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Comment
. 2004 Mar;74(3):585-8; author reply 588-9.
doi: 10.1086/382052.

Revisiting the clinical validity of multiplex genetic testing in complex diseases

A Cecile J W Janssens, M Carolina Pardo, Ewout W Steyerberg, Cornelia M van Duijn
Comment

Revisiting the clinical validity of multiplex genetic testing in complex diseases

A Cecile J W Janssens et al. Am J Hum Genet. 2004 Mar.
No abstract available

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Figures

Figure 1
Figure 1
Probability of disease before and after testing for multiple genes and environmental exposure. The two-gene test has 4 (22) possible test results, the three-gene test has 8 (23) results, and so on. The posterior probability of disease for each combination of test results is obtained from the regression equations in table 1 of Yang et al. (2003).The prevalence of each combination is calculated by multiplying the probabilities of positive (p) and negative (1-p) test results of each single test. For example, for the two-gene test we calculate that 60% ([1−0.25] × [1−0.20] × 100) of the individuals will have negative results on both tests and 15% ([1−0.25] × 0.20 × 100) will have a negative result on test 1 and a positive result on test 2. To facilitate presentation of all results, a cumulative prevalence (X-axis) was calculated, which was obtained by summing the prevalences after ranking the outcomes on their posterior probability.
Figure 2
Figure 2
ROC curves for the multiplex genetic tests of Yang et al. (2003).
See this image and copyright information in PMC

Comment on

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