Table 2. Statistical data of the SNPs' associations with indices of insulin release and ranking of the indices according to their lsn.

	MTNR1B rs10830963			HHEX rs7923837			CDKAL1 rs7754840			TCF7L2 rs7903146			WFS1 rs10010131			KCNQ1 rs151290
Parameter	p	1-β	lsn (rank)	p	1-β	lsn (rank)	p	1-β	lsn (rank)	p	1-β	lsn (rank)	p	1-β	lsn (rank)	p	1-β	lsn (rank)
HOMA-β	<0.0001	0.99	345 (10)	0.4	0.22	4222 (12)	0.9	0.07	34337 (12)	0.3	0.30	2938 (7)	0.3	0.30	2923 (11)	0.9	0.06	42551 (12)
Insulin 30 min	<0.0001	1.00	196 (5)	0.0010	0.92	587 (11)	0.0056	0.83	779 (1)	0.4	0.22	4127 (10)	0.2	0.38	2234 (9)	0.0088	0.79	852 (6)
C-Peptide 30 min	<0.0001	1.00	241 (8)	0.0005	0.95	536 (9)	0.2	0.37	2289 (8)	0.4	0.20	4800 (11)	0.0312	0.65	1164 (2)	0.0022	0.89	657 (1)
IGI1	<0.0001	1.00	201 (6)	0.0002	0.96	483 (6)	0.1	0.43	1914 (7)	0.2	0.36	2376 (4)	0.07	0.52	1537 (4)	0.0212	0.70	1046 (9)
IGI2	<0.0001	1.00	164 (2)	0.0005	0.95	527 (8)	0.0110	0.77	894 (3)	0.3	0.28	3134 (8)	0.1	0.42	2001 (8)	0.0063	0.82	797 (4)
DI oral	<0.0001	1.00	288 (9)	0.0008	0.93	568 (10)	0.1	0.48	1715 (6)	0.3	0.27	3285 (9)	0.2	0.38	2250 (10)	0.0278	0.67	1127 (11)
CIR	<0.0001	1.00	164 (2)	0.0001	0.98	447 (3)	0.07	0.54	1487 (5)	0.1	0.40	2098 (3)	0.1	0.45	1824 (5)	0.0234	0.69	1075 (10)
First-phase insulin secretion	<0.0001	1.00	208 (7)	0.0002	0.97	468 (5)	0.0134	0.75	936 (4)	0.4	0.19	4951 (12)	0.1	0.42	1976 (7)	0.0164	0.73	981 (7)
AUCInsulin(0-30)/AUCGlucose(0-30)	<0.0001	1.00	153 (1)	0.0001	0.97	456 (4)	0.0069	0.81	810 (2)	0.2	0.31	2808 (6)	0.1	0.45	1855 (6)	0.0066	0.82	803 (5)
AUCInsulin(0-120)/AUCGlucose(0-120)	0.0002	0.97	478 (12)	<0.0001	0.99	356 (2)	0.4	0.21	4465 (10)	0.05	0.58	1361 (2)	0.5	0.17	5549 (12)	0.0194	0.71	1023 (8)
AUCC-Peptide(0-30)/AUCGlucose(0-30)	<0.0001	1.00	180 (4)	0.0003	0.96	500 (7)	0.3	0.29	2993 (9)	0.2	0.33	2580 (5)	0.0266	0.67	1112 (1)	0.0033	0.87	706 (3)
AUCC-Peptide(0-120)/AUCGlucose(0-120)	0.0001	0.97	453 (11)	<0.0001	1.00	338 (1)	0.6	0.13	8127 (11)	0.0262	0.67	1109 (1)	0.0423	0.61	1276 (3)	0.0026	0.88	677 (2)

Seventeen subjects with calculated negative values were excluded (N = 1347). Prior to multiple linear regression analysis, all continuous variables were log_e-transformed to approximate normal distribution. In the multiple linear regression models, the insulin secretion parameter was chosen as dependent variable, the SNP genotype (additive inheritance model) as independent variable and gender, age, BMI, and OGTT-derived insulin sensitivity as confounding variables. AUC – area under the curve; BMI – body mass index; CIR – cleared insulin response; DI – disposition index; HOMA-B – homeostasis model assessment of beta-cell function; IGI – insulinogenic index; lsn – least significant number (sample size expected to be needed to achieve statistical significance); SNP – single nucleotide polymorphism.