Study designs for genome-wide association studies.
Advances in high-throughput genotyping and a flood of data on human genetic variation from the Human Genome and HapMap projects have made genome-wide association studies technically feasible. However, researchers designing such studies face a number of challenges, including how to avoid subtle systematic biases and how to achieve sufficient statistical power to distinguish modest association signals from chance associations. In many situations, it remains prohibitively expensive to genotype all the desired samples using a genome-wide genotyping array, so multistage designs are an attractive cost-saving measure. Here, we review some of the basic design principles for genetic association studies, discuss the properties of fixed genome-wide and custom genotyping arrays as they relate to study design, and present a theoretical framework and practical tools for power calculations. We close with a discussion of the limitations of multistage designs.
Kraft
Peter
P
Program in Molecular and Genetic Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Cox
David G
DG
D016022:Case-Control Studies; D015894:Genome, Human; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D012107:Research Design / Q000639:trends; D012189:Retrospective Studies