Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of feed conversion traits:
2
Number of QTL / associations found:
528
Number of chromosomes where QTL / associations are found:
19
Chi-squared (χ2) test: are feed conversion traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome X
5.56000
18
0.997679
9.983293e-01
Chromosome 1
23.86682
18
0.1594396
3.786690e-01
Chromosome 2
94.36682
18
2.354266e-12
2.236553e-11
Chromosome 3
28.18500
18
0.05929514
1.609440e-01
Chromosome 4
84.23046
18
1.542726e-10
9.770598e-10
Chromosome 5
181.44258
18
4.965866e-29
9.435145e-28
Chromosome 6
0.04486
18
0.998329325823115
9.983293e-01
Chromosome 7
8.37818
18
0.9724588
9.983293e-01
Chromosome 8
13.68500
18
0.7493826
9.983293e-01
Chromosome 9
1.27592
18
0.998329325823115
9.983293e-01
Chromosome 10
28.18500
18
0.05929514
1.609440e-01
Chromosome 11
28.18500
18
0.05929514
1.609440e-01
Chromosome 12
15.74182
18
0.6105603
9.983293e-01
Chromosome 13
34.16986
18
0.0120007
5.700333e-02
Chromosome 14
0.00318
18
0.998329325823115
9.983293e-01
Chromosome 15
21.31758
18
0.2636946
5.010197e-01
Chromosome 16
0.10546
18
0.998329325823115
9.983293e-01
Chromosome 17
13.68500
18
0.7493826
9.983293e-01
Chromosome 18
22.77592
18
0.1993484
4.208466e-01
Chi-squared (χ2) test: Which of the 2 feed conversion traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Feed conversion ratio
9.28807
1
0.002306510
2.306510e-03
Feed efficiency
102.16858
1
5.099231e-24
1.019846e-23
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.:
19
χ2
=
605.204460
Number of traits:
2
df
=
18
Number of QTLs:
528
p-value
=
6.832413e-117
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...
