Evidence map›Paper›PMID 36674502›Full record

ArticleInternational journal of molecular sciences2023

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

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

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  3. Article
  4. Review
  5. Evidence from genetic studies among rs2107538 variant in theSaudi journal of biological sciences · 2023
    Article
  6. Article
  7. Questions Regarding Variants inJournal of multidisciplinary healthcare · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Yanina TimashevaInstitute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-9918-6962
Zhanna BalkhiyarovaSection of Statistical Multi-Omics, Department of Clinical & Experimental Medicine, School of Biosciences & Medicine, University of Surrey, Guildford GU2 7XH, UK.
Diana AvzaletdinovaDepartment of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia.
Irina RassoleevaDepartment of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia.
Tatiana V MorugovaDepartment of Endocrinology, Bashkir State Medical University, 450008 Ufa, Russia.
Gulnaz KorytinaInstitute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-1695-5173
Inga ProkopenkoSection of Statistical Multi-Omics, Department of Clinical & Experimental Medicine, School of Biosciences & Medicine, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0003-1624-7457
Olga KochetovaInstitute of Biochemistry and Genetics, Ufa Federal Research Centre of Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-2944-4428
Bashkir State Medical University · RUUfa Institute of Chemistry · RUUniversity of Surrey · GB

Funding

Russian Science Foundation 22-25-00010The Ministry of Education and Science of the Russian Federation 075-15-2021-595
6 · The paper itself

Abstract

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 associations with T2D for the

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk Factorsgenetic predictorspolygenic scorestype 2 diabetes

Identifiers

PMID36674502
PMCPMC9866792
OpenAlexW4313559437

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.