Release 55
(Dec 23, 2024)

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:31
Number of QTL / associations found:1,359
Number of chromosomes where QTL / associations are found:19

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

Chromosomes Total χ2 df p-values FDR * Size of χ2
Chromosome X1241.73972181.269852e-2522.412719e-251
Chromosome 1457.04509181.084518e-854.121168e-85
Chromosome 2133.13043181.337166e-191.814725e-19
Chromosome 3304.96467184.583950e-549.677228e-54
Chromosome 448.02303180.00014938051.576794e-04
Chromosome 5402.48137182.779790e-747.545144e-74
Chromosome 6103.77281184.486847e-145.014711e-14
Chromosome 715070.61373189e-411.425000e-40
Chromosome 8260.71155185.370388e-459.276125e-45
Chromosome 9103.77281184.486847e-145.014711e-14
Chromosome 10643.29588185.949815e-1253.768216e-124
Chromosome 11430.76701183.44088e-801.089612e-79
Chromosome 12260.71155185.370388e-459.276125e-45
Chromosome 13304.96467184.583950e-549.677228e-54
Chromosome 14117.61896181.179346e-161.493838e-16
Chromosome 15677.12432184.038896e-1323.836951e-131
Chromosome 1638.89849180.0029404322.940432e-03
Chromosome 17487.15539185.218817e-922.478938e-91
Chromosome 18181.67178184.472592e-296.536865e-29

Chi-squared (χ2) test: Which of the 31 conformation traits are over-represented in the QTLdb

Traits Total χ2 df p-values FDR * Size of χ2
Body condition score 39.72897 30 0.1102213 2.135538e-01
Cannon bone circumference 265.20473 30 1.717386e-39 2.661948e-38
Cervical vertebra length 89.34569 30 8.249497e-08 3.653349e-07
Conformation score 31.03183 30 0.4138435 5.937272e-01
Ear area 375.20134 30 2.782409e-61 8.625468e-60
Ear erectness 24.9713 30 0.7264255 8.635814e-01
Ear size 19.58949 30 0.9267936 9.576867e-01
Ear weight 30.87937 30 0.4213548 5.937272e-01
Facial morphology 55.47676 30 0.00313384 7.473003e-03
Feet and leg conformation 50.99395 30 0.009755201 2.160080e-02
Femur dimensions 34.76317 30 0.2513598 4.101134e-01
Front feet conformation 31.21275 30 0.4050024 5.937272e-01
Front foot size 20.22247 30 0.9106196 9.576867e-01
Front leg conformation 55.81957 30 0.002863579 7.397579e-03
Gait score (front) 13.56058 30 0.995679 9.956790e-01
Gait score (hind) 19.91996 30 0.918609 9.576867e-01
Gait score (overall) 65.08424 30 0.0002139709 6.633098e-04
Hind feet conformation 35.55608 30 0.2229702 4.065927e-01
Hind foot size 24.43171 30 0.7521515 8.635814e-01
Hind leg conformation 129.86689 30 2.173445e-14 1.684420e-13
Hip structure 86.38165 30 2.297261e-07 8.901886e-07
Leg conformation (overall) 29.20001 30 0.5071085 6.550151e-01
Lumbar vertebra length 34.76317 30 0.2513598 4.101134e-01
Lumbar vertebra number 90.07987 30 6.386731e-08 3.299811e-07
Rib shape 29.92551 30 0.4694736 6.327688e-01
Thoracic vertebra length 104.28949 30 3.856969e-10 2.391321e-09
Thoracic vertebra number 158.26855 30 2.250567e-19 2.325586e-18
Thoracolumbar vertebra number 44.21497 30 0.04559457 9.422878e-02
Top line conformation 57.8484 30 0.001664041 4.689570e-03
Vertebra distance 27.91491 30 0.5749459 7.129329e-01
Vertebra number 78.05114 30 3.751727e-06 1.292262e-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.:19 χ2=21268.463260
Number of traits:31 df=540
Number of QTLs:1,359 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