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. 2016 Aug 4;22:2742–2750. doi: 10.12659/MSM.896232

Table 5.

Cohort 2: Association between BMI and rs4918 polymorphism. A: genotypes (CC, CG, GG), B: distribution of the G allele.

A Genotype BMI (kg/m2) Total
0–25 26–29 30–39 40 or more
Patients without diabetes CC 13 22 22 0 57
CG 16 20 4 0 40
GG 5 4 2 1 12
Total 34 46 28 1 109
Chi square: 19.671, p=0.003
Linear-by-linear association value: 4.416, p=0.036
Patients with diabetes CC 7 8 9 0 24
CG 6 5 9 1 21
GG 1 2 0 0 3
Total 14 15 18 1 48
Chi square: 4.201, p=0.649
Linear-by-linear association value: 0.011, p=0.918
All patients in cohort 2 CC 20 30 31 0 81
CG 22 25 13 1 61
GG 6 6 2 1 15
Total 48 61 46 2 157
Chi square: 11.479, p=0.075
Linear-by-linear association value: 3.314, p=0.075
B Allele BMI (kg/m2) Total
0–25 26–29 30–39 40 or more
Patients without diabetes G 21 24 26 1 52
Non-G 13 22 22 0 57
Total 34 46 28 1 109
Chi square: 11.908, p=0.008
Linear-by-linear association value: 7.420, p=0.006
Patients with diabetes G 7 7 9 1 24
Non-G 7 8 9 0 24
Total 14 15 18 1 48
Chi square: 1.067, p=0.785
Linear-by-linear association value: 0.111, p=0.739
All patients in cohort 2 G 28 31 15 2 76
Non-G 20 30 31 0 81
Total 48 61 46 2 157
Chi square: 11.479, p=0.075
Linear-by-linear association value: 3.314 p=0.075

Mantel-Haenszel statistics