Release 56
(Apr 24, 2025)

This linkage-map based data has been obsolete
(see Release notes 51, 52, 53). Information
provided here is only for retrospective online
support of publications that used this data.

QTL 354 Description:

 Trait Information
Trait name: Subcutaneous fat thickness Vertebrate Trait Ontology: Subcutaneous adipose thickness
Trait details: ultrasonic backfat thickness Product Trait Ontology: n/a
Symbol: BFT Clinical Measurement Ontology: n/a
 QTL Map Information
Chromosome:14
QTL Peak Location:30 (cM)
QTL Span:7.4-35.7 (cM)
6.9-41.2 (Mbp)
Upper, "Suggestive":SW857
Upper, "Significant":n/a
Peak:
Lower, "Significant":n/a
Lower, "Suggestive":SW295
Marker type:Microsatellites
Analysis type:QTL
Model tested:Maternally imprinted
Test base:-
Threshold significance level:-
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 #354
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  •  QTL Experiment in Brief
    Animals:Chinese Meishan and Dutch Large White were used to produce the resource pupolation.
     Breeds associated:
    n/a
    Design:Six growth traits measured and 132 markers genotyped for QTL analysis.
    Analysis:Regression interval mapping under different models.
    Software: 
    Notes: 
    Links:Edit

     Reference
    Authors:D. J. de Koning, A. P. Rattink, B. Harlizius, M. A. M. Groenen, E. W. Brascamp and J. A. M. van Arendonk
    Affiliation:
    Title:Detection and characterization of quantitative trait loci for growth and reproduction traits in pigs
    Journal:Livestock Production Science, 2001, 72(3):185-198
    Links:  No PubMed entry  |  Abstract   |  List all data   |  Edit  
    User inputs on reference #ISU0002
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  • Cite this Data:

    Animal QTLdb: QTL354 was published in 2001, and was curated into QTLdb on 2003-12-20. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:354

     

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