Table 3.

Output of multiple regression models using unweighted and weighted genetic risk scores as dependent variable and ethnicity, age and sex as independent variables.

Dependent variable: GRS		R Square=0.009
Independent variables	Coefficient	p-value	β
Ethnicity (Roma vs. General)	0.667	<0.001	0.092
Sex women vs. men)	0.106	0.477	0.016
Age	−0.0003	0.068	−0.001
β: relative strength of predictors
Dependent variable: wGRS		R Square=0.017
Independent variables	Coefficient	p-value	β
Ethnicity (Roma vs. General)	0.029	<0.001	0.125
Sex (women vs. men)	−0.001	0.774	−0.006
Age	−0.0002	0.202	−0.028
β: relative strength of predictors

Multivariate regression analysis using age, sex as covariates did not change the inference neither for the GRS nor for wGRS.