Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of blood parameters traits:
2
Number of QTL / associations found:
6
Number of chromosomes where QTL / associations are found:
4
Chi-squared (χ2) test: are blood parameters traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome 4
0.33334
3
0.9536409
0.9536409
Chromosome 14
0.33334
3
0.9536409
0.9536409
Chromosome 15
0.33334
3
0.9536409
0.9536409
Chromosome 18
0.33334
3
0.9536409
0.9536409
Chi-squared (χ2) test: Which of the 2 blood parameters traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Hematocrit
1
1
0.3173105
0.31731050
Insulin level
5
1
0.02534732
0.05069464
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.:
4
χ2
=
1.333360
Number of traits:
2
df
=
3
Number of QTLs:
6
p-value
=
0.721227
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...
