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Application of the mixed model method requires data sets in which all individuals are measured for genome-wide genotypes and the environmental risk factor. The mixed linear model method requires large samples measured for both individual level genetic and environmental measures (based on power considerations (e.Dudbridge, 2013; Visscher et al. Because individual studies are generally too small, researchers are likely to combine data from several studies into one study.
The gain in sample size, however, often comes with a loss in coherence of both genetic and environmental measures.