Evidence map›Paper›PMID 31482689›Full record

ArticleMolecular genetics & genomic medicine2019

Whole-exome sequencing provides insights into monogenic disease prevalence in Northwest Russia.

Yury A Barbitoff, Rostislav K Skitchenko, Olga I Poleshchuk, Anton E Shikov, Elena A Serebryakova, Yulia A Nasykhova, Dmitrii E Polev, Anna R Shuvalova, Irina V Shcherbakova, Mikhail A Fedyakov and 3 more

Abstract read
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Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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26citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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  16. RAREsim: A simulation method for very rare genetic variants.American journal of human genetics · 2022
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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yury A BarbitoffBioinformatics Institute, St. Petersburg, Russia.ORCID 0000-0002-3222-440X
Rostislav K SkitchenkoBioinformatics Institute, St. Petersburg, Russia.
Olga I PoleshchukBioinformatics Institute, St. Petersburg, Russia.
Anton E ShikovBioinformatics Institute, St. Petersburg, Russia.ORCID 0000-0001-7084-0177
Elena A SerebryakovaDepartment of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology and Reproduction, St. Petersburg, Russia.
Yulia A NasykhovaDepartment of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology and Reproduction, St. Petersburg, Russia.
Dmitrii E PolevCerbalab LTD, St. Petersburg, Russia.ORCID 0000-0001-9679-2791
Anna R ShuvalovaCerbalab LTD, St. Petersburg, Russia.
Irina V ShcherbakovaLaboratory of Biobanking and Genomic Medicine of Institute of Translation Biomedicine, St. Petersburg State University, St. Petersburg, Russia.
Mikhail A FedyakovCity Hospital No. 40, St. Petersburg, Russia.
Oleg S GlotovCity Hospital No. 40, St. Petersburg, Russia.
Andrey S GlotovCity Hospital No. 40, St. Petersburg, Russia.ORCID 0000-0002-7465-4504
Alexander V PredeusBioinformatics Institute, St. Petersburg, Russia.ORCID 0000-0002-2750-1599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAllele frequency data from large exome and genome aggregation projects such as the Genome Aggregation Database (gnomAD) are of ultimate importance to the interpretation of medical resequencing data. However, allele frequencies might significantly differ in poorly studied populations that are underrepresented in large-scale projects, such as the Russian population.

methodsIn this work, we leveraged our access to a large dataset of 694 exome samples to analyze genetic variation in the Northwest Russia. We compared the spectrum of genetic variants to the dbSNP build 151, and made estimates of ClinVar-based autosomal recessive (AR) disease allele prevalence as compared to gnomAD r. 2.1.

resultsAn estimated 9.3% of discovered variants were not present in dbSNP. We report statistically significant overrepresentation of pathogenic variants for several Mendelian disorders, including phenylketonuria (PAH, rs5030858), Wilson's disease (ATP7B, rs76151636), factor VII deficiency (F7, rs36209567), kyphoscoliosis type of Ehlers-Danlos syndrome (FKBP14, rs542489955), and several other recessive pathologies. We also make primary estimates of monogenic disease incidence in the population, with retinal dystrophy, cystic fibrosis, and phenylketonuria being the most frequent AR pathologies.

conclusionOur observations demonstrate the utility of population-specific allele frequency data to the diagnosis of monogenic disorders using high-throughput technologies.

Indexed as

Genetic VariationBiomarkersDNA Mutational AnalysisExome SequencingGenetic Diseases, InbornGenetic TestingHepatolenticular DegenerationHumansPrevalencePrognosisRussiaBiomarkersallele frequencyMendelian diseaseRussiawhole-exome sequencing

Identifiers

PMID31482689
PMCPMC6825859

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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.