Whole genome analysis for QTL/association enrichment
Running...
Version: Enrich S: beta v0.8
Data:
Number of fatness traits:
36
Number of QTL / associations found:
5,702
Number of chromosomes where QTL / associations are found:
20
Chi-squared (χ2) test: are fatness traits over-represented on some chromosomes?
Chromosomes
Total χ2
df
p-values
FDR *
Size of χ2
Chromosome Y
9977.62032
19
9e-41
1.000000e-40
Chromosome X
1265.24160
19
9.891206e-257
1.978241e-255
Chromosome 1
13411.39644
19
9e-41
1.000000e-40
Chromosome 2
7327.88892
19
9e-41
1.000000e-40
Chromosome 3
1142.00064
19
2.393370e-230
1.595580e-229
Chromosome 4
6558.33996
19
9e-41
1.000000e-40
Chromosome 5
997.94988
19
1.453583e-199
7.267915e-199
Chromosome 6
7388.85276
19
9e-41
1.000000e-40
Chromosome 7
23120.10792
19
9e-41
1.000000e-40
Chromosome 8
211.22820
19
1.965437e-34
2.068881e-34
Chromosome 9
936.07704
19
2.302376e-186
9.209504e-186
Chromosome 10
3827.39112
19
9e-41
1.000000e-40
Chromosome 11
1913.46876
19
9e-41
1.000000e-40
Chromosome 12
73.33992
19
2.539400e-08
2.539400e-08
Chromosome 13
502.76376
19
1.470074e-94
4.200211e-94
Chromosome 14
893.09412
19
3.331668e-177
1.110556e-176
Chromosome 15
1190.53944
19
9.825055e-241
9.825055e-240
Chromosome 16
2338.95312
19
9e-41
1.000000e-40
Chromosome 17
4050.38628
19
9e-41
1.000000e-40
Chromosome 18
2882.93076
19
9e-41
1.000000e-40
Chi-squared (χ2) test: Which of the 36 fatness traits are over-represented in the QTLdb
Traits
Total χ2
df
p-values
FDR *
Size of χ2
Abdominal fat percentage
20.31879
35
0.9774173
1.000000e+00
Abdominal fat weight
8.57309
35
0.9999986
1.000000e+00
Adipocyte area
6.48145
35
1
1.000000e+00
Adipocyte diameter
91.36744
35
6.313354e-07
2.525342e-06
Adipocyte number
27.65325
35
0.8070575
1.000000e+00
Adipocyte perimeter
6.48145
35
1
1.000000e+00
Adipocyte volume
6.48145
35
1
1.000000e+00
Backfat linear at last rib
23.55994
35
0.929377
1.000000e+00
Backfat linear at tenth rib
24.68598
35
0.9028996
1.000000e+00
Backfat percentage
8.08627
35
0.9999994
1.000000e+00
Backfat weight
30.92315
35
0.665314
1.000000e+00
Belly fat area
38.81777
35
0.3016039
9.048117e-01
External fat on ham
29.41139
35
0.7344578
1.000000e+00
External fat on loin
173.36581
35
3.073559e-20
2.212962e-19
Fat area percentage in carcass
148.55758
35
6.09247e-16
3.655482e-15
Fat percentage in carcass
30.13541
35
0.7019578
1.000000e+00
Fat weight (total)
27.6882
35
0.8057164
1.000000e+00
Ham fat percentage
8.33222
35
0.999999
1.000000e+00
Ham fat thickness
327.20742
35
3.877847e-49
4.653416e-48
Ham fat weight
21.04363
35
0.969898
1.000000e+00
Intermuscular fat content
339.50727
35
1.514971e-51
2.726948e-50
Intestinal fat percentage
11.26949
35
0.999953
1.000000e+00
Intestinal fat weight
18.78405
35
0.9885717
1.000000e+00
Intramuscular fat content
205.57577
35
5.003058e-26
4.502752e-25
Leaf fat weight
50.00424
35
0.04805769
1.730077e-01
Loin fat percentage
27.30597
35
0.8201352
1.000000e+00
Marbling
401.0502
35
1.007561e-63
3.627220e-62
Neck fat weight
9.84028
35
0.9999915
1.000000e+00
Obesity index
101.58268
35
2.086822e-08
9.390699e-08
Percentage of backfat and leaf fat in carcass
15.11831
35
0.9986393
1.000000e+00
Shoulder external fat weight
25.45554
35
0.8816295
1.000000e+00
Subcutaneous fat thickness
102.6199
35
1.462523e-08
7.521547e-08
Subcutaneous fat weight
40.72331
35
0.2330814
7.628119e-01
Subcutanous fat area
32.72247
35
0.5785282
1.000000e+00
Total body fat tissue linear
25.87962
35
0.8688072
1.000000e+00
leaf fat percentage
7.41875
35
0.9999998
1.000000e+00
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.:
20
χ2
=
90009.570960
Number of traits:
36
df
=
665
Number of QTLs:
5,702
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...
