We repeated the same regression models using different contextual characteristics such as unemployment, poverty level and a composite measure of education poverty and unemployment obtained using Principal Component Analysis (PCA). Table 2 reports the results of these additional models. All models show the significant presence of a negative interaction effect between PGS and contextual measures of neighborhood deprivation indicating that genetic predisposition for high education is mitigated by contextual characteristics.
TABLE 2 HERE