We propose the warped linear mixed model (WarpedLMM), a principled generalization of the standard LMM that allows to fit phenotype transformations while performing genetic analyses.

However, the utility of linear (mixed) models in the context of meta-analysis of GWAS of binary phenotypes has not been previously explored.

Sanjoy K. Sinha, Robust Analysis of Generalized Linear Mixed Models, Journal of the American Statistical Association, Vol. 99, No. 466 (Apr., 2004), pp. 451-460 ...

This paper describes the use of a linear mixed-effects regression model as a framework for the meta-analysis of published data. It generalizes the random-effects models used by DerSimonian and Laird ...

Just as PROC GLM is the flagship procedure for fixed-effect linear models, the MIXED procedure is the flagship procedure for random- and mixed-effect linear models. PROC MIXED fits a variety of mixed ...