Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of resistance to viral infection traits:
5
Number of QTL / associations found:
27
Number of chromosomes where QTL / associations are found:
14
Chi-squared (χ2) test: are resistance to viral infection traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome SEX
2.23545
13
0.999578
0.9995780
Chromosome 2
2.23545
13
0.999578
0.9995780
Chromosome 3
0.01325
13
0.998329325823115
0.9995780
Chromosome 5
0.01325
13
0.998329325823115
0.9995780
Chromosome 6
0.01325
13
0.998329325823115
0.9995780
Chromosome 8
2.97620
13
0.9980187
0.9995780
Chromosome 13
2.23545
13
0.999578
0.9995780
Chromosome 14
2.97620
13
0.9980187
0.9995780
Chromosome 15
2.23545
13
0.999578
0.9995780
Chromosome 16
0.01325
13
0.998329325823115
0.9995780
Chromosome 17
0.01325
13
0.998329325823115
0.9995780
Chromosome 21
24.45765
13
0.0271721
0.3804094
Chromosome 23
2.23545
13
0.999578
0.9995780
Chromosome 25
2.23545
13
0.999578
0.9995780
Chi-squared (χ2) test: Which of the 5 resistance to viral infection traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
IHN virus survival rate
7.44998
4
0.1139353
0.11393530
IHN virus survival time
9.32501
4
0.05346978
0.06683723
IPN virus survival rate
10.1
4
0.03877647
0.06683723
IPN virus survival time
9.84285
4
0.04315971
0.06683723
VHS virus survival time
12.5
4
0.01399579
0.06683723
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.:
14
χ2
=
43.889000
Number of traits:
5
df
=
52
Number of QTLs:
27
p-value
=
0.780714
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.