An adult-based insulin resistance genetic risk score associates with insulin resistance, metabolic traits and altered fat distribution in Danish children and adolescents who are overweight or obese

Diabetologia(2018)

Cited 12|Views21
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Abstract
Aims/hypothesis A genetic risk score (GRS) consisting of 53 insulin resistance variants (GRS 53 ) was recently demonstrated to associate with insulin resistance in adults. We speculated that the GRS 53 might already associate with insulin resistance during childhood, and we therefore aimed to investigate this in populations of Danish children and adolescents. Furthermore, we aimed to address whether the GRS associates with components of the metabolic syndrome and altered body composition in children and adolescents. Methods We examined a total of 689 children and adolescents who were overweight or obese and 675 children and adolescents from a population-based study. Anthropometric data, dual-energy x-ray absorptiometry scans, BP, fasting plasma glucose, fasting serum insulin and fasting plasma lipid measurements were obtained, and HOMA-IR was calculated. The GRS 53 was examined for association with metabolic traits in children by linear regressions using an additive genetic model. Results In overweight/obese children and adolescents, the GRS 53 associated with higher HOMA-IR (β = 0.109 ± 0.050 (SE); p = 2.73 × 10 −2 ), fasting plasma glucose (β = 0.010 ± 0.005 mmol/l; p = 2.51 × 10 −2 ) and systolic BP SD score (β = 0.026 ± 0.012; p = 3.32 × 10 −2 ) as well as lower HDL-cholesterol (β = −0.008 ± 0.003 mmol/l; p = 1.23 × 10 −3 ), total fat-mass percentage (β = −0.143 ± 0.054%; p = 9.15 × 10 −3 ) and fat-mass percentage in the legs (β = −0.197 ± 0.055%; p = 4.09 × 10 −4 ). In the population-based sample of children, the GRS 53 only associated with lower HDL-cholesterol concentrations (β = −0.007 ± 0.003 mmol/l; p = 1.79 × 10 −2 ). Conclusions/interpretation An adult-based GRS comprising 53 insulin resistance susceptibility SNPs associates with insulin resistance, markers of the metabolic syndrome and altered fat distribution in a sample of Danish children and adolescents who were overweight or obese.
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Key words
Epidemiology,Genetic association,Genetic risk score,Genetics,Insulin resistance,Insulin sensitivity,Obesity,Paediatric obesity,Weight regulation
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