QTL #14289 Description:

 Trait Information
Trait name: Muscle weight in carcass Vertebrate Trait Ontology: n/a
Reported name: muscle weight in carcass Product Trait Ontology: Dressed carcass muscle weight
Symbol: MUSWT Clinical Measurement Ontology: n/a
 QTL Map Information
Chromosome:9
QTL Peak Location:92.3 (cM)
QTL Span:3.9-117.5 (cM)
86.8-86.8 (Mbp)
Upper, "Suggestive":n/a
Upper, "Significant":n/a
Peak:
Lower, "Significant":n/a
Lower, "Suggestive":n/a
Marker type:
Analysis type:QTL
Model tested:Mendelian
Test base:Chromosome-wise
Threshold significance level:Significant
F_Stat8.5
P_values<0.05
Dominance effect:n/a
Additive effect:n/a
Associated Gene:n/a
Links:   NCBI GeneDB  |  Edit  |   Map view

 Extended information:
(none)

User inputs on QTL #14289
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:Animals were (Awassi x Merino) x Merino sheep.
     Breeds associated:
    Design:A single-sire backcross family was used. Animals were genotyped for 189 microsatellite markers and analyzed for carcass composition traits.
    Analysis:Both a maximum likelihood approach and regression analysis were used.
    Software:R software, QTL Express
    Notes: 
    Links:Edit
     Reference
    Authors:Cavanagh CR, Jonas E, Hobbs M, Thomson PC, Tammen I, Raadsma HW
    Affiliation:ReproGen - Animal Bioscience Group, Faculty of Veterinary Science, University of Sydney, 425 Werombi Road, Camden NSW 2570, Australia
    Title:Mapping Quantitative Trait Loci (QTL) in sheep. III. QTL for carcass composition traits derived from CT scans and aligned with a meta-assembly for sheep and cattle carcass QTL
    Journal:Genet Sel Evol., 2010, 42:36
    Links:  PubMed  |  Abstract   |  List all QTL   |  Edit  

     Additional Information
    Comments:Regression analysis
    User inputs on reference #20846385
  • Add your comments
  • Note similar findings
  • Note contradictions

  • Web Access Statistics © 2003-2020 NAGRP - Bioinformatics Coordination Program.
    Contact: NAGRP Bioinformatics Team
    Helpdesk