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Using a Polygenic Score to Predict the Risk of Developing Primary Osteoporosis
Yalaev, Bulat, Tyurin, Anton, Prokopenko, Inga, Karunas, Aleksandra, Khusnutdinova, Elza, Khusainova, Rita (2022)
. Using the polygenic score (PGS) approach, we combined the effects of bone mineral density (BMD) DNA loci
Polygenic Score Approach to Predicting Risk of Metabolic Syndrome
Timasheva, Yanina, Kochetova, Olga, Balkhiyarova, Zhanna, Korytina, Gulnaz, Prokopenko, Inga, Nouwen, Arie (2025)
, we evaluated the prognostic capability of a polygenic score model for MetS risk, both independently
Integrating Common Risk Factors with Polygenic Scores Improves the Prediction of Type 2 Diabetes
Timasheva, Y., Balkhiyarova, Z., Avzaletdinova, D., Rassoleeva, I., Morugova, T.V., Korytina, G., Prokopenko, I., Kochetova, O. (2023)
ability of the model containing polygenic scores for the variants associated with T2D in our dataset
Evaluation of Polygenic Risk Score for Prediction of Childhood Onset and Severity of Asthma
Savelieva, Olga, Karunas, Alexandra, Prokopenko, Inga, Balkhiyarova, Zhanna, Gilyazova, Irina, Khidiyatova, Irina, Khusnutdinova, Elza (2025)
by genetic variability. The polygenic score (PGS) approach enables an individual risk of asthma
A Combined Effect of Polygenic Scores and Environmental Factors on Individual Differences in Depression Level
Kazantseva, Anastasiya, Davydova, Yuliya, Enikeeva, Renata, Mustafin, Rustam, Malykh, Sergey, Lobaskova, Marina, Kanapin, Alexander, Prokopenko, Inga, Khusnutdinova, Elza (2023)
The risk of depression could be evaluated through its multifactorial nature using the polygenic
ПОЛИГЕННЫЙ АНАЛИЗ НАСЛЕДСТВЕННОЙ ПРЕДРАСПОЛОЖЕННОСТИ К ЭССЕНЦИАЛЬНОЙ ГИПЕРТЕНЗИИ
POLYGENIC ANALYSIS OF GENETIC SUSCEPTIBILITY TO ESSENTIAL HYPERTENSION
ТИМАШЕВА, Я.Р., ГЕРАСИМОВА, К.А., ТУКТАРОВА, И.А., ЭРДМАН, В.В., НАСИБУЛЛИН, Т.Р., TIMASHEVA, Y.R., GERASIMOVA, K.A., TUKTAROVA, I.A., ERDMAN, V.V., NASIBULLIN, T.R. (2022)
POLYGENIC ANALYSIS OF GENETIC SUSCEPTIBILITY TO ESSENTIAL HYPERTENSION
MicroRNA Processing Pathway-Based Polygenic Score for Clear Cell Renal Cell Carcinoma in the Volga-Ural Region Populations of Eurasian Continent
Ivanova, E., Gilyazova, I., Pavlov, V., Izmailov, A., Gimalova, G., Karunas, A., Prokopenko, I., Khusnutdinova, E. (2022)
The polygenic scores (PGSs) are developed to help clinicians in distinguishing individuals at high
Association of Polymorphic Loci of Long Noncoding RNA Genes (H19, MEG3, MALAT1, LINC00305, LINC00261, LINC02227, and CDKN2B-AS1) with Chronic Obstructive Pulmonary Disease
Korytina, G.F., Akhmadishina, L.Z., Markelov, V.A., Nasibullin, T.R., Aznabaeva, Y.G., Kochetova, O.V., Khusnutdinova, N.N., Larkina, A.P., Zagidullin, N. Sh., Victorova, T.V. (2024)
(rs4977574). Polygenic analysis has made it possible to identify informative gene–gene combinations
Polygenic Analysis of Cytokine and Inflammatory Gene Polymorphisms in Chronic Obstructive Pulmonary Disease
Korytina, G.F., Aznabaeva, Y.G., Kochetova, O.V., Nasibullin, T.R., Akhmadishina, L.Z., Khusnutdinova, N.N., Zagidullin, N. Sh., Victorova, T.V. (2023)
.72). The receiver operating characteristic (ROC) analysis resulted in an area under the curve (AUC) of 0.895 (95%CI
Полигенный анализ полногеномных маркеров рассеянного склероза
Genome-wide polygenic analysis of multiple sclerosis markers
Timasheva, Y.R., Nasibullin, T.R., Tuktarova, I.A., Erdman, V.V., Galiullin, T.R., Zaplakhova, O.V., Bakhtiiarova, K.Z., Тимашева, Я.Р., Насибуллин, Т.Р., Туктарова, И.А., Эрдман, В.В., Галиуллин, Т.Р., Заплахова, О.В., Бахтиярова, К. (2021)
Objective: to perform a genome-wide polygenic analysis of multiple sclerosis (MS) markers

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