Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of conformation traits:
5
Number of QTL / associations found:
9
Number of chromosomes where QTL / associations are found:
5
Chi-squared (χ2) test: are conformation traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
0.11110
4
0.998513
0.998513
Chromosome 13
0.11110
4
0.998513
0.998513
Chromosome 15
1.77780
4
0.7765414
0.998513
Chromosome 22
0.11110
4
0.998513
0.998513
Chromosome 27
0.11110
4
0.998513
0.998513
Chi-squared (χ2) test: Which of the 5 conformation traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Angularity
5
4
0.2872975
0.4778799
Bone quality
7.99999
4
0.09157856
0.3397232
Conformation score
6.99998
4
0.1358893
0.3397232
Dairyness
3.49999
4
0.4778799
0.4778799
Rump angle
3.49999
4
0.4778799
0.4778799
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.:
5
χ2
=
2.222200
Number of traits:
5
df
=
16
Number of QTLs:
9
p-value
=
0.9999784
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.