Release 56
(Apr 24, 2025)

QTL 70764 Description:

 Trait Information
Trait name: Milk potassium content Vertebrate Trait Ontology: Milk potassium amount
Reported name: (n/a) Product Trait Ontology: Milk potassium content
Symbol: MK Clinical Measurement Ontology: n/a
 QTL Map Information
Chromosome:27
QTL Peak Location:32.80 (cM)
QTL Span:32.80-32.80 (cM)
19.9-19.9 (Mbp)
Upper, "Suggestive":n/a
Upper, "Significant":n/a
Peak:rs109928360
Lower, "Significant":n/a
Lower, "Suggestive":n/a
Marker type:SNP
Analysis type:Association
Model tested:Mendelian
Test base:Experiment-wise
Threshold significance level:Suggestive
P_values6.85E-02
Dominance effect:n/a
Additive effect:n/a
Associated Gene:n/a
Cis/Trans acting type:
Links:   Edit  |   Map view

 Extended information:
(none)

User inputs on QTL #70764
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:Animals were Danish Holstein and Danish Jersey cows.
     Breeds associated:
    Design:Animals were genotyped using the Illumina BovineHD BeadChip and analyzed for milk mineral content. A total of 494,984 SNPs were used for analysis.
    Analysis:A linear model was used.
    Software:DMU, Haploview
    Notes: 
    Links:Edit

     Reference
    Authors:Buitenhuis Bart, Poulsen Nina A, Larsen Lotte B, Sehested Jakob
    Affiliation:Aarhus University, Department of Animal Science, Blichers Allé 20, P.O. Box 50, DK-8830, Tjele, Denmark
    Title:Estimation of genetic parameters and detection of quantitative trait loci for minerals in Danish Holstein and Danish Jersey milk
    Journal:BMC genetics, 2015, 16: 52
    Links:  PubMed  |  Abstract   |  List all data   |  Edit  
    User inputs on reference #25989905
  • Add your comments
  • Note similar findings
  • Note contradictions
  • Cite this Data:

    Animal QTLdb: QTL70764 was published in 2015, and was curated into QTLdb on 2016-03-07. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:70764

     

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