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

Share

Objective:

To examine the genetic architecture of lipid metabolism and develop polygenic score models for predicting lipid levels in the Russian population, emphasizing its significance in cardiovascular disease risk.

Key Findings:
  • Total cholesterol and LDL-C were associated with variants in genes such as HMGCR, APOE, and SMARCA4, with significant implications for cardiovascular health.
  • HDL-C was associated with variants in LPL, ALDH1A2, and CETP genes.
  • Men and women exhibited differences in genetic predictors of lipid levels, particularly with variants in SMARCA4 and LDLR genes affecting women only, highlighting the need for gender-specific approaches.
Interpretation:

The personalized polygenic profiling approach allows for lifelong cardiovascular disease risk assessment by considering age and BMI, which are critical factors in individual risk profiles.

Limitations:
  • The study focused on a specific ethnic population, which may limit the generalizability of the findings.
  • Exclusion of individuals on lipid-lowering therapy may affect the applicability of the results and introduce bias.
Conclusion:

The study provides a framework for personalized strategies in the prevention of metabolic disorders based on genetic profiling, which could significantly impact public health.

Original Source(s)

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

Related Content

FDA Monthly Preview: Key June Decisions to Watch

Several FDA decisions across multiple specialties are expected this month.

Combined prognostic value of lipoprotein(a) and an integrated inflammatory-lipid index in patients with acute coronary syndrome and type 2 diabetes mellitus

Monitoring Blood Pressure Outside of Your Doctor’s Office