Group sequential study designs in genetic-epidemiological case-control studies.
OBJECTIVE
In past years, the focus of genetic-epidemiological studies has shifted to analyzing complex diseases. Here, single genes often contribute only little to the manifestation of traits so that many probands have to be included in a study to reliably detect small effects. To reduce the number of required phenotypings and genotypings and thus facilitate analyzing complex traits, sequential study designs can be applied.


METHODS
For sequential analyses of complex diseases in association studies, we compare the procedure by Sobell et al. (Am J Med Genet 1993;48:28-35) with the adaptation of formal group sequential study designs by Pampallona and Tsiatis (J Stat Plan Inf 1994;42:19-35). Error rates and average sample sizes are investigated by Monte-Carlo simulations.


RESULTS
Formal sequential designs have a higher power regardless of underlying genetic effects. In addition, compared with conventional designs with fixed samples, average sample sizes are reduced considerably; under the null hypothesis of no association, up to 50% of the required sample size can be spared.


CONCLUSIONS
To increase the efficiency of genetic-epidemiological case-control studies, we recommend using formal group sequential study designs. The tremendous savings in average sample sizes are expected to affect both cost and time spent on large-scale studies.
König
Inke R
IR
Centre for Genetic Epidemiological Methods, Institute of Medical Biometry and Statistics, University Hospital Schleswig-Holstein, University at Lübeck, Lübeck, Germany.
Ziegler
Andreas
A
D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D004194:Disease; D004813:Epidemiology; D006801:Humans; D009010:Monte Carlo Method