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:
1,440
Number of chromosomes where QTL / associations are found:
8
Chi-squared (χ2) test: are pigmentation traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
516.26667
7
2.548949e-107
2.913085e-107
Chromosome 2
522.15000
7
1.383782e-108
2.214051e-108
Chromosome 3
516.26667
7
2.548949e-107
2.913085e-107
Chromosome 4
522.15000
7
1.383782e-108
2.214051e-108
Chromosome 13
528.06666
7
7.387005e-110
1.969868e-109
Chromosome 14
25709.40000
7
9e-41
9.000000e-41
Chromosome 15
534.01668
7
3.877548e-111
1.551019e-110
Chromosome 19
534.01668
7
3.877548e-111
1.551019e-110
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
2.99999
2
0.2231313
2.231313e-01
Coat pattern
1438.00002
2
9e-41
1.350000e-40
Hoof pigmentation
1438.99999
2
9e-41
1.350000e-40
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
=
29382.333360
Number of traits:
3
df
=
14
Number of QTLs:
1,440
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.