Release 57
(Aug 26, 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 milk production & yield traits:2
Number of QTL / associations found:84
Number of chromosomes where QTL / associations are found:19

Chi-squared (χ2) test: are milk production & yield traits over-represented on some chromosomes?

Chromosomes Total χ2 df p-values FDR * Size of χ2
Chromosome 20.15162180.9983293258231159.999893e-01
Chromosome 32.65162180.99998939.999893e-01
Chromosome 42.65162180.99998939.999893e-01
Chromosome 52.65162180.99998939.999893e-01
Chromosome 650.62782186.062914e-055.759768e-04
Chromosome 75.29448180.99832229.999893e-01
Chromosome 89.48496180.94742829.999893e-01
Chromosome 115.29448180.99832229.999893e-01
Chromosome 125.29448180.99832229.999893e-01
Chromosome 142.65162180.99998939.999893e-01
Chromosome 155.29448180.99832229.999893e-01
Chromosome 165.29448180.99832229.999893e-01
Chromosome 170.91354180.9983293258231159.999893e-01
Chromosome 19295.98496183.221362e-526.120588e-51
Chromosome 215.29448180.99832229.999893e-01
Chromosome 232.65162180.99998939.999893e-01
Chromosome 255.29448180.99832229.999893e-01
Chromosome 265.29448180.99832229.999893e-01
Chromosome 290.08020180.9983293258231159.999893e-01

Chi-squared (χ2) test: Which of the 2 milk production & yield traits are over-represented in the QTLdb

Traits Total χ2 df p-values FDR * Size of χ2
Lactation length 66.99997 1 2.715113e-16 5.430226e-16
Milk yield 2.48148 1 0.1151938 1.151938e-01

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=412.857040
Number of traits:2 df=18
Number of QTLs:84 p-value=1.900852e-76

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