Analysis of association between common variants of uncoupling proteins genes and diabetic retinopathy in a Chinese population

Table 2 The association of uncoupling proteins genotypes and diabetic retinopathy

rs ID	Genotype	Dataset 1				Dataset 2				Meta-analysis
rs ID	Genotype	DR	NDR	OR^a [95% CI^b]	P	DR	NDR	OR [95% CI]	P	OR	P	P_adj^c	Q ^d
rs10011540^e	GG	4	7	Add^f:1.312 [1.026–1.676]	0.030	0	3	Add:1.607 [1.021–2.527]	0.040	1.373	0.004	0.048	0.440
	GT	101	204	Dom^g:1.332 [1.027–1.726]	0.030	26	138	Dom:1.685 [1.066–2.664]	0.025	1.410	0.003	0.039	0.380
	TT	423	1132			100	914
rs3811787	TT	121	342	Add:0.867 [0.753–0.998]	0.047	23	238	Add:0.870 [0.657–1.151]	0.329	0.868	0.027	0.351	0.985
	GT	246	657	Dom:0.787 [0.630–0.983]	0.035	56	477	Dom:0.859 [0.553–1.334]	0.499	0.801	0.029	0.377	0.729
	GG	161	345			31	241
rs7688743	AA	38	76	Add:1.151 [0.977–1.355]	0.092	9	57	Add:1.351 [1.009–1.808]	0.043	1.196	0.014	0.182	0.347
	AG	219	528	Dom:1.162 [0.950–1.422]	0.145	63	425	Dom:1.481 [1.027–2.136]		1.229	0.022	0.286	0.256
	GG	271	740			58	575
rs3811790	AA	80	168	Add:0.952 [0.821–1.104]	0.517	17	133	Add:0.937 [0.715–1.227]	0.634	0.949	0.425	1	0.916
	AC	213	644	Dom:0.817 [0.666–1.001]	0.051	58	522	Dom:0.866 [0.603–1.243]	0.434	0.828	0.037	0.481	0.785
	CC	235	532			59	446

^a OR odds ratio, ^b CI confidence interval, ^c P_adj Bonferroni correction based on the total number of markers tested (n = 13), ^d Cochran’s Q statistic ^e the SNP with corrected P < 0.05 in the meta-analysis was marked in bold; ^f Add, the additive model; ^g Dom, the dominant model

ISSN: 1471-2350