Developing Blood Lipid Risk Scores for Atherosclerosis
Author Information
Author(s): Marija Zaicenoka, Alexandra I. Ershova, Anna V. Kiseleva, Anastasia V. Blokhina, Vladimir A. Kutsenko, Evgeniia A. Sotnikova, Anastasia A. Zharikova, Yuri V. Vyatkin, Maria S. Pokrovskaya, Svetlana A. Shalnova, Vasily E. Ramensky, Alexey N. Meshkov, Oxana M. Drapkina
Primary Institution: National Medical Research Center for Therapy and Preventive Medicine, Ministry of Healthcare of the Russian Federation
Hypothesis
Can polygenic risk scores (PRS) for blood lipids be effectively developed and applied to predict atherosclerosis in the Russian population?
Conclusion
The study shows that fine-tuning PRS using specific methodologies improves their predictive performance for atherosclerosis risk.
Supporting Evidence
- 56 PRS scales related to four lipid phenotypes were constructed.
- An additional R2 increase of 2–4% was achieved compared to previous results.
- PRS for total cholesterol, LDL-C, and triglycerides were positively correlated with atherosclerosis ultrasound parameters.
Takeaway
Researchers created scores to predict heart disease risk based on blood fats, and found that using advanced methods made these scores better.
Methodology
The study used two population samples from Ivanovo and Vologda regions, applying three methods to develop PRS based on GWAS results.
Potential Biases
Potential bias due to the limited transferability of PRS across different populations.
Limitations
The study had a smaller sample size than typically used for PRS development and used a target panel design that may have omitted some variants.
Participant Demographics
Participants were primarily Russian, with a median age of 50 years, and included both males and females.
Statistical Information
P-Value
p<0.001
Confidence Interval
[95% CI, 0.25–0.37]
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website