ObjectiveThis study aimed to identify the environmental factors of obesity among primary and middle school students in Guangzhou,China;to estimate the effect of genetic variations in FTO and IRX3 on obesity in children and adolescents;and to explore the interactions between genes and environmental factors.MethodsBase on the regular medical examinations for elementary and middle school students in Guangzhou,two case-control studies were conducted to analyze the impact of FTO and IRX3 genetic variants and environmental factors on childhood and adolescent obesity.Overweight/obesity and abdominal obesity were screened from 3 grades(grade 2 of primary school,grade 1 of junior and senior high school)students in 39 primary and middle schools;Questionnarie was used to collect the information on general demographic characteristics,eating habits,exercise and lifestyle.Bioinformatics databases,genetic variation prediction tools,and literature were used comprehensively to selected potential functional obesity-related genetic variants;Taq Man real-time PCR was used to performe genotyping.Hardy-Weinberg equilibrium was tested by χ2 test.Unconditional Logistic regression was used to estimate the effect of each environmental factors and genetic variation on obesity;Sequence association tests(SKAT)and SKAT-O were used to explore the combined effect of low-frequency variations;Genetic risk score(GRS)was used to analysis the cumulative effect of risk alleles;Logistic regression models and nonlinear mixed effect models were used to explor gene–environment multiplicative interaction and additive interaction respectively.Data analyses were performed using SAS 9.4 and R 2.3.5.Results(1)A total of 2059 overweight/obesity cases and 2727 controls were included.Environmental factor analysis showed weekday screen time ≥2h/day(OR=1.29,95%CI=1.10~1.50),good appetite(OR=1.48,95%CI= 1.32~1.66),sugar-sweetened beverages ≥500ml(OR=1.19,95%CI=1.05~1.36)positively associated with overweight/obesity;sleep time ≥8h/day(OR=0.76,95%CI= 0.66~0.87)and meal speed ≥10min(OR=0.74,95%CI=0.62~0.89)negatively associated with overweight/obesity.FTOrs16952522,rs9939609 increased the risk of overweight/obesity significantly.Under the additive model,the risk of overweight/obesity increased by approximately 33% for each additional risk allele in rs16952522 or rs9939609 after adjusting gender,grade and other factors.Genetic risk score analysis showed that the risk of overweight/obesity was significantly increased in those with 1,2 and ≥3 scores compared with 0 scores(OR=1.33~1.62,P<0.05).We did not find the interaction between genetic variants and environmental factors for overweight and obesity.(2)There were 1266 abdominal obesity cases and 1381 controls.Weekday screen time ≥2h/day(OR=1.38,95%CI=1.11~1.71),good appetite(OR=1.68,95%CI=1.42~1.98),and sugar-sweetened beverages ≥500ml/ week(OR=1.27,95%CI=1.06~1.53)positively associated with abdominal obesity;moderate-to-vigorous exercise ≥60min/day(OR=0.78,95%CI= 1.61~0.99)negatively associated with abdominal obesity.After adjusting gender,grade,and other factors,the risk of abdominal obesity increased 1.39 times(OR=1.39,95%CI=1.15~1.67)and 1.34 times(OR=1.34,95%CI=1.14~1.57)for each additional risk allele in FTOrs16952522 and rs9939609 under the additive model.Compared with no risk allele carriers,the risk odds for abdominal obesity were 1.35(1.09~1.67)and 2.02(1.13~3.61)for those with 2 and ≥3 genetic risk scores,respectively.Genetic risk scores had additive interactions with appetite for abdominal obesity(Padd,Padd-FDR <0.05).Conclusions Long screens time,good appetite,and excessive consumption of sugar-sweetened beverages are risk factors for overweight/obesity and abdominal obesity among primary and middle school students in Guangzhou;adequate sleep and slow meal speed are protective factors for overweight/obesity;moderate-to-vigorous exercise is protective factor for abdominal obesity.FTOrs16952522 and rs9939609 associate with childhood and adolescent overweight/obesity and abdominal obesity.The interaction between these variants and appetite can increase the risk of abdominal obesity. |