Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of semen quality traits:
5
Number of QTL / associations found:
10
Number of chromosomes where QTL / associations are found:
2
Chi-squared (χ2) test: are semen quality traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 6
1.00000
1
0.3173105
0.3173105
Chromosome 24
1.00000
1
0.3173105
0.3173105
Chi-squared (χ2) test: Which of the 5 semen quality traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Semen volume
0.08333
4
0.9991558
0.9996213
Sperm abnormality rate
1.5
4
0.8266415
0.9996213
Sperm concentration
0.05555
4
0.9996213
0.9996213
Sperm count
0.05555
4
0.9996213
0.9996213
Sperm motility
0.66667
4
0.9553747
0.9996213
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.:
2
χ2
=
2.000000
Number of traits:
5
df
=
4
Number of QTLs:
10
p-value
=
0.7357589
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...
