Genetic risk score for common obesity and anthropometry in Spanish schoolchildren

Endocrinol Diabetes Nutr (Engl Ed). 2023 Feb;70(2):107-114. doi: 10.1016/j.endien.2022.09.005. Epub 2023 Mar 1.

Abstract

IntroductionCommon or non-syndromic obesity is a complex polygenic trait conditioned by biallelic or single-base polymorphisms called SNPs (Single-Nucleotide Polymorphisms) that present an additive effect and act synergistically. Most genotype-obese phenotype association studies include body mass index (BMI) or waist-to-height ratio (WtHR), and very few introduce a broad anthropometric profile. ObjectiveTo verify whether a genetic risk score (GRS) developed from 10 SNPs is associated with the obesity phenotype assessed from anthropometric measures indicative of excess weight, adiposity and fat distribution. Material and methodsA series of 438 Spanish schoolchildren (6-16 years old) were evaluated anthropometrically (weight, height, waist circumference, skinfold thickness, BMI, WtHR, body fat percentage [%BF]). Ten SNPs were genotyped from saliva samples, generating a GRS for obesity, establishing genotype-phenotype association. ResultsSchoolchildren categorised as obese by BMI, ICT and %BF had higher GRS than their non-obese peers. The prevalence of overweight and adiposity was higher in subjects with a GRS above the median. Similarly, between 11 and 16 years of age, all anthropometric variables presented higher averages. ConclusionsGRS estimated from the 10 SNPs can be a diagnostic tool for the potential risk of obesity in Spanish schoolchildren and could be useful from the preventive perspective.

Keywords: Body mass index; Childhood obesity; Obesidad infantil; Perímetro de la cintura; Pliegues adiposos; Polimorfismos de un solo nucleótido; SNP; Single-nucleotide polymorphisms; Skinfold thickness; Waist circumference; Waist-height index; Índice cintura talla; Índice de masa corporal.

MeSH terms

  • Anthropometry
  • Body Mass Index
  • Humans
  • Obesity* / diagnosis
  • Obesity* / epidemiology
  • Obesity* / genetics
  • Overweight* / epidemiology
  • Risk Factors