Longitudinal latent class mixture model analysis identifies subclasses of cognitive/neurodegeneration trajectory with differential patterns of genetic association.

LCMM identified potential subtypes of pathological trajectory in AD which showed differential patterns of genetic association. Larger samples and optimization of phenotypic input including a more complete biomarker panel may provide better power to distinguish subtypes and their genetic effects.