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:
625
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
101.92170
18
9.834161e-14
4.671226e-13
Chromosome 1
7908.86570
18
9e-41
1.710000e-39
Chromosome 2
0.18570
18
0.998329325823115
9.983491e-01
Chromosome 3
72.86570
18
1.470854e-08
3.493278e-08
Chromosome 4
72.86570
18
1.470854e-08
3.493278e-08
Chromosome 5
109.94570
18
3.221529e-15
2.040302e-14
Chromosome 6
15.52170
18
0.6258891
9.147610e-01
Chromosome 7
0.00170
18
0.998329325823115
9.983491e-01
Chromosome 8
1.46570
18
0.998329325823115
9.983491e-01
Chromosome 9
5.28170
18
0.9983491
9.983491e-01
Chromosome 10
54.26570
18
1.668133e-05
3.169453e-05
Chromosome 11
66.36170
18
1.84576e-07
3.896604e-07
Chromosome 12
0.00170
18
0.998329325823115
9.983491e-01
Chromosome 13
48.67370
18
0.0001194756
2.063669e-04
Chromosome 14
12.60170
18
0.8146706
9.983491e-01
Chromosome 15
43.38570
18
0.0007056514
1.117281e-03
Chromosome 16
118.27370
18
8.879548e-17
8.435571e-16
Chromosome 17
79.67370
18
9.772664e-10
3.094677e-09
Chromosome 18
86.78570
18
5.425742e-11
2.061782e-10
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
48.53064
4
7.315268e-10
7.315268e-10
Feed intake
60.51808
4
2.257572e-12
3.762620e-12
Number of visits to feeder
131.97033
4
1.475658e-27
7.378290e-27
Residual feed intake
117.93257
4
1.476301e-24
3.690753e-24
Time spent in feeder
55.7702
4
2.240417e-11
2.800521e-11
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
=
8798.944300
Number of traits:
5
df
=
72
Number of QTLs:
625
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...
