Skip to main content
. 2021 Sep 22;5:287. Originally published 2020 Dec 9. [Version 2] doi: 10.12688/wellcomeopenres.16320.2

Table 5. Summary of the performance of methods using haplotypes or intensities to infer the -α -3.7I genotypes from features/SNPs within the -α -3.7I deletion region.

Methods Principle Directly
typed (N)
Sensitivity *** Specificity *** Positive Predicative
Value ***
Overall
Association
(OR [95%CI]
p-value)
Model Genotypic Association (OR)
adjusted
Norm Het Homo Norm Het Homo Norm Het Homo Norm
(ref)
Het Homo
Direct
genotyping
PCR
genotyping
3036 NA NA NA 0.78
(0.70-0.87)
(p=1.1x10 -5)
Additive 1 0.79
[0.67-0.93]
(p=0.005)
0.60
[0.47-0.76]
(p=2.43x10 -5)
Intensity
distributions
(4 features) *
Intensity
thresholds
(AF3;XX)
0 24.1 83.1 93.1 91.3 44.7 95.8 81.4 61.8 78.2 0.76
[0.64-0.9]
(p=0.0013)
Homozygous
or
Heterozygous
1 0.74
[0.62-0.88]
(p=7.2x10 -4)
0.83
[0.66-1.04]
(p=1.11x10 -11)
to to to to to to to to to to to to
63.2 94.8 95.2 98.8 72.9 98.6 92.6 74.4 91.8 1.74
[1.42-2.13]
(p=5.8x10 -8)
1.87
[1.43-2.44]
(p=4x10 -6)
1.49
[1.06-1.98]
(p=2.1x10 -9)
Hierarchical
clustering
(5 features)
Hierachical
clustering
(AF3;TT)
0 56 74 96 95 71 86 80 73 88 1.43
[1.28-1.69]
(p=1.3x10 -10)
Additive 1 1.12
[0.91-1.37]
(p=0.05)
2.02
[1.6-2.55]
(2.2x10 -9)
Hierarchical
clustering
(4 features)
Hierarchical
clustering
(AF3;TT)
0 41 74 96 93 61 87 73 67 88 1.86
[1.56-2.22]
(p=4.98x10 -12)
Recessive 1 1.24
[1.02-1.49]
(p=0.02)
2.02
[1.62-2.51]
(p=2.5x10 -10)
MRM * Regression
(AF3;VV)
100 58 75 79.8 83.1 53.4 96.6 70.1 61.7 71.6 0.79
[0.68-0.92]
(p=0.0025)
Heterozygous
or Dominant
1 0.8
[0.67-0.95]
(p=0.01)
0.81
[0.65-1.02]
(p=0.08)
to to to to to to to To to to To to
73 86 85 89.6 75.3 98.6 79.2 76.7 90.1 1.67
[1.45-1.94]
(p=3.7x10 -12)
1.63
[1.37-1.95]
(p=3.5x10 -8)
2.61
[2.05-3.33]
(p=6.8x10 -15)
CART * Hierarchical
clustering
and
regression
(AF3;UU)
100 68.1 45.5 68.6 76.7 61.3 96.7 62.4 61.4 67.6 0.799
[0.69-0.93]
(p=0.004)
Heterozygous,
or Dominant
1 0.79
[0.67-0.93]
(p=0.01)
0.81
[0.64-1.02]
(p=0.08)
to to to to to to To To to to To to
78.8 86.7 97.2 97.7 81.6 99.1 84.4 81.4 92.9 1.70
[1.47-1.97]
(p=1.19x10 -12)
1.72
[1.44-2.04]
(p=9.8x10 -9)
1.9
[0.85-1.39]
(0.47)
IMPUTE2 **
70% threshold
(means ± SD)
Imputation
(1000 runs)
(AF3;AG/AI)
100 77 77 75 93 88 97 87 83 94 0.74 ± 0.07
(p =1.71x10 -3
± 3x10 -3)
Additive,
dominant or
recessive
0.79 ± 0.04
(p=0.02 ±
0.04)
0.61 ± 0.04
(p=0.009 ±
0.003)
± ± ± ± ± ± ± ± ± 1
5 5 9 2 2 1 2 3 1
IMPUTE2 **
90% threshold
(means ± SD)
Imputation
(1000 runs)
(AF3;AH/AJ)
100 68 66 62 95 92 98 85 79 93 0.76 ± 0.08
(p = 0.005 ±
0.010)
Additive,
dominant or
recessive
0.77 ± 0.05
(p=0.03 ±
0.06)
0.61 ± 0.05
(p=0.004 ±
0.013)
± ± ± ± ± ± ± ± ± 1
6 8 14 2 2 1 2 4 2

Further details of methods and results can be found in the Extended Data.

* Where several SNPs (as indicated) were tested, then the ranges of results are shown.

** Data are mean ± SD for 1,000 individual runs of IMPUTE2 (70% and 90% refer to the threshold used to assign a genotype).

*** Data are shown as percentages.

MRM, Multiple-Regression Model; CART, Classification and Regression Trees.