Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of blood parameters traits:
7
Number of QTL / associations found:
25
Number of chromosomes where QTL / associations are found:
8
Chi-squared (χ2) test: are blood parameters traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
10.11500
7
0.1821497
2.428663e-01
Chromosome 5
10.11500
7
0.1821497
2.428663e-01
Chromosome 10
2.83500
7
0.899835
8.998350e-01
Chromosome 13
2.83500
7
0.899835
8.998350e-01
Chromosome 19
10.11500
7
0.1821497
2.428663e-01
Chromosome 21
371.31500
7
3.357632e-76
2.686106e-75
Chromosome 26
10.11500
7
0.1821497
2.428663e-01
Chromosome 28
10.11500
7
0.1821497
2.428663e-01
Chi-squared (χ2) test: Which of the 7 blood parameters traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Hematocrit
7.8125
6
0.2521644
0.58838360
Hemoglobin
11.28125
6
0.0800634
0.28022190
Mean corpuscular hemoglobin concentration
5
6
0.5438131
0.72389287
Mean corpuscular hemoglobin content
4.41667
6
0.6204796
0.72389287
Mean corpuscular volume
1.6875
6
0.9460822
0.94608220
Red blood cell distribution width
23
6
0.0007964786
0.00557535
Red blood cell number
5.03125
6
0.5398114
0.72389287
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.:
8
χ2
=
427.560000
Number of traits:
7
df
=
42
Number of QTLs:
25
p-value
=
2.583283e-65
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.