Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of mastitis traits:
4
Number of QTL / associations found:
142
Number of chromosomes where QTL / associations are found:
21
Chi-squared (χ2) test: are mastitis traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
6.20256
20
0.9985949
9.998765e-01
Chromosome 2
137.35748
20
1.602457e-19
1.682580e-18
Chromosome 3
0.03352
20
0.998329325823115
9.998765e-01
Chromosome 5
10.62508
20
0.955372
9.998765e-01
Chromosome 6
4.51240
20
0.9998765
9.998765e-01
Chromosome 7
13.41380
20
0.8589324
9.998765e-01
Chromosome 8
8.37156
20
0.98911
9.998765e-01
Chromosome 9
8.37156
20
0.98911
9.998765e-01
Chromosome 10
13.41380
20
0.8589324
9.998765e-01
Chromosome 11
19.63916
20
0.4806957
9.998765e-01
Chromosome 12
19.63916
20
0.4806957
9.998765e-01
Chromosome 13
19.63916
20
0.4806957
9.998765e-01
Chromosome 14
13.41380
20
0.8589324
9.998765e-01
Chromosome 16
40.14620
20
0.004787047
3.350933e-02
Chromosome 17
4.51240
20
0.9998765
9.998765e-01
Chromosome 18
19.63916
20
0.4806957
9.998765e-01
Chromosome 19
653.52648
20
1.475553e-125
3.098661e-124
Chromosome 20
0.03352
20
0.998329325823115
9.998765e-01
Chromosome 22
19.63916
20
0.4806957
9.998765e-01
Chromosome 23
19.63916
20
0.4806957
9.998765e-01
Chromosome 25
4.51240
20
0.9998765
9.998765e-01
Chi-squared (χ2) test: Which of the 4 mastitis traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Clinical mastitis
40.53028
3
8.224995e-09
1.644999e-08
Milk bacterial count
30.31883
3
1.182553e-06
1.576737e-06
Somatic cell score
46.28396
3
4.935346e-10
1.974138e-09
somatic cell count
21.04024
3
0.0001032697
1.032697e-04
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.:
21
χ2
=
1036.281520
Number of traits:
4
df
=
60
Number of QTLs:
142
p-value
=
5.912004e-178
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.
Running...
