Personalized polygenic profiling based on the genetic architecture of lipid metabolism in the Russian population - Takeaways - MDSpire

Personalized polygenic profiling based on the genetic architecture of lipid metabolism in the Russian population

  • By

  • Aleksandra Mamchur

  • Maria Bruttan

  • Veronika Daniel

  • Daria Kashtanova

  • Elena Zelenova

  • Irina Dzhumaniiazova

  • Mikhail Ivanov

  • Lorena Matkava

  • Olga Blinova

  • Sergey Mitrofanov

  • Liliya Golubnikova

  • Naiana Kumar

  • Ekaterina Maralova

  • Andrey Shingaliev

  • Marat Ezhov

  • Aleksey Meshkov

  • Uliana Chubykina

  • Olga Pogorelova

  • Mariia Tripoten

  • Tatyana Balahonova

  • Alexandra Viskova

  • Madina Komarova

  • Timur Gurtsiev

  • Natalia Gomyranova

  • Yulia Vorobeva

  • Anastasia Hotuleva

  • Maria Kolyaskina

  • Vladimir Yudin

  • Valentin Makarov

  • Anton Keskinov

  • Lyudmila Kuzmina

  • Sergey Boytsov

  • Sergey Yudin

  • Veronika Skvortsova

  • June 2, 2026

  • 0 min

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  • 1

    The study investigates the genetic architecture of lipid metabolism in the Russian population, focusing on cholesterol levels and cardiovascular disease risk.

  • 2

    Genome-wide association studies identified key genetic variants associated with total cholesterol, LDL-C, and HDL-C levels in a sample of 8,732 individuals.

  • 3

    Polygenic score models were developed to predict lipid levels based on genetic data, age, and BMI, facilitating personalized cardiovascular disease risk assessment.

  • 4

    Men and women exhibited differences in genetic predictors for cholesterol levels, with specific variants affecting women only.

  • 5

    The findings emphasize the need for population-specific polygenic risk models to improve the management of dyslipidemia and cardiovascular disease.

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