Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of mastitis traits:
2
Number of QTL / associations found:
36
Number of chromosomes where QTL / associations are found:
6
Chi-squared (χ2) test: are mastitis traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 6
8.33334
5
0.1387963
0.1387963
Chromosome 13
8.33334
5
0.1387963
0.1387963
Chromosome 15
8.33334
5
0.1387963
0.1387963
Chromosome 19
8.33334
5
0.1387963
0.1387963
Chromosome 27
8.33334
5
0.1387963
0.1387963
Chromosome 29
8.33334
5
0.1387963
0.1387963
Chi-squared (χ2) test: Which of the 2 mastitis traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Somatic cell count
34.00001
1
5.511179e-09
1.102236e-08
Somatic cell score
2
1
0.1572992
1.572992e-01
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.:
6
χ2
=
50.000040
Number of traits:
2
df
=
5
Number of QTLs:
36
p-value
=
1.385771e-09
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.
Running...
