Table 6.

Using logistic regression to analyze different types of interactions

Variable 1	Variable 2	OR (95% CI)	P
SNP-environment interaction
rs12970134	WC (male ≥90 cm, female ≥80 cm)
GG	No	1	–
GG	Yes	42.577 (28.714–63.132)	<  0.001
GA + AA	No	1.07 (0.758–1.51)	0.701
GA + AA	Yes	95.096 (47.260–191.351)	<  0.001
Haplotype-environment interaction
T-T-A	WC (male ≥90 cm, female ≥80 cm)
Non-carriers	No	1	–
Non-carriers	Yes	51.371 (40.001–65.972)	<  0.001
Carriers	No	0.503 (0.246–1.027)	0.059
Carriers	Yes	51.533 (12.131–218.912)	<  0.001

P, adjusting for sex, age, smoking, drinking, hypertension, hyperlipidemia, and impaired fasting glucose. T-T-A is combined with MC4R rs17782313-rs476828-rs12970134