Evidence map›Paper›PMID 39795959›Full record

ArticleInternational journal of molecular sciences2024

Evaluation of Polygenic Risk Score for Prediction of Childhood Onset and Severity of Asthma.

Olga Savelieva, Alexandra Karunas, Inga Prokopenko, Zhanna Balkhiyarova, Irina Gilyazova, Irina Khidiyatova, Elza Khusnutdinova

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Olga SavelievaInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-9690-1481
Alexandra KarunasInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-2570-0789
Inga ProkopenkoDepartment of Clinical & Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0003-1624-7457
Zhanna BalkhiyarovaDepartment of Clinical & Experimental Medicine, University of Surrey, Guildford GU2 7XH, UK.ORCID 0000-0003-3553-7126
Irina GilyazovaInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0001-9499-5632
Irina KhidiyatovaInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0002-9600-5468
Elza KhusnutdinovaInstitute of Biochemistry and Genetics, Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, 450054 Ufa, Russia.ORCID 0000-0003-2987-3334

Funding

Megagrant of the Ministry of Science and Higher Education of the Russian Federation № 075-15-2021-595Ministry of Science and Higher Education of the Russian Federation № 122041400169-2Saint-Petersburg State University ID PURE: 103964756
6 · The paper itself

Abstract

Asthma is a common complex disease with susceptibility defined through an interplay of genetic and environmental factors. Responsiveness to asthma treatment varies between individuals and is largely determined by genetic variability. The polygenic score (PGS) approach enables an individual risk of asthma and respective response to drug therapy. PGS models could help to predict the individual risk of asthma using 26 SNPs of drug pathway genes involved in the metabolism of glucocorticosteroids (GCS), and beta-2-agonists, antihistamines, and antileukotriene drugs associated with the response to asthma treatment within GWAS were built. For PGS, summary statistics from the Trans-National Asthma Genetic Consortium GWAS meta-analysis, and genotype data for 882 individuals with asthma/controls from the Volga-Ural region, were used. The study group was comprised of Russian, Tatar, Bashkir, and mixed ethnicity individuals with asthma (

Indexed as

AsthmaGenetic Predisposition to DiseaseMultifactorial InheritanceAdolescentAdultAgedAge of OnsetChildChild, PreschoolFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single Nucleotideassociationasthmapharmacogeneticspolygenic scorepolymorphism

Identifiers

PMID39795959
PMCPMC11719589

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Registered trials

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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 OpenQuestion graph.