Evidence map›Paper›PMID 36077420›Full record

SynthesisInternational journal of molecular sciences2022

Using a Polygenic Score to Predict the Risk of Developing Primary Osteoporosis.

Bulat Yalaev, Anton Tyurin, Inga Prokopenko, Aleksandra Karunas, Elza Khusnutdinova, Rita Khusainova

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Epigenetic Patterns in Musculoskeletal Disease: Methylation ofCurrent issues in molecular biology · 2026
    Article
  2. Review
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  6. Hypomethylation of theInternational journal of molecular sciences · 2024
    Article
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  13. PeerJ · 2024
    Article
  14. Review
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

6 authors at 4 institutions in 2 countries.

Bulat YalaevLaboratory of Human Molecular Genetics, Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0003-4337-1736
Anton TyurinInternal Medicine Department, Bashkir State Medical University, 450008 Ufa, Russia.ORCID 0000-0002-0841-3024
Inga ProkopenkoSection of Statistical Multi-Omics, Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0003-1624-7457
Aleksandra KarunasLaboratory of Human Molecular Genetics, Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.
Elza KhusnutdinovaLaboratory of Human Molecular Genetics, Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.
Rita KhusainovaLaboratory of Human Molecular Genetics, Institute of Biochemistry and Genetics-Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-8643-850X
Ufa Institute of Chemistry · RUBashkir State Medical University · RUBashkir State University · RUUniversity of Surrey · GB

Funding

Goverment 075-15-2021-595grant in the field of science from the budget of the Republic of Bashkortostan for state support of young scientists NOC-GMU-2021
6 · The paper itself

Abstract

Osteoporosis (OP) is a multifactorial bone disease belonging to the metabolic osteopathies group. Using the polygenic score (PGS) approach, we combined the effects of bone mineral density (BMD) DNA loci, affecting osteoporosis pathogenesis, based on GEFOS/GENOMOS consortium GWAS meta-analysis. We developed models to predict the risk of low fractures in women from the Volga-Ural region of Russia with efficacy of 74% (AUC = 0.740; OR (95% CI) = 2.9 (2.353-3.536)), as well as the formation of low BMD with efficacy of 79% (AUC = 0.790; OR (95% CI) = 3.94 (2.993-5.337)). In addition, we propose a model that predicts fracture risk and low BMD in a comorbid condition with 85% accuracy (AUC = 0.850; OR (95% CI) = 6.6 (4.411-10.608)) in postmenopausal women.

Indexed as

Bone Diseases, MetabolicFractures, BoneOsteoporosisOsteoporosis, PostmenopausalBone DensityFemaleHumansMultifactorial Inheritancefracturelow bone mineral densityosteoporosispolygenic risk score

Identifiers

PMID36077420
PMCPMC9456390
OpenAlexW4294741307

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.