Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of other traits:
2
Number of QTL / associations found:
23
Number of chromosomes where QTL / associations are found:
12
Chi-squared (χ2) test: are other traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
0.87682
11
0.9999743
0.9999743
Chromosome 2
0.87682
11
0.9999743
0.9999743
Chromosome 3
1.22464
11
0.9998602
0.9999743
Chromosome 4
0.00724
11
0.998329325823115
0.9999743
Chromosome 5
9.92028
11
0.537572
0.9999743
Chromosome 6
0.87682
11
0.9999743
0.9999743
Chromosome 9
0.87682
11
0.9999743
0.9999743
Chromosome 10
0.00724
11
0.998329325823115
0.9999743
Chromosome 14
0.87682
11
0.9999743
0.9999743
Chromosome 17
0.00724
11
0.998329325823115
0.9999743
Chromosome 23
1.22464
11
0.9998602
0.9999743
Chromosome 26
0.87682
11
0.9999743
0.9999743
Chi-squared (χ2) test: Which of the 2 other traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Abomasom pH
10.50001
1
0.001193739
0.002387478
Ocular mucosa coloration
0.47729
1
0.4896524
0.489652400
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.:
12
χ2
=
17.652200
Number of traits:
2
df
=
11
Number of QTLs:
23
p-value
=
0.09000961
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.