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作 者:席波[1] 张美仙[1] 沈玥[3] 赵小元[2] 王兴宇[3] 米杰[1]
机构地区:[1]北京协和医学院研究生院,100730 [2]首都儿科研究所流行病室 [3]北京高血压联盟研究所
出 处:《中华流行病学杂志》2010年第7期737-741,共5页Chinese Journal of Epidemiology
基 金:国家自然科学基金(30872165);北京市科技计划重点项目(H030930030031,D08050700320000);北京市卫生系统高层次卫生技术领军人才基金(2009-1-08)
摘 要:目的 探讨体脂和肥胖相关基因(FTO)多态性与生活行为因素的交互作用对学龄儿童肥胖的影响.方法 从"北京市儿童青少年代谢综合征(BCAMS)研究"中选取6~18岁学龄儿童3503名,分为肥胖组(1229名)和非肥胖组(2274名).进行问卷调查、静脉采血和基因型检测.结果 采用因子分析方法,共提取蛋白类食物、果蔬、烟酒、静态生活方式和业余体育活动5个公因子.logistic回归分析显示,以FTO基因与蛋白类食物交互作用为例,当两因素共同存在时,其中归因于交互作用的危险度占19.16%.该位点多态性与果蔬、静态生活方式和业余体育活动的交互作用归因百分比则依次为5.97%、19.62%和12.43%;该位点与烟酒可能不存在交互作用.结论 在中国学龄儿童中,蛋白类食物、果蔬、静态生活方式和业余体育活动等生活行为因素可能修饰FTO基因与肥胖的关系.但仍需要大规模、前瞻性的干预性研究,验证FTO基因与环境因素的交互作用对儿童肥胖的真实影响.Objective To investigate how the interactions between fat mass- and obesityassociated (FTO) gene rs9939609 variants and daily-life related behavioral factors would influence the risk of obesity among the Chinese school-aged children. Methods 3503 school-aged children were selected from the Beijing Child and Adolescent Metabolic Syndrome (BCAMS) Study, and divided into obese children (n=1229) and non-obese children (n=2274). Venipuncture blood test,genotyping and questionnaire were performed. Results Five common factors including protein foods, tobacco & alcohol, vegetables & fruits, sedentary behavior and physical exercise in spare time were extracted with factor analysis methodology. Data from logistic regression analysis showed that taking the interaction of rs9939609 variant with protein foods as an example, the risk of interaction accounted for 19.16% when both factors existing simultaneously. Similarly, the interactions of this SNP with vegetables & fruits, sedentary behavior and physical exercise in spare time appeared to be 5.97%, 19.62% and 12.43% respectively; however there might not be interaction between tobacco,alcohol and the SNP in the Chinese children. Conclusion Protein foods, vegetables & fruits,sedentary behavior and physical exercise might modify the effects of FTO rs9939609 variant on the risk of obesity in Chinese school-aged children. However, large-scale, prospective studies with detailed information on related behavioral factors would be ideal models for identifying the interactions between genes and environment.
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