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 24 Description:

 Trait Information
Trait name: Subcutaneous fat thickness Vertebrate Trait Ontology: Subcutaneous adipose thickness
Trait details: backfat depth at 10th rib Product Trait Ontology: n/a
Symbol: 10RIBBFT Clinical Measurement Ontology: n/a
 QTL Map Information
Chromosome:7
QTL Peak Location:48.2 (cM)
QTL Span:32.9-70.1 (cM)
12.3-45.1 (Mbp)
Upper, "Suggestive":SWR1078
Upper, "Significant":n/a
Peak:SW1369
Lower, "Significant":n/a
Lower, "Suggestive":S0102
Marker type:Microsatellites
Analysis type:QTL
Model tested:n/a
Test base:n/a
Threshold significance level:n/a
F_Stat8.58
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 #24
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  •  QTL Experiment in Brief
    Animals:Three generation reciprocal back-cross of Meishan x White composite.
     Breeds associated:
    n/a
    Design:Genome wide scan with 156 marker at 20 cM interval on 540 reciprocal back-cross pigs.
    Analysis:Least square regression. Critical F ratio: suggestive=606; significant=10.15.
    Software: 
    Notes: 
    Links:Edit

     Reference
    Authors:Rohrer GA, Keele JW.
    Affiliation:U.S. Meat Animal Research Center, USDA, ARS, Clay Center, NE 68933, USA.
    Title:Identification of quantitative trait loci affecting carcass composition inswine: I. Fat deposition traits.
    Journal:J Anim Sci, 1998, Sep;76(9):2247-54.
    Links:  PubMed  |  Abstract   |  List all data   |  Edit  
    User inputs on reference #9781479
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  • Cite this Data:

    Animal QTLdb: QTL24 was published in 1998, and was curated into QTLdb on 2003-12-20. DBxREF link to this data: https://www.animalgenome.org/QTLdb/q?id=QTL_ID:24

     

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