Published in:
Open Access 01-08-2018 | Article
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
Published in: Diabetologia | Issue 8/2018
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Aims/hypothesis
A genetic risk score (GRS) consisting of 53 insulin resistance variants (GRS53) was recently demonstrated to associate with insulin resistance in adults. We speculated that the GRS53 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 GRS53 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 GRS53 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 GRS53 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.