Skip to main content
. 2018 Mar 15;11:181. doi: 10.1186/s13104-018-3288-7

Table 3.

Logistic regression of distributions and genetic models of each SNP’s genotype of CDKAL1 and CDKN2A/B

GDM, n (%) None GDM, n (%) P value OR (95% CI)
rs7754840 (CDKAL1)
Co-dominant model G/G 3 (6.4) 8 (15.7) 1
C/G 26 (55.3) 23 (45.1) 0.122 3.014 (0.714–12.731)
C/C 18 (38.3) 20 (39.2) 0.236 2.400 (0.551–10.457)
 Dominant model CG + CC 44 (93.6) 43 (84.3) 0.145 2.729 (0.678–10.976)
GG 3 (6.4) 8 (15.7) 1
 Recessive model CC 18 (38.3) 20 (39.2) 0.926 0.962 (0.426–2.170)
GG + CG 29 (61.7) 31 (60.8) 1
Over-dominant model CG 26 (55.3) 23 (45.1) 0.312 1.507 (0.679–3.344)
GG + CC 21 (44.7) 28 (54.9) 1
rs10811661(CDKN2A/B)
Co-dominant model CC 38 (80.9) 38 (74.5) 1
CT 7 (14.9) 10 (19.6) 0.510 0.700 (0.241–2.031)
TT 2 (4.3) 3 (5.9) 0.665 0.667 (0.105–4.218)
 Dominant model CT + TT 9 (19.1) 13 (25.5) 0.452 0.692 (0.265–1.811)
CC 38 (80.9) 38 (74.5) 1
 Recessive model TT 2 (4.3) 3 (5.9) 0.715 0.711 (0.114–4.454)
CC + CT 45 (95.7) 48 (94.1) 1
Over-dominant model CT 7 (14.9) 10 (19.6) 0.538 0.718 (0.249–2.070)
CC + TT 40 (85.1) 41 (80.4) 1