Кардиоваскулярная терапия и профилактика (Dec 2023)

Search and replication of associations of genome variants with lipid levels in a Russian sample

  • M. Zaichenoka,
  • A. I. Ershova,
  • A. V. Kiseleva,
  • E. A. Sotnikova,
  • Yu. V. Vyatkin,
  • А. A. Zharikova,
  • M. S. Pokrovskaya,
  • S. A. Shalnova,
  • V. E. Ramensky,
  • A. N. Meshkov,
  • O. M. Drapkina

DOI
https://doi.org/10.15829/1728-8800-2023-3871
Journal volume & issue
Vol. 22, no. 12

Abstract

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Aim. To search associations for lipid profile parameters (lowand highdensity lipoprotein cholesterol levels, triglycerides and total cholesterol) in population samples from two Russian regions and make a replication analysis of a previously published genome-wide association study (GWA study, GWAS) for residents of three other Russian regions.Material and methods. The study included representative samples from the Vologda (n=689) and Ivanovo (n=1675) regions collected for the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study. We assessed lipid profile parameters and performed a targeted sequencing. A linear regression model adjusted for sex, age, and statin use was used to assess the associations of genomic variants with lipid profiles. The work replicated the results of a study by Usoltsev D, et al., 2023, carried out on population samples of individuals from St.Petersburg, Orenburg and Samara regions.Results. We identified variants for which associations with lipid parameters had previously been identified in a Russian sample. The proportion of replicated variants was 89% and 92% for the samples from the Vologda and Ivanovo regions, respectively. The directions of effects of all replicated variants in the previously published study (samples from the Orenburg and Samara regions and St. Petersburg) and in both studied samples (samples from the Ivanovo and Vologda regions) coincide.Conclusion. The results of the search for associations with lipid parameters in different Russian samples are consistent with each other.

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