Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of coat characteristics traits:
3
Number of QTL / associations found:
17
Number of chromosomes where QTL / associations are found:
9
Chi-squared (χ2) test: are coat characteristics traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
1.96077
8
0.982191
0.9983293
Chromosome 2
1.25490
8
0.9960693
0.9983293
Chromosome 4
1.25490
8
0.9960693
0.9983293
Chromosome 6
1.25490
8
0.9960693
0.9983293
Chromosome 7
0.01962
8
0.998329325823115
0.9983293
Chromosome 8
1.25490
8
0.9960693
0.9983293
Chromosome 11
0.01962
8
0.998329325823115
0.9983293
Chromosome 15
7.07844
8
0.5281938
0.9983293
Chromosome 17
0.01962
8
0.998329325823115
0.9983293
Chi-squared (χ2) test: Which of the 3 coat characteristics traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Coat color
12.99999
2
0.001503447
0.002255171
Hair amount
7.00002
2
0.03019708
0.030197080
Spotted coat
13.99999
2
0.0009118865
0.002255171
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.:
9
χ2
=
14.117670
Number of traits:
3
df
=
16
Number of QTLs:
17
p-value
=
0.589948
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.