Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of feed intake traits:
5
Number of QTL / associations found:
580
Number of chromosomes where QTL / associations are found:
19
Chi-squared (χ2) test: are feed intake traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome X
90.65745
18
1.100126e-11
5.225598e-11
Chromosome 1
5634.56260
18
9e-41
1.710000e-39
Chromosome 2
1.97640
18
0.999999
9.999990e-01
Chromosome 3
62.45055
18
8.172119e-07
1.940878e-06
Chromosome 4
62.45055
18
8.172119e-07
1.940878e-06
Chromosome 5
98.52815
18
4.117525e-13
2.607766e-12
Chromosome 6
25.48505
18
0.1121282
1.638797e-01
Chromosome 7
1.00225
18
0.998329325823115
9.999990e-01
Chromosome 8
4.90745
18
0.9989964
9.999990e-01
Chromosome 9
2.03675
18
0.9999987
9.999990e-01
Chromosome 10
44.73505
18
0.0004525295
8.598060e-04
Chromosome 11
56.21780
18
8.233635e-06
1.738212e-05
Chromosome 12
1.00225
18
0.998329325823115
9.999990e-01
Chromosome 13
39.48505
18
0.002451545
4.234487e-03
Chromosome 14
21.56260
18
0.2519843
3.419787e-01
Chromosome 15
34.56260
18
0.01072421
1.698000e-02
Chromosome 16
106.72640
18
1.276453e-14
1.212630e-13
Chromosome 17
69.01090
18
6.639014e-08
2.102354e-07
Chromosome 18
75.89880
18
4.427412e-09
1.682417e-08
Chi-squared (χ2) test: Which of the 5 feed intake traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Average feeding rate
43.03697
4
1.016670e-08
1.016670e-08
Feed intake
54.20861
4
4.759077e-11
7.931795e-11
Number of visits to feeder
119.88931
4
5.640307e-25
2.820154e-24
Residual feed intake
103.28656
4
1.963141e-21
4.907853e-21
Time spent in feeder
49.52841
4
4.529593e-10
5.661991e-10
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
=
6433.258650
Number of traits:
5
df
=
72
Number of QTLs:
580
p-value
=
0
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.