Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of pigmentation traits:
3
Number of QTL / associations found:
16
Number of chromosomes where QTL / associations are found:
7
Chi-squared (χ2) test: are pigmentation traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
0.10713
6
0.9999754
0.9999754
Chromosome 2
0.66963
6
0.9951232
0.9999754
Chromosome 3
3.85713
6
0.6960034
0.9999754
Chromosome 13
0.10713
6
0.9999754
0.9999754
Chromosome 14
0.66963
6
0.9951232
0.9999754
Chromosome 15
2.16963
6
0.9034552
0.9999754
Chromosome 19
2.16963
6
0.9034552
0.9999754
Chi-squared (χ2) test: Which of the 3 pigmentation traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Coat color
3.00001
2
0.2231290
0.223129000
Coat pattern
14
2
0.000911882
0.001367823
Hoof pigmentation
15
2
0.0005530844
0.001367823
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.:
7
χ2
=
9.749910
Number of traits:
3
df
=
12
Number of QTLs:
16
p-value
=
0.6378904
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.