Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
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 1
35.60578
12
0.0003747887
0.002436127
Chromosome 2
6.07453
12
0.9122785
0.999999200
Chromosome 3
6.07453
12
0.9122785
0.999999200
Chromosome 4
6.73078
12
0.87488
0.999999200
Chromosome 5
35.60578
12
0.0003747887
0.002436127
Chromosome 6
6.07453
12
0.9122785
0.999999200
Chromosome 7
0.60578
12
0.9999992
0.999999200
Chromosome 8
18.32453
12
0.1061861
0.460139767
Chromosome 9
6.07453
12
0.9122785
0.999999200
Chromosome 12
6.07453
12
0.9122785
0.999999200
Chromosome 15
0.60578
12
0.9999992
0.999999200
Chromosome 17
6.07453
12
0.9122785
0.999999200
Chromosome 27
6.07453
12
0.9122785
0.999999200
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.