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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Annals of the Russian academy of medical sciences</journal-id><journal-title-group><journal-title xml:lang="en">Annals of the Russian academy of medical sciences</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российской академии медицинских наук</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0869-6047</issn><issn publication-format="electronic">2414-3545</issn><publisher><publisher-name xml:lang="en">"Paediatrician" Publishers LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1513</article-id><article-id pub-id-type="doi">10.15690/vramn1513</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>OBSTETRICS AND GYNECOLOGY: CURRENT ISSUES</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>АКТУАЛЬНЫЕ ВОПРОСЫ АКУШЕРСТВА И ГИНЕКОЛОГИИ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Predicting the Development of Great Obstetric Syndromes Based on Multilocus Genetic Analysis: Results of a Retrospective Comparative Cohort Study</article-title><trans-title-group xml:lang="ru"><trans-title>Прогнозирование развития больших акушерских синдромов на основании мультилокусного генетического анализа: результаты ретроспективного сравнительного когортного исследования</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2797-1926</contrib-id><contrib-id contrib-id-type="scopus">57211989398</contrib-id><contrib-id contrib-id-type="spin">7232-3743</contrib-id><name-alternatives><name xml:lang="en"><surname>Kudryavtseva</surname><given-names>Elena V.</given-names></name><name xml:lang="ru"><surname>Кудрявцева</surname><given-names>Елена Владимировна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, PhD, Assistant Professor, Department of obstetrics and Gynecology </p></bio><bio xml:lang="ru"><p>доцент кафедры акушерства и гинекологии, кандидат медицинских наук</p></bio><email>elenavladpopova@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8640-8418</contrib-id><contrib-id contrib-id-type="scopus">56204175600</contrib-id><contrib-id contrib-id-type="spin">2061-0704</contrib-id><name-alternatives><name xml:lang="en"><surname>Kovalev</surname><given-names>Vladislav V.</given-names></name><name xml:lang="ru"><surname>Ковалев</surname><given-names>Владислав Викторович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>DM, PhD, Professor, Head of the Department, Department of Obstetrics and Gynecology, Transfusiology</p></bio><bio xml:lang="ru"><p>доктор медицинских наук, профессор, заведующий кафедрой акушерства и гинекологии, трансфузиологии</p></bio><email>vvlovalev55@gmail.com</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9813-2823</contrib-id><contrib-id contrib-id-type="scopus">57191908565</contrib-id><contrib-id contrib-id-type="spin">4224-0437</contrib-id><name-alternatives><name xml:lang="en"><surname>Baranov</surname><given-names>Igor I.</given-names></name><name xml:lang="ru"><surname>Баранов</surname><given-names>Игорь Иванович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>PhD, MD, Professor</p></bio><bio xml:lang="ru"><p>доктор медицинских наук, профессор, заведующий отделом научно-образовательных программ Департамента организации научной деятельности </p></bio><email>i_baranov@oparina4.ru</email><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6149-2721</contrib-id><contrib-id contrib-id-type="spin">6502-1953</contrib-id><name-alternatives><name xml:lang="en"><surname>Ugarov</surname><given-names>Igor V.</given-names></name><name xml:lang="ru"><surname>Угаров</surname><given-names>Игорь Викторович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>MD, PhD, General manager</p></bio><bio xml:lang="ru"><p>Генеральный директор</p></bio><email>iugarov@yandex.ru</email><xref ref-type="aff" rid="aff4"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Ural state medical universiry</institution></aff><aff><institution xml:lang="ru">Уральский государственный медицинский университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Ural state medical university</institution></aff><aff><institution xml:lang="ru">Уральский государственный медицинский университет</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Nationa Medical Research Center Obsterics, Gynecology and Perinatology the name of Academician V.I. Kulakov</institution></aff><aff><institution xml:lang="ru">Национальный медицинский исследовательский центр акушерства, гинекологии и перинатологии имени академика В.И. Кулакова</institution></aff></aff-alternatives><aff-alternatives id="aff4"><aff><institution xml:lang="en">xGen Cybernetics LLC</institution></aff><aff><institution xml:lang="ru">ООО "эксДжен Сайбернетикс"</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2021-09-03" publication-format="electronic"><day>03</day><month>09</month><year>2021</year></pub-date><volume>76</volume><issue>3</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>244</fpage><lpage>253</lpage><history><date date-type="received" iso-8601-date="2021-01-31"><day>31</day><month>01</month><year>2021</year></date><date date-type="accepted" iso-8601-date="2021-06-30"><day>30</day><month>06</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, "Paediatrician" Publishers LLC</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Издательство "Педиатръ"</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">"Paediatrician" Publishers LLC</copyright-holder><copyright-holder xml:lang="ru">Издательство "Педиатръ"</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2022-09-03"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://vestnikramn.spr-journal.ru/jour/about/submissions</ali:license_ref></license></permissions><self-uri xlink:href="https://vestnikramn.spr-journal.ru/jour/article/view/1513">https://vestnikramn.spr-journal.ru/jour/article/view/1513</self-uri><abstract xml:lang="en"><p><bold>Background. </bold>Great obstetric syndromes are pathological conditions, related to the level of maternal, perinatal and infant morbidity and mortality. There is a genetic component in the development of pregnancy complications, as evidenced by numerous clinical observations and research results. <bold>Purpose </bold>— to study the frequency characteristics of the occurrence of polymorphic variants of various genes and their combinations in patients who underwent pregnancy complicated by great obstetric syndromes in comparison with women whose pregnancy proceeded without complications and successfully ended with the birth of a live full-term baby. <bold>Methods.</bold> A retrospective comparative cohort study was conducted. Molecular genetic research was carried out in 391 women: 279 women who underwent one of the verified clinical forms related to great obstetric syndromes (main group), 112 women were included in the control group. 37 polymorphisms in 33 genes were studied (FGB, F2, F5, F7, F13, GPIa, GPIIIa, GPVI, PROC, PAI1, PLAT, MTHFR, MTHFD, MTRR, MTR, SLC19A1, CBS, NOS3, END1, ACE, ADD1, AGT , CYP11B2, GSTM, GSTT, GSTP1, MnSOD, GPX1, IL1β, TNF-a, ESR1, ESR2, PGR). <bold>Results.</bold> The most significant polymorphisms and their combinations were identified. In the main group, the following combinations were more common: ACE Alu I/D ID + AGT А704G GG, AGT А704G GG + MTRR A66G AG, F7 G10976A GG + AGT А704G GG, F7 G10976A GG + F13 G103A GG, F7 G10976A GG + GPIa С807T CC, F7 G10976A GG + MTHFR C677T CC, CYP11B2 G-344A GA + IL1β G+3953A GA, PAI1-657 5G/4G 5G4G + IL1β G+3953A AA, PAI1-657 5G/4G 4G4G + IL1β G+3953A AA, in control group — AGT A704G AA + MTRR A66G AG, AGT A704G AG + MTRR A66G AG (the differences are statistically significant). To simplify the practical application of the analysis for genetic polymorphisms, a computer program named GOS RISK was created to assess the risk of pregnancy complications. The sensitivity and specificity were 70.8% and 78.8%, the efficiency of the method — 74.8%. <bold>Conclusion.</bold> Analysis of individual polymorphic variants of genes indicates their role in the discussed pathology. Creation of computer programs based on multilocus genome analysis increases the predictive value of molecular genetic studies.</p></abstract><trans-abstract xml:lang="ru"><p><bold>Обоснование.</bold> Большие акушерские синдромы — это патологические состояния, которые напрямую связаны с уровнем материнской, перинатальной и младенческой заболеваемости и смертности. В развитии осложнений беременности явно существует генетический компонент, о чем свидетельствуют многочисленные клинические наблюдения и результаты научных исследований. <bold>Цель исследования</bold> — изучение частотных характеристик встречаемости полиморфных вариантов различных генов и их сочетаний у пациенток, перенесших беременность, осложненную большими акушерскими синдромами, в сравнении с женщинами, беременность у которых протекала без осложнений и благополучно завершилась рождением живого доношенного ребенка. <bold>Методы.</bold> Проведено ретроспективное сравнительное когортное исследование. Молекулярно-генетический анализ выполнен у 391 женщины: 279 женщин, перенесших одну из верифицированных клинических форм, относящихся к большим акушерским синдромам, составили основную группу, а 112 женщин, благополучно доносивших беременность, — контрольную. Изучено 37 полиморфизмов в 33 генах (FGB, F2, F5, F7, F13, GPIa, GPIIIa, GPVI, PROC, PAI1, PLAT, MTHFR, MTHFD, MTRR, MTR, SLC19A1, CBS, NOS3, END1, ACE, ADD1, AGT, CYP11B2, GSTM, GSTT, GSTP1, MnSOD, GPX1, IL1β, TNF-a, ESR1, ESR2, PGR). <bold>Результаты. </bold>Выделены наиболее значимые полиморфизмы среди исследуемых генов и их сочетания, повышающие риск развития больших акушерских синдромов. В основной группе чаще встречались следующие комбинации: ACE Alu I/D ID + AGT А704G GG, AGT А704G GG + MTRR A66G AG, F7 G10976A GG + AGT А704G GG, F7 G10976A GG + F13 G103A GG, F7 G10976A GG + GPIa С807T CC, F7 G10976A GG + MTHFR C677T CC, CYP11B2 G-344A GA + IL1β G+3953A GA, PAI1-657 5G/4G 5G4G + IL1β G+3953A AA, PAI1-657 5G/4G 4G4G + IL1β G+3953A AA, в контрольной группе — AGT A704G AA + MTRR A66G AG, AGT A704G AG + MTRR A66G AG (различия статистически значимы). Для упрощения применения в практических целях анализа на полиморфизмы в различных генах на основе результатов нашей работы была создана компьютерная программа для оценки риска осложнений беременности GOS RISK. Чувствительность и специфичность способа составили соответственно 70,8 и 78,8%, эффективность — 74,8%. <bold>Заключение. </bold>Подводя итоги выполненного исследования, необходимо отметить, что большие акушерские синдромы во многом генетически детерминированы. Анализ частотного представительства отдельных полиморфных вариантов генов указывает на их определенную роль в формировании обсуждаемой патологии. Создание компьютерных программ, основанных на мультилокусном анализе генома, повышает предсказательную ценность молекулярно-генетических исследований.</p></trans-abstract><kwd-group xml:lang="en"><kwd>great obstetric syndromes</kwd><kwd>genetic thrombophilia</kwd><kwd>preeclampsia</kwd><kwd>pregnancy complications</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>большие акушерские синдромы</kwd><kwd>генетическая тромбофилия</kwd><kwd>преэклампсия</kwd><kwd>осложнения беременности</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Romero R. Prenatal medicine: The child is the father of the man. 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