Release 56
(Apr 24, 2025)

QTL 13804 Description:

 Trait Information
Trait name: Soft tissue depth at GR site Vertebrate Trait Ontology: n/a
Reported name: Soft tissue depth at GR site Product Trait Ontology: n/a
Symbol: GR Clinical Measurement Ontology: n/a
 QTL Map Information
Chromosome:2
QTL Peak Location:141.9 (cM)
QTL Span:149.09-149.29 (cM)
118.3-118.5 (Mbp)
Upper, "Suggestive":n/a
Upper, "Significant":n/a
Peak:BM81124
Lower, "Significant":n/a
Lower, "Suggestive":n/a
Marker type:Microsatellites
Analysis type:Association
Model tested:Mendelian
Test base:n/a
Threshold significance level:Significant
P_values<0.05
Dominance effect:n/a
Additive effect:n/a
Associated Gene:MSTN (myostatin)
Cis/Trans acting type:
Links:   NCBI GeneDB  |  Edit  |   Map view

 Extended information:
(none)

User inputs on QTL #13804
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:Animals were New Zealand Texel sheep.
     Breeds associated:
    Design:Animals were genotyped for two SNPs in GDF8 (MSTN) and analyzed for growth and carcass traits.
    Analysis:The general linear model and mixed model procedures were used.
    Software:SAS
    Notes: 
    Links:Edit

     Reference
    Authors:Johnson PL, Dodds KG, Bain WE, Greer GJ, McLean NJ, McLaren RJ, Galloway SM, van Stijn TC, McEwan JC
    Affiliation:AgResearch Invermay, Puddle Alley, Private Bag 50034, Mosgiel, New Zealand
    Title:Investigations into the GDF8 g+6723G-A polymorphism in New Zealand Texel sheep
    Journal:J Anim Sci, 2009, 87(6): 1856-64
    Links:  PubMed  |  Abstract   |  List all data   |  Edit  
    User inputs on reference #19251921
  • Add your comments
  • Note similar findings
  • Note contradictions
  • Cite this Data:

    Animal QTLdb: QTL13804 was published in 2009, and was curated into QTLdb on 2011-09-01. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:13804

     

    © 2003-2025: USA · USDA · NRPSP8 · Program to Accelerate Animal Genomics Applications. Contact: Bioinformatics Team