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 conformation traits:7
Number of QTL / associations found:32
Number of chromosomes where QTL / associations are found:13

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

Chromosomes Total χ2 df p-values FDR * Size of χ2
Chromosome 135.60578120.00037478870.002436127
Chromosome 26.07453120.91227850.999999200
Chromosome 36.07453120.91227850.999999200
Chromosome 46.73078120.874880.999999200
Chromosome 535.60578120.00037478870.002436127
Chromosome 66.07453120.91227850.999999200
Chromosome 70.60578120.99999920.999999200
Chromosome 818.32453120.10618610.460139767
Chromosome 96.07453120.91227850.999999200
Chromosome 126.07453120.91227850.999999200
Chromosome 150.60578120.99999920.999999200
Chromosome 176.07453120.91227850.999999200
Chromosome 276.07453120.91227850.999999200

Chi-squared (χ2) test: Which of the 7 conformation traits are over-represented in the QTLdb

Traits Total χ2 df p-values FDR * Size of χ2
Body condition score 19.05714 6 0.004068213 0.0094924970
Conformation score 12.88889 6 0.04483471 0.0627685940
Crooked digits 2.68889 6 0.8467578 0.8467578000
Leg bowing 20.11112 6 0.002646038 0.0092611330
Leg twisting 15.26667 6 0.018281 0.0319917500
Polydactyly 31 6 2.534928e-05 0.0001774450
Tibial dyschondroplasia 4.33333 6 0.6316652 0.7369427333

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.:13 χ2=140.000140
Number of traits:7 df=72
Number of QTLs:32 p-value=2.841222e-06

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