Table 1.

Distribution of genotypes between patients and controls

Marker	Genotype	Patient	Control	OR (95 % CI)	P value
UCP2 I/D
	DD	149 (57.6 %)	94 (47.0 %)	Reference
	ID	70 (27.6 %)	82 (41.0 %)	0.5 (0.3–0.8)	0.003*
	II	38 (14.8 %)	24 (12.0 %)	1.3 (0.7–2.2)	0.4
	D	368 (71.6 %)	270 (67.5 %)	Reference
	I	146 (28.4 %)	130 (32.5 %)	1.2 (0.9–1.6)	0.2
Dominant model
	DD versus II + ID			1.2 (0.8–1.7)	0.2
Recessive model
	II versus ID + DD			0.7 (0.45–1.3)	0.4
Leptin-2548 G/A
	GG	90 (35.0 %)	82 (41.0 %)	Reference
	GA	99 (38.5 %)	92 (46.0 %)	1.2 (0.8–1.9)	0.39
	AA	68 (26.5 %)	26 (13.0 %)	2.0 (1.2–3.3)	0.007*
	G	279 (54.3 %)	256 (64.0 %)	Reference
	A	235 (45.7 %)	144 (36.0 %)	1.5 (1.1–1.9)	0.003*
Dominant model
	GG versus GA + AA			0.27 (0.1–0.4)	0.001*
Recessive model
	AA vs. GG + GA			1.8 (1.1–2.9)	0.012*
Ghrelin Arg51Gln
	GG	164 (63.8 %)	142 (71.0 %)	Reference
	GA	75 (29.2 %)	53 (26.5 %)	1.2 (0.8–1.8)	0.33
	AA	18 (7.0 %)	5 (2.5 %)	3.4 (1.2–7.5)	0.02*
	G	403 (78.4 %)	337 (84.3 %)	Reference
	A	111 (21.6 %)	63 (15.7 %)	1.6 (1.1–2.1)	0.02*
Dominant model
	GG versus GA + AA			0.7 (0.4–1.0)	0.1
Recessive model
	AA versus GG + GA			2.9 (1.0–8.0)	0.003*
Ghrelin Leu72Met
	CC	178 (69.3 %)	141 (70.5 %)	Reference
	CA	51 (19.8 %)	50 (25.0 %)	0.8 (0.5–1.3)	0.2
	AA	28 (10.9 %)	9 (4.5 %)	2.5 (1.2–5.4)	0.02*
	C	407 (79.2 %)	332 (83.0 %)	Reference
	A	107 (20.8 %)	68 (17.0 %)	1.3 (0.9–1.8)	0.15
Dominant model
	CC versus CA + AA			1.07 (0.7–1.6)	0.75
Recessive model
	AA versus CC + CA			2.58 (1.2–5.6)	0.01*

Logistic regression analysis was used for comparing the genotypes