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HuGENet Publications
Predictive Testing for Complex Diseases Using Multiple Genes: Fact or fiction?
Janssens, A Cecile J. W. PhD1; Aulchenko, Yurii S. PhD2; Elefante, Stefano PhD2; Borsboom, Gerard J. J. M. MSc1; Steyerberg, Ewout W. PhD1; van Duijn, Cornelia M. PhD2
Genetics in Medicine 2006 8(7):395-400

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TABLE 1: Basic table for the calculation of the likelihood ratios of the genotypes

Basic table for the calculation of the likelihood ratios of the genotypes
Genotype
Subjects who will develop the disease (D+)
Subjects who will not develop the disease (D-)
Total
Genotype
Subjects who will develop the disease (D+)
Subjects who will not develop the disease (D-)
Total
EE
a
b
f*f*n
Ee
c
d
2*f*(1-f)*n
ee
e
f
(1-f)*(1-f)*n
Total
p*n
(l-p)*n
n

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TABLE 2: Discriminative accuracy as a function of the odds ratio and risk allele frequency

Discriminative accuracy as a function of the odds ratio and risk allele frequency
 
Number of genes needed for AUC of
Odds Ratio
Risk Allele Frequency
AUC of multiple test with 50 genes
0.70
0.80
0.90
0.95
1.05
5%
0.53
> 400
> 400
> 400
> 400
10%
0.54
> 400
> 400
> 400
> 400
30%
0.56
> 400
> 400
> 400
> 400
1.1
5%
0.56
> 400
> 400
> 400
> 400
10%
0.58
330
> 400
> 400
> 400
30%
0.62
150
> 400
> 400
> 400
1.25
5%
0.63
120
320
> 400
> 400
10%
0.69
70
170
> 400
> 400
30%
0.76
27
80
240
> 400
1.5
5%
0.74
33
100
280
> 400
10%
0.80
19
50
150
330
30%
0.88
9
23
70
160

All genes in the genetic profiles have equal odds ratios and risk allele frequencies. The disease frequency was 10%. AUC, area under the receiver-operating characteristic curve.

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Page last reviewed: March 5, 2007 (archived document)
Page last updated: November 2, 2007
Content Source: National Office of Public Health Genomics