ssmuБюллетень сибирской медициныBulletin of Siberian Medicine1682-03631819-3684Siberian State Medical University, the Ministry of Healthcare of the Russian Federation10.20538/1682-0363-2015-6-33-39ssmu-374Research ArticleОРИГИНАЛЬНЫЕ СТАТЬИORIGINAL PAPERSНОВЫЕ ГЕНЫ-КАНДИДАТЫ ПОДВЕРЖЕННОСТИ ТУБЕРКУЛЕЗУ, УСТАНОВЛЕННЫЕ С ПОМОЩЬЮ ПОСТРОЕНИЯ И АНАЛИЗА АССОЦИАТИВНЫХ СЕТЕЙNEW CANDIDATE GENES FOR SUSCEPTIBILITY TO TUBERCULOSIS IDENTIFIED THROUGH THE CONSTRUCTION AND ANALYSIS OF ASSOCIATIVE NETWORKSБрагинаЕ. Ю.BraginaYe. Yu.

канд. биол. наук, науч. сотрудник лаборатории популяционной генетики НИИ медицинской генетики (г. Томск)  тел. 8 (3822) 51-31-46

Research Institute for Medical Genetics, Tomsk, Russian Federation +7 (3822) 51-31-46

elena.bragina72@gmail.comРудкоА. А.RudkoA. A.

канд. мед. наук, гл. врач клиники НИИ медицинской генетики (г. Томск)

Research Institute for Medical Genetics, Tomsk, Russian Federation

ТийсЕ. С.TiysYe. S.

мл. науч. сотрудник лаборатории компьютерной протеомики, Федеральный исследовательский центр Институт цитологии и генетики СО РАН (г. Новосибирск)

Federal Research Center Institute of Cytology and Genetics The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation

ИванисенкоВ. А.IvanisenkoV. A.

канд. биол. наук, зав. лабораторией компьютерной протеомики, Федеральный исследовательский центр Институт цитологии и генетики СО РАН (г. Новосибирск)

Federal Research Center Institute of Cytology and Genetics The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation

ФрейдинМ. Б.FreidinM. B.

д-р биол. наук, ст. науч. сотрудник лаборатории популяционной генетики НИИ медицинской генетики (г. Томск)

Research Institute for Medical Genetics, Tomsk, Russian Federation

ФГБНУ «НИИ медицинской генетики», г. ТомскРоссияResearch Institute for Medical Genetics, Tomsk, Russian FederationRussian FederationФГБНУ «Федеральный исследовательский центр Институт цитологии и генетики СО РАН», г. НовосибирскРоссияFederal Research Center Institute of Cytology and Genetics The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian FederationRussian Federation2015281220151463339Copyright © Брагина Е.Ю., Рудко А.А., Тийс Е.С., Иванисенко В.А., Фрейдин М.Б., 20152015Брагина Е.Ю., Рудко А.А., Тийс Е.С., Иванисенко В.А., Фрейдин М.Б.Bragina Y.Y., Rudko A.A., Tiys Y.S., Ivanisenko V.A., Freidin M.B.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://bulletin.ssmu.ru/jour/article/view/374

Туберкулез (ТБ) является распространенным заболеванием, развитие которого вызвано инфекцией Mycobacterium tuberculosis при модифицирующем влиянии наследственных и средовых факторов. Накопленные к настоящему времени геномные данные способствуют пониманию наследственных основ развития заболевания с использованием новых методологических подходов, в том числе анализа ассоциативных сетей. В настоящем исследовании выполнены реконструкция и анализ ассоциативной сети, представляющей собой молекулярно-генетические взаимосвязи между белками и генами, участвующими в развитии ТБ. Преимущественно в ассоциативной сети находятся хорошо изученные белки и гены, способные оказывать решающее значение в повышении эффективности иммунного ответа организ-ма человека против патогена. Однако, благодаря данному подходу, выявлено 12 новых генов, кодирующих соответствующие белки в ассоциативной сети, полиморфизм которых не изучен в связи с развитием ТБ.

Tuberculosis (TB) is a common disease caused by infection of Mycobacterium tuberculosis and influenced by host hereditary and environmental factors. Accumulated genomic data obtained through the use of new methodological approaches, including analysis of associative networks, contribute to the understanding of the hereditary basis of the disease. In the current study, we carried out the reconstruction and analysis of associative network representing molecular genetic links between proteins/genes involved in the development of TB. In the associative network, well studied proteins and genes with a decisive importance in the efficiency of the human immune response against a pathogen predominated. However, this approach identified 12 new genes encoding for the respective proteins in the associative network polymorphismsof which has not been studied regarding the development of TB.

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The authors declare that there are no conflicts of interest present.