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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/VJ19.37-o</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-2331</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>Актуальные технологии генетики растений</subject></subj-group></article-categories><title-group><article-title>Генетический анализ на основе гаплотипов: проблемы и перспективы</article-title><trans-title-group xml:lang="en"><trans-title>Haplotypes-based genetic analysis: benefits and challenges</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>Сегал</surname><given-names>Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Sehgal</surname><given-names>D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тексоко</p></bio><bio xml:lang="en"><p>Texcoco</p></bio><email xlink:type="simple">d.sehgal@cgiar.org</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>Дрейзигакер</surname><given-names>С.</given-names></name><name name-style="western" xml:lang="en"><surname>Dreisigacker</surname><given-names>S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Тексоко</p></bio><bio xml:lang="en"><p>Texcoco</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Международный центр улучшения кукурузы и пшеницы (CIMMYT)<country>Мексика</country></aff><aff xml:lang="en">International Center for Maize and Wheat Improvement (CIMMYT)<country>Mexico</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>22</day><month>11</month><year>2019</year></pub-date><volume>23</volume><issue>7</issue><fpage>803</fpage><lpage>808</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Сегал Д., Дрейзигакер С., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Сегал Д., Дрейзигакер С.</copyright-holder><copyright-holder xml:lang="en">Sehgal D., Dreisigacker S.</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/2331">https://vavilov.elpub.ru/jour/article/view/2331</self-uri><abstract><p>Возросшая доступность однонуклеотидных полиморфизмов (SNP), разработанных с помощью технологий секвенирования нового поколения (NGS), позволяет проводить генетические исследования культурных растений, которые ранее были невозможны. Одновременно с этим ученые сталкиваются с необходимостью обработки больших массивов данных, полученных на основе полногеномного скрининга. Сложность обработки и интерпретации экспериментальных данных может быть уменьшена за счет сокращения числа статистических тестов и снижения вероятности ложных ассоциаций путем группировки тысяч SNP в несколько сотен блоков гаплотипов. Благодаря устойчивой структуре генома в селекционных линиях большинства культур, построение гаплотипов может стать мощным дополнением для повышения эффективности маркер- ориентированной и геномной селекции. В настоящем обзоре кратко перечислены подходы, традиционно применяемые для конструирования гаплотипных блоков, а также приведены успешные примеры исследований, проведенных на культурных растениях и животных, по диссекции хозяйственно важных признаков на основе гаплотипного анализа. Представлены выводы и важные заключения, сделанные по результатам изучения генома культурных растений с использованием подхода, основанного на анализе гаплотипов.</p></abstract><trans-abstract xml:lang="en"><p>The increasing availability of Single Nucleotide Polymorphisms (SNPs) discovered by Next Generation Sequencing will enable a range of new genetic analyses in crops, which was not possible before. Concomitantly, researchers will face the challenge of handling large data sets at the whole-genome level. By grouping thousands of SNPs into a few hundred haplotype blocks, complexity of the data can be reduced with fewer statistical tests and a lower probability of spurious associations. Owing to the strong genome structure present in breeding lines of most crops, the deployment of haplotypes could be a powerful complement to improve efficiency of marker-assisted and genomic selection. This review describes in brief the commonly used approaches to construct haplotype blocks and some examples in animals and crops are cited where haplotype-based dissection of traits were proven beneficial. Some important considerations and facts while working with haplotypes in crops are reviewed at the end.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>гаплотип</kwd><kwd>GWAS</kwd><kwd>геномная селекция</kwd><kwd>SNP.</kwd></kwd-group><kwd-group xml:lang="en"><kwd>haplotype</kwd><kwd>GWAS</kwd><kwd>genomic selection</kwd><kwd>SNP</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Barendse W. Haplotype analysis improved evidence for candidate genes for intramuscular fat percentage from a genome wide association study of cattle. PLoS One. 2011;6(12):e29601.</mixed-citation><mixed-citation xml:lang="en">Barendse W. 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