Table 3.

Sample size, GLMM parameters, p-values and execution times for the analysis of the Baependi dataset.

Gene	SNPs	Total Subjects	GLMM Parameters			Test	p-Value	$\mathit{\alpha }$ Level	Time (s)
			${\widehat{\mathit{\sigma }}}^{\mathbf{2}}$	${\widehat{\mathit{\sigma }}}_{\mathit{\theta }}^{\mathbf{2}}$	$\widehat{\mathit{\lambda }}\mathbf{=}\mathbf{1}\mathbf{/}{\widehat{\mathit{\sigma }}}_{\mathit{G}}^{\mathbf{2}}$
						VCT	0.028	0.05	18.420
PPARG	16	928	0.4463	0.0029	344.8276	MinP	0.019 *	0.005	100.261
						Score	0.595	0.05	9.025
						VCT	0.451	0.05	12.958
FTO	149	783	0.3710	0.0033	303.0303	MinP	0.031 *	0.0005	2675.907
						Score	0.992	0.05	6.197
						VCT	0.635	0.05	9.907
CDKAL1	186	730	0.0918	0.0111	90.0901	MinP	0.040 *	0.0005	1755.881
						Score	0.915	0.05	4.257

* Compare MinP test p-value with the corresponding corrected $\mathit{\alpha }$, obtained by dividing 0.05 for the number of effective SNPs (which is equivalent to the number of principal components that reach 99.5% of the their total variation): 10 for PPARG, 93 for FTO and 92 for CDKAL1.