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:
5,746
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
10056.80484
19
9e-41
1.000000e-40
Chromosome X
1311.34860
19
1.303659e-266
2.607318e-265
Chromosome 1
14037.12936
19
9e-41
1.000000e-40
Chromosome 2
7626.14712
19
9e-41
1.000000e-40
Chromosome 3
1186.29468
19
7.959946e-240
5.306631e-239
Chromosome 4
6383.07576
19
9e-41
1.000000e-40
Chromosome 5
1076.77836
19
2.114238e-216
1.057119e-215
Chromosome 6
7320.15324
19
9e-41
1.000000e-40
Chromosome 7
23136.49584
19
9e-41
1.000000e-40
Chromosome 8
187.66728
19
9.50051e-30
1.000054e-29
Chromosome 9
976.98600
19
4.329882e-195
1.731953e-194
Chromosome 10
3894.67764
19
9e-41
1.000000e-40
Chromosome 11
1843.69248
19
9e-41
1.000000e-40
Chromosome 12
80.20620
19
1.713455e-09
1.713455e-09
Chromosome 13
534.30984
19
3.474995e-101
9.928557e-101
Chromosome 14
933.22944
19
9.317562e-186
3.105854e-185
Chromosome 15
1186.29468
19
7.959946e-240
5.306631e-239
Chromosome 16
2362.15260
19
9e-41
1.000000e-40
Chromosome 17
4118.72220
19
9e-41
1.000000e-40
Chromosome 18
2755.80936
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
20.41858
35
0.976477
1.000000e+00
Abdominal fat weight
8.63694
35
0.9999985
1.000000e+00
Adipocyte area
6.48422
35
1
1.000000e+00
Adipocyte diameter
91.72353
35
5.622679e-07
2.249072e-06
Adipocyte number
27.87439
35
0.798496
1.000000e+00
Adipocyte perimeter
6.48422
35
1
1.000000e+00
Adipocyte volume
6.48422
35
1
1.000000e+00
Backfat linear at last rib
23.75119
35
0.9252646
1.000000e+00
Backfat linear at tenth rib
24.10007
35
0.91736
1.000000e+00
Backfat percentage
7.99912
35
0.9999995
1.000000e+00
Backfat weight
30.87392
35
0.6676367
1.000000e+00
Belly fat area
39.08594
35
0.2912964
8.738892e-01
External fat on ham
29.43149
35
0.7335733
1.000000e+00
External fat on loin
174.66517
35
1.812435e-20
1.304953e-19
Fat area percentage in carcass
149.31227
35
4.535500e-16
2.721300e-15
Fat percentage in carcass
29.70193
35
0.7215702
1.000000e+00
Fat weight (total)
27.42618
35
0.8156601
1.000000e+00
Ham fat percentage
8.23796
35
0.9999992
1.000000e+00
Ham fat thickness
329.88911
35
1.159762e-49
1.391714e-48
Ham fat weight
21.18502
35
0.968237
1.000000e+00
Intermuscular fat content
335.59138
35
8.87433e-51
1.597379e-49
Intestinal fat percentage
11.30594
35
0.9999512
1.000000e+00
Intestinal fat weight
18.96693
35
0.9875363
1.000000e+00
Intramuscular fat content
206.51332
35
3.372008e-26
3.034807e-25
Leaf fat weight
50.22635
35
0.04600169
1.656061e-01
Loin fat percentage
27.39278
35
0.8169091
1.000000e+00
Marbling
402.80009
35
4.511478e-64
1.624132e-62
Neck fat weight
9.76032
35
0.9999924
1.000000e+00
Obesity index
101.5504
35
2.109983e-08
9.494923e-08
Percentage of backfat and leaf fat in carcass
14.9945
35
0.9987528
1.000000e+00
Shoulder external fat weight
25.49126
35
0.8805795
1.000000e+00
Subcutaneous fat thickness
101.8947
35
1.875497e-08
9.494923e-08
Subcutaneous fat weight
40.37425
35
0.2447979
8.011568e-01
Subcutanous fat area
32.94022
35
0.5678917
1.000000e+00
Total body fat tissue linear
25.96621
35
0.866094
1.000000e+00
leaf fat percentage
7.38713
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
=
91007.975520
Number of traits:
36
df
=
665
Number of QTLs:
5,746
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...
