Whole genome analysis for QTL/association enrichment

Running...

Version: Enrich S: beta v0.8

Data:

Number of body size traits:

2

Number of QTL / associations found:

21

Number of chromosomes where QTL / associations are found:

14

Chi-squared (χ^{2}) test: are body size traits over-represented on some chromosomes?

Chromosomes

Total χ^{2}

df

p-values

FDR ^{*}

Size of χ^{2}

Chromosome 1

0.33334

13

0.998329325823115

0.9983293

Chromosome 7

0.33334

13

0.998329325823115

0.9983293

Chromosome 9

8.33334

13

0.8212262

0.9983293

Chromosome 11

3.00000

13

0.9979343

0.9983293

Chromosome 13

0.33334

13

0.998329325823115

0.9983293

Chromosome 15

0.33334

13

0.998329325823115

0.9983293

Chromosome 16

0.33334

13

0.998329325823115

0.9983293

Chromosome 18

0.33334

13

0.998329325823115

0.9983293

Chromosome 19

0.33334

13

0.998329325823115

0.9983293

Chromosome 21

0.33334

13

0.998329325823115

0.9983293

Chromosome 23

0.33334

13

0.998329325823115

0.9983293

Chromosome 24

0.33334

13

0.998329325823115

0.9983293

Chromosome 25

0.33334

13

0.998329325823115

0.9983293

Chromosome 28

0.33334

13

0.998329325823115

0.9983293

Chi-squared (χ^{2}) test: Which of the 2 body size traits are over-represented in the QTLdb

Traits

Total χ^{2}

df

p-values

FDR ^{*}

Size of χ^{2}

Body weight

4.87503

1

0.02724797

0.027247970

Fork length

9.74997

1

0.001793256

0.003586512

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

χ^{2}

=

15.333420

Number of traits:

2

df

=

13

Number of QTLs:

21

p-value

=

0.2870030

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.