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 PMID:11973013  

Identification of quantitative trait loci for chemical/inflammatory nociception in mice.

Sonya G Wilson | Elissa J Chesler | Heather Hain | Andrew J Rankin | Joel Z Schwarz | Stanford B Call | Michael R Murray | Erin E West | Cory Teuscher | Sandra Rodriguez-Zas | John K Belknap | Jeffrey S Mogil
Pain | 2002

Sensitivity to pain is widely variable, and much of this variability is genetic in origin. The specific genes responsible have begun to be identified, but only for thermal nociception. In order to facilitate the identification of polymorphic, pain-related genes with more clinical relevance, we performed quantitative trait locus (QTL) mapping studies of the most common assay of inflammatory nociception, the formalin test. QTL mapping is a technique that exploits naturally occurring variability among inbred strains for the identification of genomic locations containing genes contributing to that variability. An F2 intercross was constructed using inbred A/J and C57BL/6J mice as progenitors, strains previously shown to display resistance and sensitivity, respectively, to formalin-induced nociception. Following phenotypic testing (5% formalin, 25 microl intraplantar injection), mice were genotyped at 90 microsatellite markers spanning the genome. We provide evidence for two statistically significant formalin test QTLs - chromosomal regions whose inheritance is associated with trait variability - on distal mouse chromosomes 9 and 10. Identification of the genes underlying these QTLs may illuminate the basis of individual differences in inflammatory pain, and lead to novel analgesic treatment strategies.

Pubmed ID: 11973013

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Associated grants

  • Agency: NIDA NIH HHS, United States
    Id: DA11394
  • Agency: NIDA NIH HHS, United States
    Id: DA6000
  • Agency: NIDCR NIH HHS, United States
    Id: DE12735

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Mouse Genome Informatics (MGI) (tool)

RRID:SCR_006460

International database for laboratory mouse. Data offered by The Jackson Laboratory includes information on integrated genetic, genomic, and biological data. MGI creates and maintains integrated representation of mouse genetic, genomic, expression, and phenotype data and develops reference data set and consensus data views, synthesizes comparative genomic data between mouse and other mammals, maintains set of links and collaborations with other bioinformatics resources, develops and supports analysis and data submission tools, and provides technical support for database users. Projects contributing to this resource are: Mouse Genome Database (MGD) Project, Gene Expression Database (GXD) Project, Mouse Tumor Biology (MTB) Database Project, Gene Ontology (GO) Project at MGI, and MouseCyc Project at MGI.

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