Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents.
Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents.
复制标题
DOI：
10.1002/gepi.22114
复制
发表时间：
2018-06
影响因子：
2.1
通讯作者：
Diego VP
中科院分区：
文献类型：
--
作者：
Arya R;Farook VS;Fowler SP;Puppala S;Chittoor G;Resendez RG;Mummidi S;Vanamala J;Almasy L;Curran JE;Comuzzie AG;Lehman DM;Jenkinson CP;Lynch JL;DeFronzo RA;Blangero J;Hale DE;Duggirala R;Diego VP
Knowledge on genetic and environmental (G × E) interaction effects on cardiometabolic risk factors (CMRFs) in children is limited. The purpose of this study was to examine the impact of G × E interaction effects on CMRFs in Mexican American (MA) children (n = 617, ages 6–17 years). The environments examined were sedentary activity (SA), assessed by recalls from “yesterday” (SAy) and “usually” (SAu) and physical fitness (PF) assessed by Harvard PF scores (HPFS). CMRF data included body mass index (BMI), waist circumference (WC), fat mass (FM), fasting insulin (FI), insulin resistance (HOMA-IR), HDL-cholesterol (HDL-C), triglycerides (TG), systolic (SBP) and diastolic (DBP) blood pressure, and metabolic syndrome risk score (MSC). We examined potential G × E interaction in the phenotypic expression of CMRFs using variance component models and likelihood-based statistical inference. Significant G × SA interactions were identified for six CMRFs: BMI, WC, FI, HOMA-IR, MSC, and HDL, and significant G × HPFS interactions were observed for four CMRFs: BMI, WC, FM, and HOMA-IR. However, after correcting for multiple hypothesis testing, only WC × SAy, FM × SAy, and FI × SAu interactions became marginally significant. After correcting for multiple testing, most of CMRFs exhibited significant G × E interactions (Red. G × E model vs. Con. model). These findings provide evidence that genetic factors interact with SA and PF to influence variation in CMRFs, and underscore the need for better understanding of these relationships to develop strategies and interventions to effectively reduce or prevent cardiometabolic risk in children.
登录
查看更多内容
第四维中的策略和模型构建：基因型X年龄相互作用的无效模型，作为高斯固定随机过程。
影响因子：
2.9
作者：
Diego, VP;Almasy, L;Dyer, TD;Soler, JMP;Blangero, J
通讯作者：
Blangero, J
影响因子：
7.7
作者：
Hamilton, Marc T.;Hamilton, Deborah G.;Zderic, Theodore W.
通讯作者：
Zderic, Theodore W.
影响因子：
2.6
作者：
Choquet H;Meyre D
通讯作者：
Meyre D
影响因子：
16.2
作者：
Hojbjerre, Lise;Sonne, Mette Paulli;Stallknecht, Bente
通讯作者：
Stallknecht, Bente
影响因子：
7.1
作者：
Butte, Nancy F.;Cai, Guowen;Comuzzie, Anthony G.
通讯作者：
Comuzzie, Anthony G.