Release 56
(Apr 24, 2025)

Whole genome analysis for QTL/association enrichment

Running...
Version: Enrich S: beta v0.8
Search: to limit the list of your trait choices:
(optional) focus on chromosome with Mb windows across its length

Data:

Number of conductivity & impedance traits:2
Number of QTL / associations found:423
Number of chromosomes where QTL / associations are found:19

Chi-squared (χ2) test: are conductivity & impedance traits over-represented on some chromosomes?

Chromosomes Total χ2 df p-values FDR * Size of χ2
Chromosome X40.61616180.0017192641.088867e-02
Chromosome 15.37738180.9981399.999752e-01
Chromosome 20.27100180.9983293258231159.999752e-01
Chromosome 318.27572180.43763288.315023e-01
Chromosome 46.13388180.99562379.999752e-01
Chromosome 59.46248180.94804779.999752e-01
Chromosome 61679.63270189e-411.710000e-39
Chromosome 77.70834180.98266929.999752e-01
Chromosome 8196.22844185.680567e-325.396539e-31
Chromosome 94.73908180.99921089.999752e-01
Chromosome 1029.96366180.03780131.197041e-01
Chromosome 1115.80292180.60629949.999752e-01
Chromosome 1236.88566180.0054231692.060804e-02
Chromosome 137.70834180.98266929.999752e-01
Chromosome 1418.27572180.43763288.315023e-01
Chromosome 152.95658180.99997529.999752e-01
Chromosome 1620.92820180.28305096.722459e-01
Chromosome 1726.77218180.08336882.262867e-01
Chromosome 1836.88566180.0054231692.060804e-02

Chi-squared (χ2) test: Which of the 2 conductivity & impedance traits are over-represented in the QTLdb

Traits Total χ2 df p-values FDR * Size of χ2
Muscle conductivity 6.08008 1 0.01367146 1.367146e-02
Muscle impedance 49.83023 1 1.676411e-12 3.352822e-12

Correlations found between some of these traits for your reference

No correlation data found on these traits

Overall Test

Data Chi'Square Test Fisher's Exact Test
Number of chrom.:19 χ2=2164.624100
Number of traits:2 df=18
Number of QTLs:423 p-value=0

FOOT NOTE: * : FDR is short for "false discovery rate", representing the expected proportion of type I errors. A type I error is where you incorrectly reject the null hypothesis, i.e. you get a false positive. It's statistical definition is FDR = E(V/R | R > 0) P(R > 0), where V = Number of Type I errors (false positives); R = Number of rejected hypotheses. Benjamini–Hochberg procedure is a practical way to estimate FDR.

 

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