Release 56
(Apr 24, 2025)

QTL 161538 Description:

 Trait Information
Trait name: Somatic cell count Vertebrate Trait Ontology: Milk somatic cell quantity
Reported name: (n/a) Product Trait Ontology: Milk somatic cell count
Symbol: SCC Clinical Measurement Ontology: Milk somatic cell count
 QTL Map Information
Chromosome:6
QTL Peak Location:95.92 (cM)
QTL Span:95.92-95.92 (cM)
86.9-86.9 (Mbp)
Upper, "Suggestive":n/a
Upper, "Significant":n/a
Peak:rs110527224
Lower, "Significant":n/a
Lower, "Suggestive":n/a
Marker type:SNP
Analysis type:Association
Model tested:Mendelian
Test base:Genome-wise
Threshold significance level:Significant
P_values0.0018
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 #161538
  • Add your annotations
  • Add your comments
  • Report problems
  •  QTL Experiment in Brief
    Animals:Animals were Holstein cows.
     Breeds associated:
    Design:Animals were genotyped for 9 SNPs on 2 chromosomes and analyzed for somatic cell count.
    Analysis:A likelihood-based score test was used.
    Software:GenABEL in R
    Notes: 
    Links:Edit

     Reference
    Authors:Biffani S, Del Corvo M, Capoferri R, Pedretti A, Luini M, Williams J L, Pagnacco G, Minvielle F, Minozzi G
    Affiliation:Parco Tecnologico Padano Srl,Via Einstein, 26900, Lodi, Italy
    Title:An alternative experimental case-control design for genetic association studies on bovine mastitis
    Journal:Animal : an international journal of animal bioscience, 2017, 11(4): 574-579
    Links:  PubMed  |  Abstract   |  List all data   |  Edit  
    User inputs on reference #27534682
  • Add your comments
  • Note similar findings
  • Note contradictions
  • Cite this Data:

    Animal QTLdb: QTL161538 was published in 2017, and was curated into QTLdb on 2018-10-09. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:161538

     

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