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

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.

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Publication Details

Journal
National Science Review
Published
2024-09-13
DOI
https://doi.org/10.1093/nsr/nwae326
Citations
21
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
11.56

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article

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

Sergey Shcherbak, М. В. Асеев, Aleksandr V. Slepchenkov, Yury A. Barbitoff et al.
21 citations
National Science Review
Genetic Associations and Epidemiology
11.56
article

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

Sergey Shcherbak, М. В. Асеев, Aleksandr V. Slepchenkov, Yury A. Barbitoff, Alexander V. Predeus, D. N. Khmelkova, Oleg S. Glotov, Nikita A. Zubashenko, А. А. Исаев, Victoria V. Tsay, Dmitrii E. Polev, Аndrey S. Glotov, Vladimir Kaimonov, Ekaterina Pomerantseva, И. В. Миронова
article en
21 citations

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.

National Science ReviewVol. 11(10)
Research Institute of Obstetrics and Gynecology named after D.O. Ott (RU), Saint Petersburg Pasteur Institute (RU), Children's Scientific and Clinical Center for Infectious Diseases of the Federal Medical and Biological Agency (RU), City Hospital No. 40 (RU), Bioinformatics Institute (RU), Virbac (France) (FR)
Ministry of Science and Higher Education of the Russian Federation
Partnerships for the goals
Openalex Percentile: Top 1%
Genetic Associations and Epidemiology
11.56
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