Table 2. Linear regression models of associations between the MMSE scores and 16 tag SNPs within the ADAMTS9 and PPARG genes, which have an evidence of association (P < 0.05).

						Additive model			Recessive model			Dominant model
Gene	CHR	SNP	A1	A2	MAF	BETA	SE	P	BETA	SE	P	BETA	SE	P
ADAMTS9	3	rs17070967	C	T	0.077	-0.04	0.70	0.9574	0.05	1.41	0.9716	-0.72	0.32	0.0264
		rs1561988	A	G	0.496	-0.42	0.17	0.0138	-0.78	0.28	0.0054	-0.33	0.28	0.2316
		rs1014640	T	C	0.441	-0.51	0.17	0.0034	-1.00	0.30	0.0010	-0.31	0.26	0.2344
		rs17071042	C	A	0.076	0.59	0.99	0.5527	1.29	1.99	0.5170	-0.66	0.33	0.0448
		rs3935273	T	C	0.218	-0.31	0.31	0.3097	-0.42	0.61	0.4918	-0.58	0.25	0.0185
		rs76346246	C	T	0.070	0.03	1.40	0.9818	0.18	2.81	0.9499	-0.96	0.34	0.0047
		rs60073432	A	G	0.251	0.29	0.24	0.2344	0.33	0.48	0.4860	0.57	0.24	0.0184
		rs73832338	T	C	0.207	1.01	0.31	0.0012	1.78	0.62	0.0042	0.93	0.25	0.0002
		rs9985304	A	G	0.427	-0.74	0.17	1.4 x 10−5	-1.22	0.30	4.5 x 10−5	-0.74	0.26	0.0040
		rs4317088	C	T	0.490	-0.82	0.17	1.5 x 10−6	-1.15	0.28	3.7 x 10−5	-1.03	0.28	0.0002
		rs6445420	C	T	0.083	-1.45	0.63	0.0221	-2.87	1.26	0.0232	-0.39	0.35	0.2595
		rs9831846	C	T	0.484	-0.71	0.17	2.2 x 10−5	-1.03	0.27	0.0002	-0.88	0.27	0.0013
		rs7646362	A	G	0.046	0.83	1.40	0.5556	1.72	2.82	0.5408	-0.93	0.44	0.0353
		rs75581931	A	G	0.224	-0.68	0.31	0.0289	-1.32	0.61	0.0314	-0.22	0.24	0.3670
		rs80118777	G	T	0.150	-1.03	0.50	0.0397	-2.03	1.00	0.0424	-0.22	0.26	0.4000
PPARG	3	rs78287138	T	C	0.142	0.38	0.43	0.3703	0.62	0.86	0.4693	0.57	0.26	0.0314

A1 = minor allele, A2 = major allele, BETA = Beta coefficients, Chr = chromosome, HWE = Hardy–Weinberg equilibrium, MAF = minor allele frequency, MMSE = Mini-Mental State Examination, SE = standard error.

Analysis was obtained after adjustment for covariates including age, gender, and education. P values of < 0.0005 are shown in bold.