Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of hair/coat quality traits:
4
Number of QTL / associations found:
31
Number of chromosomes where QTL / associations are found:
8
Chi-squared (χ2) test: are hair/coat quality traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
8.53224
7
0.2880049
3.291485e-01
Chromosome 2
8.53224
7
0.2880049
3.291485e-01
Chromosome 5
3.62904
7
0.8213747
8.213747e-01
Chromosome 7
8.53224
7
0.2880049
3.291485e-01
Chromosome 11
377.56452
7
1.538125e-77
1.230500e-76
Chromosome 17
8.53224
7
0.2880049
3.291485e-01
Chromosome 19
8.53224
7
0.2880049
3.291485e-01
Chromosome 23
8.53224
7
0.2880049
3.291485e-01
Chi-squared (χ2) test: Which of the 4 hair/coat quality traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Coat texture
2.4348
3
0.4871895
0.4871895000
Hair density
5.21738
3
0.1565542
0.2087389333
Number of hair whorls
17.47466
3
0.000564383
0.0011287660
Position of hair whorls
22.83333
3
4.374556e-05
0.0001749822
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
=
432.387000
Number of traits:
4
df
=
21
Number of QTLs:
31
p-value
=
1.796572e-78
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...
