Evidence map›Paper›PMID 36726807›Full record

ArticleFrontiers in genetics2023

Transferability of the PRS estimates for height and BMI obtained from the European ethnic groups to the Western Russian populations.

E A Albert, O A Kondratieva, E E Baranova, O V Sagaydak, M S Belenikin, G Y Zobkova, E S Kuznetsova, A A Deviatkin, A A Zhurov, E A Karpulevich and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

E A AlbertNational Medical Research Center for Endocrinology, Moscow, Russia.
O A KondratievaDepartment of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia.
E E BaranovaEvogen LLC, Moscow, Russia.
O V SagaydakEvogen LLC, Moscow, Russia.
M S BelenikinEvogen LLC, Moscow, Russia.
G Y ZobkovaEvogen LLC, Moscow, Russia.
E S KuznetsovaEvogen LLC, Moscow, Russia.
A A DeviatkinNational Medical Research Center for Endocrinology, Moscow, Russia.
A A ZhurovNational Medical Research Center for Endocrinology, Moscow, Russia.
E A KarpulevichDepartment of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia.
P Y VolchkovNational Medical Research Center for Endocrinology, Moscow, Russia.
M V VorontsovaNational Medical Research Center for Endocrinology, Moscow, Russia.
Moscow Institute of Physics and Technology · RUInstitute for System Programming · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic data plays an increasingly important role in modern medicine. Decrease in the cost of sequencing with subsequent increase in imputation accuracy, and the accumulation of large amounts of high-quality genetic data enable the creation of polygenic risk scores (PRSs) to perform genotype-phenotype associations. The accuracy of phenotype prediction primarily depends on the overall trait heritability, Genome-wide association studies cohort size, and the similarity of genetic background between the base and the target cohort. Here we utilized 8,664 high coverage genomic samples collected across Russia by "Evogen", a Russian biomedical company, to evaluate the predictive power of PRSs based on summary statistics established on cohorts of European ancestry for basic phenotypic traits, namely height and BMI. We have demonstrated that the PRSs calculated for selected traits in three distinct Russian populations, recapitulate the predictive power from the original studies. This is evidence that GWAS summary statistics calculated on cohorts of European ancestry are transferable onto at least some ethnic groups in Russia.

Indexed as

BMIGWAS summary statisticheightpopulation structurePRS

Identifiers

PMID36726807
PMCPMC9885218
OpenAlexW4316362578

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.