Release 56
(Apr 24, 2025)

QTL 16732 Description:

 Trait Information
Trait name: Albumen weight Vertebrate Trait Ontology: n/a
Reported name: Albumen weight Product Trait Ontology: Egg albumen weight
Symbol: AW Clinical Measurement Ontology: Egg albumen weight, fowl
 QTL Map Information
Chromosome:7
QTL Peak Location:83 (cM)
QTL Span:0.00-100.00 (cM)
Upper, "Suggestive":n/a
Upper, "Significant":n/a
Peak:
Lower, "Significant":n/a
Lower, "Suggestive":n/a
Marker type:
Analysis type:Association
Model tested:Mendelian
Test base:n/a
Threshold significance level:Significant
P_values<0.01
Dominance effect:n/a
Additive effect:n/a
Associated Gene:LRP2 (low density lipoprotein receptor-related protein 2)
Cis/Trans acting type:
Links:   NCBI GeneDB  |  Edit  |   Map view

 Extended information:
(none)

User inputs on QTL #16732
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:Birds were pureline dwarf layer chickens.
     Breeds associated:
    n/a
    Design:Birds were genotyped for one SNP in LRP2 and analyzed for egg quality traits.
    Analysis:The general linear model procedure was used.
    Software:SAS
    Notes: 
    Links:Edit

     Reference
    Authors:Zhang Y, Hou ZC, Chen ZX, Zheng JX, Chen SR, Qu LJ, Li JY, Xu GY, Yang N
    Affiliation:China Agricultural University, Beijing, China
    Title:Low-density lipoprotein receptor-related protein 2 gene is associated with egg-quality traits in dwarf layers
    Journal:Poultry Sci, 2011, 90(12):2718-22
    Links:  PubMed  |  Abstract   |  List all data   |  Edit  

     Additional Information
    Comments:T14347C
    User inputs on reference #22080009
  • Add your comments
  • Note similar findings
  • Note contradictions
  • Cite this Data:

    Animal QTLdb: QTL16732 was published in 2011, and was curated into QTLdb on 2012-04-17. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:16732

     

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