Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of lifetime production traits:
3
Number of QTL / associations found:
48
Number of chromosomes where QTL / associations are found:
13
Chi-squared (χ2) test: are lifetime production traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome X
86.32692
12
2.528181e-13
3.286635e-12
Chromosome 1
22.88943
12
0.02867945
1.864164e-01
Chromosome 2
1.38942
12
0.9999136
9.999136e-01
Chromosome 5
2.32692
12
0.9987151
9.999136e-01
Chromosome 8
5.88942
12
0.9215533
9.999136e-01
Chromosome 9
0.07692
12
0.998329325823115
9.999136e-01
Chromosome 11
5.88942
12
0.9215533
9.999136e-01
Chromosome 12
0.38943
12
0.998329325823115
9.999136e-01
Chromosome 13
5.88942
12
0.9215533
9.999136e-01
Chromosome 14
0.07692
12
0.998329325823115
9.999136e-01
Chromosome 16
2.32692
12
0.9987151
9.999136e-01
Chromosome 17
5.88942
12
0.9215533
9.999136e-01
Chromosome 18
5.88942
12
0.9215533
9.999136e-01
Chi-squared (χ2) test: Which of the 3 lifetime production traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Number of non-productive days
17.69842
2
0.0001434951
0.0001434951
Ratio of lifetime nonproductive days to herd life
19.92858
2
4.705046e-05
0.0001411514
Removal parity
18.08332
2
0.0001183742
0.0001434951
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
=
145.249980
Number of traits:
3
df
=
24
Number of QTLs:
48
p-value
=
2.513490e-19
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.