Furthermore, we validate the model by showing that it is capable of predicting phenotypic effects associated with two genotypes on opposite sides of the AD risk spectrum, and by showing that it can accurately predict recent experimental data obtained by lowering the level of reelin in Re+alECLII neurons in McGill-R-Thy1-APP rats. This evidence concerns the gene THY1 and Alzheimer disease.