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:
578
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
90.15890
18
1.352155e-11
6.422736e-11
Chromosome 1
5660.47895
18
9e-41
1.710000e-39
Chromosome 2
2.10525
18
0.9999983
9.999983e-01
Chromosome 3
61.99280
18
9.708933e-07
2.305872e-06
Chromosome 4
61.99280
18
9.708933e-07
2.305872e-06
Chromosome 5
98.02220
18
5.09362e-13
3.225959e-12
Chromosome 6
26.00665
18
0.09960596
1.455779e-01
Chromosome 7
1.09315
18
0.998329325823115
9.999983e-01
Chromosome 8
5.11565
18
0.9986683
9.999983e-01
Chromosome 9
4.83020
18
0.9991
9.999983e-01
Chromosome 10
44.31980
18
0.0005191856
9.864526e-04
Chromosome 11
55.77310
18
9.678038e-06
2.043141e-05
Chromosome 12
1.09315
18
0.998329325823115
9.999983e-01
Chromosome 13
39.08625
18
0.00277462
4.792525e-03
Chromosome 14
22.03605
18
0.2303886
3.126702e-01
Chromosome 15
34.18140
18
0.01196125
1.893865e-02
Chromosome 16
106.21425
18
1.588019e-14
1.508618e-13
Chromosome 17
68.54125
18
7.964969e-08
2.522240e-07
Chromosome 18
75.41840
18
5.35909e-09
2.036454e-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
42.85319
4
1.109970e-08
1.109970e-08
Feed intake
53.2249
4
7.646536e-11
1.274423e-10
Number of visits to feeder
119.39937
4
7.176995e-25
3.588497e-24
Residual feed intake
101.01008
4
5.995005e-21
1.498751e-20
Time spent in feeder
49.26706
4
5.135731e-10
6.419664e-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
=
6458.460200
Number of traits:
5
df
=
72
Number of QTLs:
578
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.
Running...
