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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/vjgb-26-52</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-5117</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МЕДИЦИНСКАЯ ГЕНЕТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MEDICAL GENETICS</subject></subj-group></article-categories><title-group><article-title>Диагностическая эффективность полноэкзомного секвенирования в поиске генетических причин наследственных заболеваний в ХМАО-Югре (Западная Сибирь, Россия)</article-title><trans-title-group xml:lang="en"><trans-title>Diagnostic efficiency of whole exome sequencing in the search for genetic causes of hereditary diseases in Yugra (West Siberia, Russia)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Донников</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Donnikov</surname><given-names>M. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сургут, ХМАО-Югра</p></bio><bio xml:lang="en"><p>KHMAO-Yugra, Surgut</p></bio><email xlink:type="simple">donnikov@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сучко</surname><given-names>П. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Suchko</surname><given-names>P. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Морозкина</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Morozkina</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сургут, ХМАО-Югра</p></bio><bio xml:lang="en"><p>KHMAO-Yugra, Surgut</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Колбасин</surname><given-names>Л. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Kolbasin</surname><given-names>L. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сургут, ХМАО-Югра</p></bio><bio xml:lang="en"><p>KHMAO-Yugra, Surgut</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Попова</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Popova</surname><given-names>E. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сургут, ХМАО-Югра</p></bio><bio xml:lang="en"><p>KHMAO-Yugra, Surgut</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Папанов</surname><given-names>С. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Papanov</surname><given-names>S. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сургут, ХМАО-Югра</p></bio><bio xml:lang="en"><p>KHMAO-Yugra, Surgut</p></bio><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кошевая</surname><given-names>Ю. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Koshevaya</surname><given-names>Yu. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Данилов</surname><given-names>Л. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Danilov</surname><given-names>L. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-5"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Эйсмонт</surname><given-names>Ю. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Eismont</surname><given-names>Yu. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-6"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Глотов</surname><given-names>О. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Glotov</surname><given-names>O. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>St. Petersburg</p></bio><xref ref-type="aff" rid="aff-7"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Коваленко</surname><given-names>Л. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kovalenko</surname><given-names>L. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сургут, ХМАО-Югра</p></bio><bio xml:lang="en"><p>KHMAO-Yugra, Surgut</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Медицинский институт, Сургутский государственный университет<country>Россия</country></aff><aff xml:lang="en">Medical Institute of Surgut State University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта;&#13;
Санкт-Петербургский государственный университет<country>Россия</country></aff><aff xml:lang="en">Research Institute of Obstetrics, Gynecology, and Reproductology named after D.O. Ott;&#13;
Saint Petersburg State University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Медицинский институт, Сургутский государственный университет;&#13;
Сургутский окружной клинический центр охраны материнства и детства<country>Россия</country></aff><aff xml:lang="en">Medical Institute of Surgut State University;&#13;
KHMAO-Yugra Surgut Regional Clinical Center for Maternity and Childhood Protection, Medical Genetic Counseling Service<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru">Диагностический центр (медико-генетический)<country>Россия</country></aff><aff xml:lang="en">Saint-Petersburg State Medical Diagnostic Center (Genetic Medical Center)<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-5"><aff xml:lang="ru">Санкт-Петербургский государственный университет<country>Россия</country></aff><aff xml:lang="en">Saint Petersburg State University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-6"><aff xml:lang="ru">Федеральный научно-клинический центр инфекционных болезней Федерального медико-биологического агентства<country>Россия</country></aff><aff xml:lang="en">Federal Scientific and Clinical Center of Infectious Diseases of the Federal Medical and Biological Agency<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-7"><aff xml:lang="ru">Научно-исследовательский институт акушерства, гинекологии и репродуктологии им. Д.О. Отта;&#13;
Федеральный научно-клинический центр инфекционных болезней Федерального медико-биологического агентства<country>Россия</country></aff><aff xml:lang="en">Research Institute of Obstetrics, Gynecology, and Reproductology named after D.O. Ott;&#13;
Federal Scientific and Clinical Center of Infectious Diseases of the Federal Medical and Biological Agency<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>26</day><month>05</month><year>2026</year></pub-date><volume>30</volume><issue>3</issue><fpage>482</fpage><lpage>489</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Донников М.Ю., Сучко П.А., Морозкина А.В., Колбасин Л.Н., Попова Е.А., Папанов С.И., Кошевая Ю.С., Данилов Л.Г., Эйсмонт Ю.А., Глотов О.С., Коваленко Л.В., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Донников М.Ю., Сучко П.А., Морозкина А.В., Колбасин Л.Н., Попова Е.А., Папанов С.И., Кошевая Ю.С., Данилов Л.Г., Эйсмонт Ю.А., Глотов О.С., Коваленко Л.В.</copyright-holder><copyright-holder xml:lang="en">Donnikov M.Y., Suchko P.A., Morozkina A.V., Kolbasin L.N., Popova E.A., Papanov S.I., Koshevaya Y.S., Danilov L.G., Eismont Y.A., Glotov O.S., Kovalenko L.V.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vavilov.elpub.ru/jour/article/view/5117">https://vavilov.elpub.ru/jour/article/view/5117</self-uri><abstract><p>Полноэкзомное секвенирование произвело революцию в диагностике наследственных заболеваний, однако его эффективность варьирует в разных популяциях. Данные о генетической архитектуре редких наследственных заболеваний во многих регионах России, включая этнически разнообразный Ханты-Мансийский автономный округ – Югру, ограниченны. Настоящее исследование направлено на оценку диагностической ценности полноэкзомного секвенирования для выявления генетических вариантов, ассоциированных с наследственными заболеваниями в этой этнически неоднородной популяции. В исследование включили 286 пробандов с предполагаемыми наследственными заболеваниями, наблюдаемых генетиками региона в период с 2021 по 2024 г. Полноэкзомное секвенирование было выполнено на платформе DNBSEQ-G50 (MGI, Китай). Биоинформатический анализ включал выявление и аннотацию вариантов с использованием популяционных баз данных и инструментов прогнозирования патогенности. Найденные варианты были распределены по категориям в соответствии с рекомендациями ACMG/Российского общества медицинских генетиков и коррелировали с клиническими фенотипами. Молекулярно-генетические диагнозы были классифицированы как полные, частичные, потенциальные (на основании вариантов неизвестной значимости) или отсутствующие. Обследованная когорта преимущественно состояла из детей, наиболее частыми клиническими показаниями были неврологические, дисморфические и метаболические нарушения. Окончательный молекулярно-генетический диагноз был установлен у 24.8 % пациентов. С учетом потенциальных заключений общая значимость исследования увеличилась до 48.6 %. Диагностическая эффективность значительно варьировала в зависимости от категории заболеваний: от 58.3 % для заболеваний почек до 0 % для нарушений нейрогенеза. Проанализировано в общей сложности 420 уникальных вариантов генов, при этом миссенс-варианты были самыми встречающимися среди клинически значимых результатов. Наиболее часто выявлялись гены ATP7B, GJB2, ABCA4, GALT. Результаты исследования показали, что полноэкзомное секвенирование – эффективный молекулярный тест первой линии для широкого спектра предполагаемых наследственных заболеваний у жителей Югры с диагностической ценностью, сопоставимой с аналогичными исследованиями за рубежом. Полученные данные подтверждают результативность полноэкзомного секвенирования в гетерогенной популяции и подчеркивают потенциал повышения диагностической ценности за счет формата «трио» и периодического повторного анализа данных. </p></abstract><trans-abstract xml:lang="en"><p>Whole-exome sequencing (WES) has revolutionized the diagnostics of hereditary diseases, yet its efficacy varies across populations. Data on the genetic architecture of rare hereditary disorders in many Russian regions, including the ethnically diverse Khanty-Mansi Autonomous Okrug (Yugra) are scarce. The aim of this study was to evaluate the diagnostic yield of WES for identifying genetic variants associated with hereditary disorders in this ethnically heterogeneous population. The study involved 286 probands with suspected hereditary disorders observed by regional geneticists in the years 2021–2024. WES was performed on the DNBSEQ-G50 platform (MGI, China). Bioinformatic analysis included variant calling and annotation using population databases and pathogenicity prediction tools. Identified variants were classified according to ACMG/Russian Medical Genetics Society guidelines and correlated with clinical phenotypes. Molecular genetic diagnoses were categorized as definitive, partial, potential (based on variants of unknown significance), or unknown. The examined cohort was predominantly pediatric, the most common clinical indications were neurological, dysmorphic, and metabolic disorders. Definitive molecular diagnoses were established in 24.8 % of patients. Inclusion of potential diagnoses increased the total yield to 48.6 %. Diagnostic efficacy varied significantly among disease categories ranging from 58.3 % for renal disorders to 0 % for neurodevelopmental disorders. A total of 420 unique variants were analyzed, and missense changes were the most frequent among clinically significant findings. The most commonly implicated genes were ATP7B, GJB2, ABCA4, and GALT. The study results indicate that WES is an effective first-tier molecular tool for a wide range of suspected hereditary diseases in the Yugra population, with a diagnostic yield comparable to similar studies abroad. The findings support the utility of WES in diverse populations and highlight the potential for increasing yield through trio-WES and periodic data reanalysis.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>полноэкзомное секвенирование</kwd><kwd>наследственные заболевания</kwd><kwd>секвенирование нового поколения</kwd><kwd>генетическое консультирование</kwd><kwd>эффективность диагностики</kwd><kwd>молекулярная диагностика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>whole exome sequencing</kwd><kwd>hereditary diseases</kwd><kwd>new generation sequencing</kwd><kwd>genetic counseling</kwd><kwd>diagnostic&#13;
effectiveness</kwd><kwd>molecular genetic diagnosis</kwd></kwd-group><funding-group xml:lang="en"><funding-statement>The study was supported by the Foundation for Scientific and Technological Development of Yugra, project 2023-574-05</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Adams D.R., Eng C.M. Next-generation sequencing to diagnose suspected genetic disorders. N Engl J Med. 2018;379(14):1353-1362. doi 10.1056/NEJMra1711801</mixed-citation><mixed-citation xml:lang="en">Adams D.R., Eng C.M. Next-generation sequencing to diagnose suspected genetic disorders. N Engl J Med. 2018;379(14):1353-1362. doi 10.1056/NEJMra1711801</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Adzhubei I.A., Schmidt S., Peshkin L., Ramensky V.E., Gerasimova A., Bork P., Kondrashov A.S., Sunyaev S.R. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7(4): 248-249. doi 10.1038/nmeth0410-248</mixed-citation><mixed-citation xml:lang="en">Adzhubei I.A., Schmidt S., Peshkin L., Ramensky V.E., Gerasimova A., Bork P., Kondrashov A.S., Sunyaev S.R. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7(4): 248-249. doi 10.1038/nmeth0410-248</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Arteche-López A., Ávila-Fernández A., Riveiro Álvarez R., Almoguera B., Bustamante Aragonés A., Martin-Merida I., López Martínez M.A., … Blanco-Kelly F., Tahsin Swafiri S., Lorda Sánchez I., Trujillo Tiebas M.J., Ayuso C. Five years’ experience of the clinical exome sequencing in a Spanish single center. Sci Rep. 2022;12(1): 19209. doi 10.1038/s41598-022-23786-6</mixed-citation><mixed-citation xml:lang="en">Arteche-López A., Ávila-Fernández A., Riveiro Álvarez R., Almoguera B., Bustamante Aragonés A., Martin-Merida I., López Martínez M.A., … Blanco-Kelly F., Tahsin Swafiri S., Lorda Sánchez I., Trujillo Tiebas M.J., Ayuso C. Five years’ experience of the clinical exome sequencing in a Spanish single center. Sci Rep. 2022;12(1): 19209. doi 10.1038/s41598-022-23786-6</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Azzollini J., Scuvera G., Bruno E., Pasanisi P., Zaffaroni D., Calvello M., Pasini B., Ripamonti C.B., Colombo M., Pensotti V., Radice P., Peissel B., Manoukian S. Mutation detection rates associated with specific selection criteria for BRCA1/2 testing in 1854 high-risk families: a monocentric Italian study. Eur J Intern Med. 2016;32: 65-71. doi 10.1016/j.ejim.2016.03.010</mixed-citation><mixed-citation xml:lang="en">Azzollini J., Scuvera G., Bruno E., Pasanisi P., Zaffaroni D., Calvello M., Pasini B., Ripamonti C.B., Colombo M., Pensotti V., Radice P., Peissel B., Manoukian S. Mutation detection rates associated with specific selection criteria for BRCA1/2 testing in 1854 high-risk families: a monocentric Italian study. Eur J Intern Med. 2016;32: 65-71. doi 10.1016/j.ejim.2016.03.010</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Barbitoff Y.A., Khmelkova D.N., Pomerantseva E.A., Slepchenkov A.V., Zubashenko N.A., Mironova I.V., Kaimonov V.S., … Aseev M.V., Shcherbak S.G., Glotov O.S., Isaev A.A., Predeus A.V. Expanding the Russian allele frequency reference via cross-laboratory data integration: insights from 7452 exome samples. Natl Sci Rev. 2024; 11(10):nwae326. doi 10.1093/nsr/nwae326</mixed-citation><mixed-citation xml:lang="en">Barbitoff Y.A., Khmelkova D.N., Pomerantseva E.A., Slepchenkov A.V., Zubashenko N.A., Mironova I.V., Kaimonov V.S., … Aseev M.V., Shcherbak S.G., Glotov O.S., Isaev A.A., Predeus A.V. Expanding the Russian allele frequency reference via cross-laboratory data integration: insights from 7452 exome samples. Natl Sci Rev. 2024; 11(10):nwae326. doi 10.1093/nsr/nwae326</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Cingolani P., Platts A., Wang le L., Coon M., Nguyen T., Wang L., Land S.J., Lu X., Ruden D.M. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin). 2012;6(2):80-92. doi 10.4161/fly.19695</mixed-citation><mixed-citation xml:lang="en">Cingolani P., Platts A., Wang le L., Coon M., Nguyen T., Wang L., Land S.J., Lu X., Ruden D.M. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin). 2012;6(2):80-92. doi 10.4161/fly.19695</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Davydov E.V., Goode D.L., Sirota M., Cooper G.M., Sidow A., Batzoglou S. Identifying a high fraction of the human genome to be under selective constraint using GERP++. PLoS Comput Biol. 2010; 6(12):e1001025. doi 10.1371/journal.pcbi.1001025</mixed-citation><mixed-citation xml:lang="en">Davydov E.V., Goode D.L., Sirota M., Cooper G.M., Sidow A., Batzoglou S. Identifying a high fraction of the human genome to be under selective constraint using GERP++. PLoS Comput Biol. 2010; 6(12):e1001025. doi 10.1371/journal.pcbi.1001025</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Glotov O.S., Donnikov M.Yu., Glotov A.S., Popova E.A., Suchko P.A., Kolbasin L.N., Belotserkovtseva L.D., Kovalenko L.V. Genetic variants identified in patients with rare and multifactorial diseases in the Khanty-Mansi Autonomous Okrug – Yugra based on exome sequencing: registered database No. 2025622641. 2025. Available: https://new.fips.ru/publication-web/publications/document?type=doc&amp;tab=PrEVM&amp;id=60EDD49E-F82F-481E-BFB7-474B01087E34, accessed on 28.09.2025 (in Russian)</mixed-citation><mixed-citation xml:lang="en">Glotov O.S., Donnikov M.Yu., Glotov A.S., Popova E.A., Suchko P.A., Kolbasin L.N., Belotserkovtseva L.D., Kovalenko L.V. Genetic variants identified in patients with rare and multifactorial diseases in the Khanty-Mansi Autonomous Okrug – Yugra based on exome sequencing: registered database No. 2025622641. 2025. Available: https://new.fips.ru/publication-web/publications/document?type=doc&amp;tab=PrEVM&amp;id=60EDD49E-F82F-481E-BFB7-474B01087E34, accessed on 28.09.2025 (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Han H., Seo G.H., Hyun S.I., Kwon K., Ryu S.W., Khang R., Lee E., … Yang S., Lee S., Jang S., Lee J., Lee H. Exome sequencing of 18,994 ethnically diverse patients with suspected rare Mendelian disorders. NPJ Genom Med. 2025;10(1):6. doi 10.1038/s41525-024-00455-3</mixed-citation><mixed-citation xml:lang="en">Han H., Seo G.H., Hyun S.I., Kwon K., Ryu S.W., Khang R., Lee E., … Yang S., Lee S., Jang S., Lee J., Lee H. Exome sequencing of 18,994 ethnically diverse patients with suspected rare Mendelian disorders. NPJ Genom Med. 2025;10(1):6. doi 10.1038/s41525-024-00455-3</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Ioannidis N.M., Rothstein J.H., Pejaver V., Middha S., McDonnell S.K., Baheti S., Musolf A., … Bailey-Wilson J.E., Radivojac P., Thibodeau S.N., Whittemore A.S., Sieh W. REVEL: an ensemble method for predicting the pathogenicity of rare missense variants. Am J Hum Genet. 2016;99(4):877-885. doi 10.1016/j.ajhg.2016.08.016</mixed-citation><mixed-citation xml:lang="en">Ioannidis N.M., Rothstein J.H., Pejaver V., Middha S., McDonnell S.K., Baheti S., Musolf A., … Bailey-Wilson J.E., Radivojac P., Thibodeau S.N., Whittemore A.S., Sieh W. REVEL: an ensemble method for predicting the pathogenicity of rare missense variants. Am J Hum Genet. 2016;99(4):877-885. doi 10.1016/j.ajhg.2016.08.016</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kumar P., Henikoff S., Ng P.C. Predicting the effects of coding nonsynonymous variants on protein function using the SIFT algorithm. Nat Protoc. 2009;4(7):1073-1081. doi 10.1038/nprot.2009.86</mixed-citation><mixed-citation xml:lang="en">Kumar P., Henikoff S., Ng P.C. Predicting the effects of coding nonsynonymous variants on protein function using the SIFT algorithm. Nat Protoc. 2009;4(7):1073-1081. doi 10.1038/nprot.2009.86</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Lai G., Gu Q., Lai Z., Chen H., Chen J., Huang J. The application of whole-exome sequencing in the early diagnosis of rare genetic diseases in children: a study from Southeastern China. Front Pediatr. 2024;12:1448895. doi 10.3389/fped.2024.1448895</mixed-citation><mixed-citation xml:lang="en">Lai G., Gu Q., Lai Z., Chen H., Chen J., Huang J. The application of whole-exome sequencing in the early diagnosis of rare genetic diseases in children: a study from Southeastern China. Front Pediatr. 2024;12:1448895. doi 10.3389/fped.2024.1448895</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Li H. Exploring single-sample SNP and INDEL calling with wholegenome de novo assembly. Bioinformatics. 2011;28(14):1838-1844. doi 10.1093/bioinformatics/bts280</mixed-citation><mixed-citation xml:lang="en">Li H. Exploring single-sample SNP and INDEL calling with wholegenome de novo assembly. Bioinformatics. 2011;28(14):1838-1844. doi 10.1093/bioinformatics/bts280</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Moey L.H., Seo G.H., Cheah B.E., Keng W.T., Lee H., Ch’ng G.S. A first large study of whole-exome sequencing (WES) in 489 patients with suspected rare genetic disorders at a tertiary centre in Malaysia. Rare. 2025;3:100102. doi 10.1016/j.rare.2025.100102</mixed-citation><mixed-citation xml:lang="en">Moey L.H., Seo G.H., Cheah B.E., Keng W.T., Lee H., Ch’ng G.S. A first large study of whole-exome sequencing (WES) in 489 patients with suspected rare genetic disorders at a tertiary centre in Malaysia. Rare. 2025;3:100102. doi 10.1016/j.rare.2025.100102</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Okuneva E.G., Kozina A.A., Baryshnikova N.V., Krasnenko A.Yu., Klimchuk O.I., Stetsenko I.F., Plotnikov N.A., Surkova E.I., Ilinsky V.V. The utility of exome sequencing in diagnosis of hereditary diseases. Med Genet. 2020;19(12):18-24. doi 10.25557/2073-7998.2020.12.18-24 (in Russian)</mixed-citation><mixed-citation xml:lang="en">Okuneva E.G., Kozina A.A., Baryshnikova N.V., Krasnenko A.Yu., Klimchuk O.I., Stetsenko I.F., Plotnikov N.A., Surkova E.I., Ilinsky V.V. The utility of exome sequencing in diagnosis of hereditary diseases. Med Genet. 2020;19(12):18-24. doi 10.25557/2073-7998.2020.12.18-24 (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Pashaei E., Yilmaz A., Ozen M., Aydin N. Prediction of splice site using AdaBoost with a new sequence encoding approach. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary. IEEE, 2016;003853-003858. doi 10.1109/SMC.2016.7844835</mixed-citation><mixed-citation xml:lang="en">Pashaei E., Yilmaz A., Ozen M., Aydin N. Prediction of splice site using AdaBoost with a new sequence encoding approach. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary. IEEE, 2016;003853-003858. doi 10.1109/SMC.2016.7844835</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Petersen B.S., Fredrich B., Hoeppner M.P., Ellinghaus D., Franke A. Opportunities and challenges of whole-genome and -exome sequencing. BMC Genet. 2017;18(1):14. doi 10.1186/s12863-017-0479-5</mixed-citation><mixed-citation xml:lang="en">Petersen B.S., Fredrich B., Hoeppner M.P., Ellinghaus D., Franke A. Opportunities and challenges of whole-genome and -exome sequencing. BMC Genet. 2017;18(1):14. doi 10.1186/s12863-017-0479-5</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Quang D., Chen Y., Xie X. DANN: a deep learning approach for annotating the pathogenicity of genetic variants. Bioinformatics. 2015; 31(5):761-763. doi 10.1093/bioinformatics/btu703</mixed-citation><mixed-citation xml:lang="en">Quang D., Chen Y., Xie X. DANN: a deep learning approach for annotating the pathogenicity of genetic variants. Bioinformatics. 2015; 31(5):761-763. doi 10.1093/bioinformatics/btu703</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Retterer K., Juusola J., Cho M.T., Vitazka P., Millan F., Gibellini F., Vertino-Bell A., … Richard G., Brandt T., Haverfield E., Chung W.K., Bale S. Clinical application of whole-exome sequencing across clinical indications. Genet Med. 2016;18(7):696-704. doi 10.1038/gim.2015.148</mixed-citation><mixed-citation xml:lang="en">Retterer K., Juusola J., Cho M.T., Vitazka P., Millan F., Gibellini F., Vertino-Bell A., … Richard G., Brandt T., Haverfield E., Chung W.K., Bale S. Clinical application of whole-exome sequencing across clinical indications. Genet Med. 2016;18(7):696-704. doi 10.1038/gim.2015.148</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Richards S., Aziz N., Bale S., Bick D., Das S., Gastier-Foster J., Grody W.W., Hegde M., Lyon E., Spector E., Voelkerding K., Rehm H.L.; ACMG Laboratory Quality Assurance Committee. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405-424. doi 10.1038/gim.2015.30</mixed-citation><mixed-citation xml:lang="en">Richards S., Aziz N., Bale S., Bick D., Das S., Gastier-Foster J., Grody W.W., Hegde M., Lyon E., Spector E., Voelkerding K., Rehm H.L.; ACMG Laboratory Quality Assurance Committee. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405-424. doi 10.1038/gim.2015.30</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Ross J.P., Dion P.A., Rouleau G.A. Exome sequencing in genetic disease: recent advances and considerations. F1000Res. 2020;9(F1000 Faculty Rev):336. doi 10.12688/f1000research.19444.1</mixed-citation><mixed-citation xml:lang="en">Ross J.P., Dion P.A., Rouleau G.A. Exome sequencing in genetic disease: recent advances and considerations. F1000Res. 2020;9(F1000 Faculty Rev):336. doi 10.12688/f1000research.19444.1</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Ryzhkova O.P., Kardymon O.L., Prohorchuk E.B., Konovalov F.A., Maslennikov A.B., Stepanov V.A., Afanas’ev A.A., … Kostareva A.A., Pavlov A.E., Golubenko M.V., Polyakov A.V., Kucev S.I. Guidelines for the interpretation of massive parallel sequencing variants (update 2018, v2). Med Genet. 2019;18(2):3-24. doi 10.25557/2073-7998.2019.02.3-23 (in Russian)</mixed-citation><mixed-citation xml:lang="en">Ryzhkova O.P., Kardymon O.L., Prohorchuk E.B., Konovalov F.A., Maslennikov A.B., Stepanov V.A., Afanas’ev A.A., … Kostareva A.A., Pavlov A.E., Golubenko M.V., Polyakov A.V., Kucev S.I. Guidelines for the interpretation of massive parallel sequencing variants (update 2018, v2). Med Genet. 2019;18(2):3-24. doi 10.25557/2073-7998.2019.02.3-23 (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Shchagina O.A., Ryzhkova O.P., Chuhrova A.L., Milovidova T.B., Gundorova P., Mironovich O.L., Orlova A.A., Orlova M.D., Polyakov A.V. Diagnostic utility of exome sequencing for inherited peripheral neuropathies. Neuromuscular Disord. 2020;10(4):12-26. doi 10.17650/2222-8721-2020-10-4-12-26 (in Russian)</mixed-citation><mixed-citation xml:lang="en">Shchagina O.A., Ryzhkova O.P., Chuhrova A.L., Milovidova T.B., Gundorova P., Mironovich O.L., Orlova A.A., Orlova M.D., Polyakov A.V. Diagnostic utility of exome sequencing for inherited peripheral neuropathies. Neuromuscular Disord. 2020;10(4):12-26. doi 10.17650/2222-8721-2020-10-4-12-26 (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Stankiewicz P., Lupski J.R. Structural variation in the human genome and its role in disease. Annu Rev Med. 2010;61:437-455. doi 10.1146/annurev-med-100708-204735</mixed-citation><mixed-citation xml:lang="en">Stankiewicz P., Lupski J.R. Structural variation in the human genome and its role in disease. Annu Rev Med. 2010;61:437-455. doi 10.1146/annurev-med-100708-204735</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Stranneheim H., Lagerstedt-Robinson K., Magnusson M., Kvarnung M., Nilsson D., Lesko N., Engvall M., … Soller M.J., Nordgren A., Wirta V., Lindstrand A., Wedell A. Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients. Genome Med. 2021;13(1):40. doi 10.1186/s13073-021-00855-5</mixed-citation><mixed-citation xml:lang="en">Stranneheim H., Lagerstedt-Robinson K., Magnusson M., Kvarnung M., Nilsson D., Lesko N., Engvall M., … Soller M.J., Nordgren A., Wirta V., Lindstrand A., Wedell A. Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients. Genome Med. 2021;13(1):40. doi 10.1186/s13073-021-00855-5</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Strauch Y., Lord J., Niranjan M., Baralle D. CI-SpliceAI-improving machine learning predictions of disease causing splicing variants using curated alternative splice sites. PLoS One. 2022;17(6):e0269159. doi 10.1371/journal.pone.0269159</mixed-citation><mixed-citation xml:lang="en">Strauch Y., Lord J., Niranjan M., Baralle D. CI-SpliceAI-improving machine learning predictions of disease causing splicing variants using curated alternative splice sites. PLoS One. 2022;17(6):e0269159. doi 10.1371/journal.pone.0269159</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Sundaram L., Gao H., Padigepati S.R., McRae J.F., Li Y., KosmickiJ.A., Fritzilas N., Hakenberg J., Dutta A., Shon J., Xu J., Batzoglou S., Li X., Farh K.K. Predicting the clinical impact of human mutation with deep neural networks. Nat Genet. 2018;50(8):1161-1170. doi 10.1038/s41588-018-0167-z</mixed-citation><mixed-citation xml:lang="en">Sundaram L., Gao H., Padigepati S.R., McRae J.F., Li Y., KosmickiJ.A., Fritzilas N., Hakenberg J., Dutta A., Shon J., Xu J., Batzoglou S., Li X., Farh K.K. Predicting the clinical impact of human mutation with deep neural networks. Nat Genet. 2018;50(8):1161-1170. doi 10.1038/s41588-018-0167-z</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Tan T.Y., Lunke S., Chong B., Phelan D., Fanjul-Fernandez M., Marum J.E., Kumar V.S., … Martyn M., Goranitis I., Thorne N., Gaff C.L., White S.M. A head-to-head evaluation of the diagnostic efficacy and costs of trio versus singleton exome sequencing analysis. Eur J Hum Genet. 2019;27(12):1791-1799. doi 10.1038/s41431-019-0471-9</mixed-citation><mixed-citation xml:lang="en">Tan T.Y., Lunke S., Chong B., Phelan D., Fanjul-Fernandez M., Marum J.E., Kumar V.S., … Martyn M., Goranitis I., Thorne N., Gaff C.L., White S.M. A head-to-head evaluation of the diagnostic efficacy and costs of trio versus singleton exome sequencing analysis. Eur J Hum Genet. 2019;27(12):1791-1799. doi 10.1038/s41431-019-0471-9</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Van der Auwera G.A., O’Connor B.D. Genomics in the Cloud: Using Docker, GATK, and WDL in Terra. O’Reilly Media, 2020</mixed-citation><mixed-citation xml:lang="en">Van der Auwera G.A., O’Connor B.D. Genomics in the Cloud: Using Docker, GATK, and WDL in Terra. O’Reilly Media, 2020</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Wang Q., Shashikant C.S., Jensen M., Altman N.S., Girirajan S. Novel metrics to measure coverage in whole exome sequencing datasets reveal local and global non-uniformity. Sci Rep. 2017;7(1):885. doi 10.1038/s41598-017-01005-x</mixed-citation><mixed-citation xml:lang="en">Wang Q., Shashikant C.S., Jensen M., Altman N.S., Girirajan S. Novel metrics to measure coverage in whole exome sequencing datasets reveal local and global non-uniformity. Sci Rep. 2017;7(1):885. doi 10.1038/s41598-017-01005-x</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Xiang J., Sun X., Song N., Ramaswamy S., Abou Tayoun A.N., Peng Z. Comprehensive interpretation of single-nucleotide substitutions in GJB2 reveals the genetic and phenotypic landscape of GJB2-related hearing loss. Hum Genet. 2023;142(1):33-43. doi 10.1007/s00439-022-02479-0</mixed-citation><mixed-citation xml:lang="en">Xiang J., Sun X., Song N., Ramaswamy S., Abou Tayoun A.N., Peng Z. Comprehensive interpretation of single-nucleotide substitutions in GJB2 reveals the genetic and phenotypic landscape of GJB2-related hearing loss. Hum Genet. 2023;142(1):33-43. doi 10.1007/s00439-022-02479-0</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Zinchenko R.A., Kutsev S.I., Aleksandrova O.Yu., Ginter E.K. Main methodological approaches to the identification and diagnosis of monogenic hereditary diseases and problems in the organization of medical care and unified preventive programs. Probl Social Hyg Public Health Hist Med. 2019;27(5):865-877. doi 10.32687/0869-866X-2019-27-5-865-877 (in Russian)</mixed-citation><mixed-citation xml:lang="en">Zinchenko R.A., Kutsev S.I., Aleksandrova O.Yu., Ginter E.K. Main methodological approaches to the identification and diagnosis of monogenic hereditary diseases and problems in the organization of medical care and unified preventive programs. Probl Social Hyg Public Health Hist Med. 2019;27(5):865-877. doi 10.32687/0869-866X-2019-27-5-865-877 (in Russian)</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
