QTL #10912 Description:

 Trait Information
Trait name: Body weight (mature) Vertebrate Trait Ontology: Body mass
Reported name: Product Trait Ontology: n/a
Symbol: MWT Clinical Measurement Ontology: Body weight
 QTL Map Information
Chromosome:11
QTL Peak Location:122.3 (cM)
QTL Span:109.4-122.3 (cM)
70.1-80.9 (Mbp)
Upper, "Suggestive":n/a
Upper, "Significant":BMS460
Peak:HEL13
Lower, "Significant":HEL13
Lower, "Suggestive":n/a
Marker type:Microsatellite
Analysis type:QTL
Model tested:Mendelian
Test base:Chromosome-wise
Threshold significance level:Significant
P_values0.000218776162
Bayes_value1
Dominance effect:0.1351
Additive effect:n/a
Associated Gene:n/a
Links:   NCBI GeneDB  |  Edit  |   Map view

 Extended information:
(none)

User inputs on QTL #10912
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:Twenty-nine generations of commercial American Angus.
     Breeds associated:
    Design:Genome scan with 402 markers at 8 cM intervals on 14 cattle production traits using 3391 animals from 48 half-sib families.
    Analysis:General pedigrees based genetic model analysis using least squares regression and Bayesian Markov chain Monte Carlo analysis.
    Software:GridQTL, LOKI
    Notes:Not a cross based segregation analysis
    Links:Edit
     Reference
    Authors:McClure MC, Morsci NS, Schnabel RD, Kim JW, Yao P, Rolf MM, McKay SD, Gregg SJ, Chapple RH, Northcutt SL, Taylor JF.
    Affiliation:Division of Animal Sciences, University of Missouri, Columbia
    Title:A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle.
    Journal:Animal Genetics, 2010, 41 (6): 597-607
    Links:  PubMed  |  Abstract   |  List all QTL   |  Edit  

     Additional Information
    Comments:SNP scan
    User inputs on reference #20477797
  • Add your comments
  • Note similar findings
  • Note contradictions

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