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Genetic association studies are becoming an important component of medicalresearch. To cite one instance, pharmacogenomics which is gaining prominence asa useful tool for personalized medicine is heavily reliant on results fromgenetic association studies. Meta-analysis of genetic association studies isbeing increasingly used to assess phenotypic differences between genotypegroups. When the underlying genetic model is assumed to be dominant orrecessive, assessing the phenotype differences based on summary statistics,reported for individual studies in a meta-analysis, is a valid strategy.However, when the genetic model is additive, a similar strategy based onsummary statistics will lead to biased results. This fact about the additivemodel is one of the things that we establish in this paper, using simulations.The main goal of this paper is to present an alternate strategy for theadditive model based on simulating data for the individual studies. We showthat the alternate strategy is far superior to the strategy based on summarystatistics.

A simulations approach for meta-analysis of genetic association studies based on additive genetic model