Release 8
(Apr. 20, 2009)
This Chicken Quantitative Trait Locus database (ChickenQTLdb) has gathered all Chicken QTL data published during the past 10+ years. The database and its peripheral tools make it possible to compare, confirm and locate on chicken chromosomes the most feasible location for genes responsible for quantitative trait important to chicken production.

The current release of the chickenQTLdb contains 657 QTLs from 45 publications. Those QTLs represent 112 different traits (see data summary for more recent updates). These data have also been submitted to the NCBI Gene and Map Viewer resources, where the information about markers are matched to marker records in NCBI's UniSTS database. For ChickenQTLdb development and releases history, see this supplementary note.

Information in the ChickenQTLdb can be accessed in the following ways:
1. Search: By chromosomes, trait names and/or key-words in the publication
2. Browse:
  • By individual chromosomes
  • By animal trait ontology tree
3. View Maps:
4. Data downloads:
5. Data Summary: QTL data statistics by chromosomes, traits, trait types and publication year.
This graph is adopted from the
Rat GDB with kind permission
REFERENCES:
Abasht, B., J. C. M. Dekkers, and S. J. Lamont (2006). Review of Quantitative Trait Loci Identified in the Chicken. Poutry Science, 85(12): 2079-2096 2006.

Zhiliang Hu, Svetlana Dracheva, Wonhee Jang, Donna Maglott, John Bastiaansen, Max F. Rothschild and James M. Reecy (2005).
A QTL resource and comparison tool for pigs: PigQTLDB. Mammalian Genome. Volume 16(10):792-800.

Zhiliang Hu, Eric Ryan Fritz and James M. Reecy (2007). AnimalQTLdb: a livestock QTL database tool set for positional QTL information mining and beyond. Nucleic Acids Research, 2007, 35(Database issue):D604-D609; doi:10.1093/nar/gkl946.

Zhiliang Hu and James M. Reecy (2007). Animal QTLdb: Beyond a Repository - A Public Platform for QTL Comparisons and Integration with Diverse Types of Structural Genomic Information. Mammalian Genome, Volume 18, 1-4 (2007).

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Contact: NAGRP Bioinformatics Team 		July 03, 2009 (Friday)