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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">Acta Naturae</journal-id><journal-title-group><journal-title xml:lang="en">Acta Naturae</journal-title><trans-title-group xml:lang="ru"><trans-title>Acta Naturae</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2075-8251</issn><publisher><publisher-name xml:lang="en">Acta Naturae Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">10773</article-id><article-id pub-id-type="doi">10.32607/20758251-2009-1-3-70-80</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</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">Genome Paths A Way to Personalized and Predictive Medicine</article-title><trans-title-group xml:lang="ru"><trans-title>Genome Paths A Way to Personalized and Predictive Medicine</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name><surname>Baranov</surname><given-names>V S</given-names></name><email>baranov@vb2475.spb.edu</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Ott’s Institute of Obstetrics and Gynecology, Russian Academy of Medical Sciences</institution></aff><aff><institution xml:lang="ru"></institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2009-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2009</year></pub-date><volume>1</volume><issue>3</issue><issue-title xml:lang="en">NO3 (2009)</issue-title><issue-title xml:lang="ru">№3 (2009)</issue-title><fpage>70</fpage><lpage>80</lpage><history><date date-type="received" iso-8601-date="2020-01-17"><day>17</day><month>01</month><year>2020</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2009, Baranov V.S.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2009, Baranov V.S.</copyright-statement><copyright-year>2009</copyright-year><copyright-holder xml:lang="en">Baranov V.S.</copyright-holder><copyright-holder xml:lang="ru">Baranov V.S.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://actanaturae.ru/2075-8251/article/view/10773">https://actanaturae.ru/2075-8251/article/view/10773</self-uri><abstract xml:lang="en"><p/></abstract><trans-abstract xml:lang="ru"><p>The review is devoted to the impact of human genome research on progress in modern medicine. Basic achievements in genome research have resulted in the deciphering of the human genome and creation of a molecular landmarks map of the human haploid genome (HapMap Project), which has made a tremendous contribution to our understanding of common genetic and multifactorial (complex) disorders. Current genome studies mainly focus on genetic testing and gene association studies of multifactorial (complex) diseases, with the purpose of their efficient diagnostics and prevention . Identification of candidate (“predisposition”) genes participating in the functional genetic modules underlying each common disorder and the use of this genetic background to elaborate sophisticated measures to efficiently prevent them constitutes a major goal in personalized molecular medicine. The concept of a genetic pass as an individual DNA databank reflecting inherited human predisposition to different complex and monogenic disorders, with special emphasis on its present state, and the numerous difficulties related to the practical implementation of personalized medicine are outlined. The problems related to the uncertainness of the results of genetic testing could be overcome at least partly by means of new technological achievements in genome research methods, such as genome-wide association studies (GWAS), massive parallel DNA sequencing, and genetic and epigenetic profiling. The basic tasks of genomic today could be determined as the need to properly estimate the clinical value of genetic testing and its applicability in clinical practice. Feasible ways towards the gradual implementation of personal genetic data, in line with routine laboratory tests, for the benefit of clinical practice are discussed.</p></trans-abstract><kwd-group xml:lang="en"><kwd>genomics</kwd><kwd>genetic testing</kwd><kwd>multifactorial diseases</kwd><kwd>genetic passport</kwd><kwd>genome wide association studies</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Collins F.S., McKusick V.A. // J.Am. Med. Ass. 2001.V. 285. № 5. P. 540–544.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Collins F.S. Shattuck. // New Engl. J. Med. 1999. V. 341. №.1. P. 28–37.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Bochkov N.P. // Vestnick Russian Academy of Med.Sci 2001.- № 4 P. 4-13.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Baranov V.S., Kiselev L.L. 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