Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents

Rector Arya, Vidya S. Farook, Sharon P. Fowler, Sobha Puppala, Geetha Chittoor, Roy G. Resendez, Srinivas Mummidi, Jaira M. Vanamala, Laura Almasy, Joanne E. Curran, Anthony G. Comuzzie, Donna M. Lehman, Christopher P. Jenkinson, Jane L. Lynch, Ralph A. DeFronzo, John Blangero, Daniel E. Hale, Ravindranath Duggirala, Vincent P. Diego

Research output: Contribution to journalArticle

Abstract

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), homeostasis model of assessment—insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), systolic (SBP) and diastolic (DBP) blood pressure, and number of metabolic syndrome components (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 (Reduced G × E model vs. Constrained 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.

Original languageEnglish (US)
Pages (from-to)378-393
Number of pages16
JournalGenetic Epidemiology
Volume42
Issue number4
DOIs
StatePublished - Jun 2018

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Physical Fitness
Waist Circumference
Fasting
Body Mass Index
Homeostasis
Fats
Insulin
Genetic Models
HDL Cholesterol
Triglycerides
Blood Pressure

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Genetics(clinical)

Cite this

Arya, Rector ; Farook, Vidya S. ; Fowler, Sharon P. ; Puppala, Sobha ; Chittoor, Geetha ; Resendez, Roy G. ; Mummidi, Srinivas ; Vanamala, Jaira M. ; Almasy, Laura ; Curran, Joanne E. ; Comuzzie, Anthony G. ; Lehman, Donna M. ; Jenkinson, Christopher P. ; Lynch, Jane L. ; DeFronzo, Ralph A. ; Blangero, John ; Hale, Daniel E. ; Duggirala, Ravindranath ; Diego, Vincent P. / Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents. In: Genetic Epidemiology. 2018 ; Vol. 42, No. 4. pp. 378-393.
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abstract = "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), homeostasis model of assessment—insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), systolic (SBP) and diastolic (DBP) blood pressure, and number of metabolic syndrome components (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 (Reduced G × E model vs. Constrained 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.",
author = "Rector Arya and Farook, {Vidya S.} and Fowler, {Sharon P.} and Sobha Puppala and Geetha Chittoor and Resendez, {Roy G.} and Srinivas Mummidi and Vanamala, {Jaira M.} and Laura Almasy and Curran, {Joanne E.} and Comuzzie, {Anthony G.} and Lehman, {Donna M.} and Jenkinson, {Christopher P.} and Lynch, {Jane L.} and DeFronzo, {Ralph A.} and John Blangero and Hale, {Daniel E.} and Ravindranath Duggirala and Diego, {Vincent P.}",
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Arya, R, Farook, VS, Fowler, SP, Puppala, S, Chittoor, G, Resendez, RG, Mummidi, S, Vanamala, JM, Almasy, L, Curran, JE, Comuzzie, AG, Lehman, DM, Jenkinson, CP, Lynch, JL, DeFronzo, RA, Blangero, J, Hale, DE, Duggirala, R & Diego, VP 2018, 'Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents', Genetic Epidemiology, vol. 42, no. 4, pp. 378-393. https://doi.org/10.1002/gepi.22114

Genetic and environmental (physical fitness and sedentary activity) interaction effects on cardiometabolic risk factors in Mexican American children and adolescents. / Arya, Rector; Farook, Vidya S.; Fowler, Sharon P.; Puppala, Sobha; Chittoor, Geetha; Resendez, Roy G.; Mummidi, Srinivas; Vanamala, Jaira M.; Almasy, Laura; Curran, Joanne E.; Comuzzie, Anthony G.; Lehman, Donna M.; Jenkinson, Christopher P.; Lynch, Jane L.; DeFronzo, Ralph A.; Blangero, John; Hale, Daniel E.; Duggirala, Ravindranath; Diego, Vincent P.

In: Genetic Epidemiology, Vol. 42, No. 4, 06.2018, p. 378-393.

Research output: Contribution to journalArticle

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AU - Arya, Rector

AU - Farook, Vidya S.

AU - Fowler, Sharon P.

AU - Puppala, Sobha

AU - Chittoor, Geetha

AU - Resendez, Roy G.

AU - Mummidi, Srinivas

AU - Vanamala, Jaira M.

AU - Almasy, Laura

AU - Curran, Joanne E.

AU - Comuzzie, Anthony G.

AU - Lehman, Donna M.

AU - Jenkinson, Christopher P.

AU - Lynch, Jane L.

AU - DeFronzo, Ralph A.

AU - Blangero, John

AU - Hale, Daniel E.

AU - Duggirala, Ravindranath

AU - Diego, Vincent P.

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N2 - 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), homeostasis model of assessment—insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), systolic (SBP) and diastolic (DBP) blood pressure, and number of metabolic syndrome components (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 (Reduced G × E model vs. Constrained 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.

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