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:
153
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
4.04480
20
0.999949
9.999490e-01
Chromosome 2
172.28012
20
3.120454e-26
3.276477e-25
Chromosome 3
17.92716
20
0.5922067
9.999490e-01
Chromosome 5
7.57424
20
0.9943308
9.999490e-01
Chromosome 6
5.92716
20
0.9989923
9.999490e-01
Chromosome 7
15.33892
20
0.7566972
9.999490e-01
Chromosome 8
10.08404
20
0.9666223
9.999490e-01
Chromosome 9
10.08404
20
0.9666223
9.999490e-01
Chromosome 10
15.33892
20
0.7566972
9.999490e-01
Chromosome 11
21.69188
20
0.3574614
8.340766e-01
Chromosome 12
21.69188
20
0.3574614
8.340766e-01
Chromosome 13
21.69188
20
0.3574614
8.340766e-01
Chromosome 14
15.33892
20
0.7566972
9.999490e-01
Chromosome 16
41.69188
20
0.003032843
2.122990e-02
Chromosome 17
5.92716
20
0.9989923
9.999490e-01
Chromosome 18
21.69188
20
0.3574614
8.340766e-01
Chromosome 19
624.04480
20
2.460204e-119
5.166428e-118
Chromosome 20
0.04480
20
0.998329325823115
9.999490e-01
Chromosome 22
21.69188
20
0.3574614
8.340766e-01
Chromosome 23
21.69188
20
0.3574614
8.340766e-01
Chromosome 25
5.92716
20
0.9989923
9.999490e-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
34.39345
3
1.636262e-07
3.272524e-07
Milk bacterial count
28.42382
3
2.959179e-06
3.945572e-06
Somatic cell score
45.19252
3
8.42077e-10
3.368308e-09
somatic cell count
22.48874
3
5.160804e-05
5.160804e-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.:
21
χ2
=
1081.725400
Number of traits:
4
df
=
60
Number of QTLs:
153
p-value
=
2.7745e-187
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...
