Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of fiber traits traits:
3
Number of QTL / associations found:
19
Number of chromosomes where QTL / associations are found:
12
Chi-squared (χ2) test: are fiber traits traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 1
0.64473
11
0.9999948
0.9999999
Chromosome 2
0.64473
11
0.9999948
0.9999999
Chromosome 4
0.32895
11
0.9999999
0.9999999
Chromosome 5
0.32895
11
0.9999999
0.9999999
Chromosome 6
22.11843
11
0.02347164
0.2816597
Chromosome 8
0.32895
11
0.9999999
0.9999999
Chromosome 10
0.64473
11
0.9999948
0.9999999
Chromosome 11
0.64473
11
0.9999948
0.9999999
Chromosome 15
0.64473
11
0.9999948
0.9999999
Chromosome 16
0.64473
11
0.9999948
0.9999999
Chromosome 18
0.64473
11
0.9999948
0.9999999
Chromosome 19
0.64473
11
0.9999948
0.9999999
Chi-squared (χ2) test: Which of the 3 fiber traits traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Cashmere yield
12.10003
2
0.002357827
0.007073481
Fiber diameter
5.77499
2
0.0557156
0.055715600
Fiber length
7.61668
2
0.02218498
0.033277470
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
=
28.263120
Number of traits:
3
df
=
22
Number of QTLs:
19
p-value
=
0.1671243
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.