Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of digestive system traits:
4
Number of QTL / associations found:
26
Number of chromosomes where QTL / associations are found:
11
Chi-squared (χ2) test: are digestive system traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 2
0.68532
10
0.9999704
0.9999999
Chromosome 3
3.14684
10
0.977754
0.9999999
Chromosome 4
11.76224
10
0.3012841
0.9999999
Chromosome 5
0.22376
10
0.9999999
0.9999999
Chromosome 7
0.22376
10
0.9999999
0.9999999
Chromosome 8
11.76224
10
0.3012841
0.9999999
Chromosome 12
0.22376
10
0.9999999
0.9999999
Chromosome 13
0.22376
10
0.9999999
0.9999999
Chromosome 14
0.22376
10
0.9999999
0.9999999
Chromosome 16
3.14684
10
0.977754
0.9999999
Chromosome 17
3.14684
10
0.977754
0.9999999
Chi-squared (χ2) test: Which of the 4 digestive system traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Large intestine weight
4.19998
3
0.2406639
0.32088520
Small intestine length
2.01332
3
0.5696467
0.56964670
Small intestine weight
4.19998
3
0.2406639
0.32088520
Stomach weight
9.86667
3
0.01973416
0.07893664
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.:
11
χ2
=
34.769120
Number of traits:
4
df
=
30
Number of QTLs:
26
p-value
=
0.2511382
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.