Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of immune capacity traits:
5
Number of QTL / associations found:
8
Number of chromosomes where QTL / associations are found:
6
Chi-squared (χ2) test: are immune capacity traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 2
0.41665
5
0.9948586
0.9948586
Chromosome 14
0.41665
5
0.9948586
0.9948586
Chromosome 19
1.66665
5
0.8930742
0.9948586
Chromosome 27
0.41665
5
0.9948586
0.9948586
Chromosome 28
0.41665
5
0.9948586
0.9948586
Chromosome 29
1.66665
5
0.8930742
0.9948586
Chi-squared (χ2) test: Which of the 5 immune capacity traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Eosinophil number
4
4
0.4060058
0.6747076
Lymphocyte number
7
4
0.1358882
0.3397205
Monocyte number
3
4
0.5578254
0.6747076
Neutrophil number
2.33333
4
0.6747076
0.6747076
White blood cell number
7
4
0.1358882
0.3397205
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.:
6
χ2
=
4.999900
Number of traits:
5
df
=
20
Number of QTLs:
8
p-value
=
0.9997227
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...
