ArticleNucleic acids research2011
AnnotQTL: a new tool to gather functional and comparative information on a genomic region.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- QTL detection for coccidiosis (Eimeria tenella) resistance in a Fayoumi × Leghorn F₂ cross, using a medium-density SNP panel.Genetics, selection, evolution : GSE · 2014Article
- Re-sequencing data for refining candidate genes and polymorphisms in QTL regions affecting adiposity in chicken.PloS one · 2014Article
- Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.Genetics, selection, evolution : GSE · 2013Article
- Fine mapping of complex traits in non-model species: using next generation sequencing and advanced intercross lines in Japanese quail.BMC genomics · 2012Article
- The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.Mammalian genome : official journal of the International Mammalian Genome Society · 2012Article
- Gene family matters: expanding the HGNC resource.Human genomics · 2012Review
- A maximum likelihood QTL analysis reveals common genome regions controlling resistance to Salmonella colonization and carrier-state.BMC genomics · 2012Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AnnotQTL is a web tool designed to aggregate functional annotations from different prominent web sites by minimizing the redundancy of information. Although thousands of QTL regions have been identified in livestock species, most of them are large and contain many genes. This tool was therefore designed to assist the characterization of genes in a QTL interval region as a step towards selecting the best candidate genes. It localizes the gene to a specific region (using NCBI and Ensembl data) and adds the functional annotations available from other databases (Gene Ontology, Mammalian Phenotype, HGNC and Pubmed). Both human genome and mouse genome can be aligned with the studied region to detect synteny and segment conservation, which is useful for running inter-species comparisons of QTL locations. Finally, custom marker lists can be included in the results display to select the genes that are closest to your most significant markers. We use examples to demonstrate that in just a couple of hours, AnnotQTL is able to identify all the genes located in regions identified by a full genome scan, with some highlighted based on both location and function, thus considerably increasing the chances of finding good candidate genes. AnnotQTL is available at http://annotqtl.genouest.org.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.