Haan M, Zych K, Arends D, Snoek LB, Kammenga JE, Jansen RC, Swertz MA, Li Y. 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. Nucleic Acids Res. 2014:42(Database issue) \| 15 Citations (from Europe PMC, 2025-03-29)
23180786	WormQTL--public archive and analysis web portal for natural variation data in Caenorhabditis spp. [PMID: 23180786] Snoek LB, Van der Velde KJ, Arends D, Li Y, Beyer A, Elvin M, Fisher J, Hajnal A, Hengartner MO, Poulin GB, Rodriguez M, Schmid T, Schrimpf S, Xue F, Jansen RC, Kammenga JE, Swertz MA. Abstract Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumental for molecular quantitative genetics and the systems biology of natural variation. These efforts have resulted in a valuable amount of phenotypic, high-throughput molecular and genotypic data across different developmental worm stages and environments in hundreds of C. elegans strains. WormQTL provides a workbench of analysis tools for genotype-phenotype linkage and association mapping based on but not limited to R/qtl (http://www.rqtl.org). All data can be uploaded and downloaded using simple delimited text or Excel formats and are accessible via a public web user interface for biologists and R statistic and web service interfaces for bioinformaticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers. Nucleic Acids Res. 2013:41(Database issue) \| 22 Citations (from Europe PMC, 2025-03-29)

WormQTLHD--a web database for linking human disease to natural variation data in C. elegans. [PMID: 24217915]

van der Velde KJ, de Haan M, Zych K, Arends D, Snoek LB, Kammenga JE, Jansen RC, Swertz MA, Li Y.

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.

Nucleic Acids Res. 2014:42(Database issue) | 15 Citations (from Europe PMC, 2025-03-29)

WormQTL--public archive and analysis web portal for natural variation data in Caenorhabditis spp. [PMID: 23180786]

Snoek LB, Van der Velde KJ, Arends D, Li Y, Beyer A, Elvin M, Fisher J, Hajnal A, Hengartner MO, Poulin GB, Rodriguez M, Schmid T, Schrimpf S, Xue F, Jansen RC, Kammenga JE, Swertz MA.

Abstract

Here, we present WormQTL (http://www.wormqtl.org), an easily accessible database enabling search, comparative analysis and meta-analysis of all data on variation in Caenorhabditis spp. Over the past decade, Caenorhabditis elegans has become instrumental for molecular quantitative genetics and the systems biology of natural variation. These efforts have resulted in a valuable amount of phenotypic, high-throughput molecular and genotypic data across different developmental worm stages and environments in hundreds of C. elegans strains. WormQTL provides a workbench of analysis tools for genotype-phenotype linkage and association mapping based on but not limited to R/qtl (http://www.rqtl.org). All data can be uploaded and downloaded using simple delimited text or Excel formats and are accessible via a public web user interface for biologists and R statistic and web service interfaces for bioinformaticians, based on open source MOLGENIS and xQTL workbench software. WormQTL welcomes data submissions from other worm researchers.

Nucleic Acids Res. 2013:41(Database issue) | 22 Citations (from Europe PMC, 2025-03-29)

URL:	http://www.wormqtl-hd.org/molgenis.do
Full name:	A Web Database for Linking Human Disease to Natural Variation Data in C. elegans.
Description:	WormQTLHD is an online scalable system for QTL exploration to service the worm community. WormQTLHD provides many publicly available datasets and welcomes submissions from other worm researchers.
Year founded:	2013
Last update:	2013-11-11
Version:	v1.0
Accessibility:	Accessible
Country/Region:	Netherlands

Data type:	DNA
Data object:
Database category:	Genotype phenotype and variation Health and medicine
Major species:	Caenorhabditis elegans Homo sapiens
Keywords:	eQTL

University/Institution:	University of Groningen
Address:	P.O. Box 30001, 9700 RB Groningen, The Netherlands
City:	Groningen
Province/State:
Country/Region:	Netherlands
Contact name (PI/Team):	Morris A. Swertz
Contact email (PI/Helpdesk):	m.a.swertz@rug.nl

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Database Commons a catalog of worldwide biological databases