Evidence map›Paper›PMID 39498263›Full record

ArticleNational science review2024

Expanding the Russian allele frequency reference via cross-laboratory data integration: insights from 7452 exome samples.

Yury A Barbitoff, Darya N Khmelkova, Ekaterina A Pomerantseva, Aleksandr V Slepchenkov, Nikita A Zubashenko, Irina V Mironova, Vladimir S Kaimonov, Dmitrii E Polev, Victoria V Tsay, Andrey S Glotov and 5 more

Abstract read
In one paragraph

Article in National science review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. TheGenes · 2025
    Article
  9. From Genes to Disease: ReassessingInternational journal of molecular sciences · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Case Report: Novel variants in theFrontiers in immunology · 2025
    Article
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  15. Article
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  17. Review
  18. Article
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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

15 authors.

Yury A BarbitoffCerbaLab Ltd., St. Petersburg 199106, Russia.ORCID https://orcid.org/0000-0002-3222-440X
Darya N KhmelkovaGenetics and Reproductive Medicine Center "GENETICO" Ltd., Moscow 121205, Russia.
Ekaterina A PomerantsevaGenetics and Reproductive Medicine Center "GENETICO" Ltd., Moscow 121205, Russia.
Aleksandr V SlepchenkovBioinformatics Institute, St. Petersburg 197342, Russia.
Nikita A ZubashenkoGenetics and Reproductive Medicine Center "GENETICO" Ltd., Moscow 121205, Russia.
Irina V MironovaGenetics and Reproductive Medicine Center "GENETICO" Ltd., Moscow 121205, Russia.
Vladimir S KaimonovGenetics and Reproductive Medicine Center "GENETICO" Ltd., Moscow 121205, Russia.
Dmitrii E PolevCerbaLab Ltd., St. Petersburg 199106, Russia.ORCID https://orcid.org/0000-0001-9679-2791
Victoria V TsayCerbaLab Ltd., St. Petersburg 199106, Russia.
Andrey S GlotovDepartment of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology and Reproductology, St. Petersburg 199034, Russia.
Mikhail V AseevCerbaLab Ltd., St. Petersburg 199106, Russia.
Sergey G ShcherbakCity Hospital No. 40, St. Petersburg 197706, Russia.
Oleg S GlotovCerbaLab Ltd., St. Petersburg 199106, Russia.
Arthur A IsaevGenetics and Reproductive Medicine Center "GENETICO" Ltd., Moscow 121205, Russia.
Alexander V PredeusBioinformatics Institute, St. Petersburg 197342, Russia.ORCID https://orcid.org/0000-0002-2750-1599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population allele frequency is crucially important for accurate interpretation of known and novel variants in medical genetics. Recently, several large allele frequency databases, such as the Genome Aggregation Database (gnomAD), have been created to serve as a global reference for such studies. However, frequencies of many rare alleles vary dramatically between populations, and population-specific allele frequency is often more informative than the global one. Many countries and regions, including Russia, remain poorly studied from the genetic perspective. Here, we report the first successful attempt to integrate genetic information between major medical genetic laboratories in Russia. We construct RUSeq, an open, large-scale reference set of genetic variants by analyzing 7452 exome samples collected in two major Russian cities-Moscow and St. Petersburg. An ∼10-fold increase in sample size compared to previous studies allowed us to characterize extensive genetic diversity within the admixed Russian population with contributions from several major ancestral groups. We highlight 51 known pathogenic variants that are overrepresented in Russia compared to other European countries. We also identify several dozen high-impact variants that are present in healthy donors despite being annotated as pathogenic in ClinVar and falling within genes associated with autosomal dominant disorders. The constructed database of genetic variant frequencies in Russia has been made available to the medical genetics community through a variant browser available at http://ruseq.ru.

Indexed as

allele frequencymedical geneticsRussiawhole exome sequencing

Identifiers

PMID39498263
PMCPMC11533896

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.