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Article

Integrating Common Risk Factors with Polygenic Scores Improves the Prediction of Type 2 Diabetes.

International journal of molecular sciences - 4 Jan 2023

Timasheva Yanina, Balkhiyarova Zhanna, Avzaletdinova Diana, Rassoleeva Irina, Morugova Tatiana V, Korytina Gulnaz, Prokopenko Inga, Kochetova Olga

Abstract excerpt

We tested associations between 13 established genetic variants and type 2 diabetes (T2D) in 1371 study participants from the Volga-Ural region of the Eurasian continent, and evaluated the predictive ability of the model containing polygenic scores for the variants associated with T2D in our dataset, alone and in combination with other risk factors such as age and sex. Using logistic regression analysis, we found...

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Share to Diabetes Mellitus, Type 2
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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Share to Polymorphism, Single Nucleotide

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Source

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Identifiers

PMID: 36674502
DOI: 10.3390/ijms24020984
PMCID: PMC9866792

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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