QTL #1758 Description:

 Trait Information
Trait name: Twinning Vertebrate Trait Ontology: Single birth offspring quantity
Reported name: Product Trait Ontology: n/a
Symbol: TWIN Clinical Measurement Ontology: n/a
 QTL Map Information
QTL Peak Location:70 (cM)
QTL Span:66.20-74.20 (cM)
34.2-36.2 (Mbp)
Upper, "Suggestive":n/a
Upper, "Significant":BMS490
Lower, "Significant":CSSM22
Lower, "Suggestive":n/a
Analysis type:QTL
Model tested:n/a
Test base:n/a
Threshold significance level:n/a
Dominance effect:n/a
Additive effect:0.9
Associated Gene:n/a
Links:   NCBI GeneDB  |  Edit  |   Map view

 Extended information:

User inputs on QTL #1758
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:The study utilized a granddaughter design: sires and sons were genotyped; granddaughters provided the phenotypes. All animals used in this study were registered Holstein bulls, most from United States and the remaining from Canada.
     Breeds associated:
    Design:Over 1.3 million calvings and a threshold model to calculate sires' predicted transmitting ability values were used for twinning rate using data from the National Association of Animal Breeders.
    Analysis:Bovine microsatellite markers were selected based upon their locations on chromosomes 5,7,19, and 23, and estimated hterozygosity. Within half-sib family statistical analysis for all traits was performed.
    Software:QTL Express, Cri-Map, Genescan, and Genotyper
    Authors:Cruickshank J, Dentine MR, Berger PJ, Kirkpatrick BW.
    Affiliation:Dairy Science Department, University of Wisconsin-Madison, Madison, WI, USA.
    Title:Evidence for quantitative trait loci affecting twinning rate in North AmericanHolstein cattle.
    Journal:Animal Genetics, 2004, 35(3):206-12.
    Links:  PubMed  |  Abstract   |  List all QTL   |  Edit  
    User inputs on reference #15147392
  • Add your comments
  • Note similar findings
  • Note contradictions

  • Web Access Statistics © 2003-2019 NAGRP - Bioinformatics Coordination Program.
    Contact: NAGRP Bioinformatics Team