Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of coat characteristics traits:
4
Number of QTL / associations found:
118
Number of chromosomes where QTL / associations are found:
9
Chi-squared (χ2) test: are coat characteristics traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
31.19020
8
0.0001299618
1.670937e-04
Chromosome 2
37.66480
8
8.681156e-06
1.302173e-05
Chromosome 4
44.74952
8
4.104886e-07
1.231466e-06
Chromosome 6
44.74952
8
4.104886e-07
1.231466e-06
Chromosome 7
37.66480
8
8.681156e-06
1.302173e-05
Chromosome 8
2198.47836
8
9e-41
8.100000e-40
Chromosome 11
37.66480
8
8.681156e-06
1.302173e-05
Chromosome 15
25.32580
8
0.001368702
1.539790e-03
Chromosome 17
20.07156
8
0.01006868
1.006868e-02
Chi-squared (χ2) test: Which of the 4 coat characteristics traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Coat color
16.99999
3
0.0007067457
7.067457e-04
Hair amount
87.94
3
6.06683e-19
1.213366e-18
Number of hair whorls
63.85
3
8.837266e-14
1.178302e-13
Spotted coat
115
3
9.20629e-25
3.682516e-24
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.:
9
χ2
=
2477.559360
Number of traits:
4
df
=
24
Number of QTLs:
118
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.