We propose a hybrid analytical approach that is robust to differences in sampling distribution across studies, controls Type I error and yet attains good power. This method requires that sufficient genotyping is available on all samples to permit matching samples based on genetic ancestry. To test for association, the matched strata are analyzed within a CLR framework. To this end, we will refer to our method as a matched-CLR (mCLR) approach.
