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 fertility traits:2
Number of QTL / associations found:84
Number of chromosomes where QTL / associations are found:20

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

Chromosomes Total χ2 df p-values FDR * Size of χ2
Chromosome 12.30476190.99999889.999988e-01
Chromosome 24.87620190.99952649.999988e-01
Chromosome 32.30476190.99999889.999988e-01
Chromosome 436.87620190.0082226275.481751e-02
Chromosome 50.68572190.9983293258231159.999988e-01
Chromosome 655.54286191.91874e-051.918740e-04
Chromosome 70.68572190.9983293258231159.999988e-01
Chromosome 80.01904190.9983293258231159.999988e-01
Chromosome 92.30476190.99999889.999988e-01
Chromosome 102.30476190.99999889.999988e-01
Chromosome 13104.30476198.833983e-141.766797e-12
Chromosome 144.87620190.99952649.999988e-01
Chromosome 154.87620190.99952649.999988e-01
Chromosome 170.30476190.9983293258231159.999988e-01
Chromosome 180.68572190.9983293258231159.999988e-01
Chromosome 202.30476190.99999889.999988e-01
Chromosome 222.30476190.99999889.999988e-01
Chromosome 232.30476190.99999889.999988e-01
Chromosome 244.87620190.99952649.999988e-01
Chromosome 254.87620190.99952649.999988e-01

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

Traits Total χ2 df p-values FDR * Size of χ2
female fertility 35.43867 1 2.63209e-09 5.264180e-09
male fertility 17.71932 1 2.560132e-05 2.560132e-05

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.:20 χ2=239.619100
Number of traits:2 df=19
Number of QTLs:84 p-value=3.88691e-40

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.

 

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