Кардиоваскулярная терапия и профилактика (Nov 2023)

Validation of genetic risk scores for obesity on a sample of the population of Russian regions

  • A. V. Kiseleva,
  • A. G. Soplenkova,
  • V. A. Kutsenko,
  • E. A. Sotnikova,
  • Yu. V. Vyatkin,
  • А. A. Zharikova,
  • A. I. Ershova,
  • M. Zaichenoka,
  • V. E. Ramensky,
  • O. P. Skirko,
  • S. А. Smetnev,
  • O. V. Kopylova,
  • А. S. Limonova,
  • A. V. Blokhina,
  • M. S. Pokrovskaya,
  • S. A. Shalnova,
  • A. N. Meshkov,
  • O. M. Drapkina

DOI
https://doi.org/10.15829/1728-8800-2023-3755
Journal volume & issue
Vol. 22, no. 10

Abstract

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Aim. To validate and evaluate the accuracy of 15 genetic risk scores (GRSs) for obesity, created in populations of European origin in the sample of two European Russia regions. Material and methods. Genetic testing has been performed using next generation sequencing on a sample from the Russian population (n=1179). The study included 15 GRS associated with body mass index (BMI) or waist-to-hip ratio adjusted for BMI (WHRadjBMI).Results. The predictive power of 8 out of 9 GRSs for obesity based on BMI remains the same for the Russian population. The predictive power of 6 GRSs for obesity based on WHRadjBMI is lower in the Russian population than in the reference sample. GRS reproducibility increases with the size of initial samples and number of variants included in the GRS increase. The use of GRSs for obesity based on BMI in the Russian population created on European populations is justified.Conclusion. For the first time in Russia, 15 obesity GRSs developed in European populations have been validated. The data obtained on the effectiveness of the considered GRS can be used in the future to improve the obesity prediction and prevention in Russia.

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