New approaches to the selection of genetic markers associated with multifactorial phenotypic traits


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Modern approaches to searching for associations between the studied phenotype and structural variations of the human genome are analyzed. Most complex phenotypic traits, including diseases, do not follow the laws of Mendelian inheritance, but have a multi-factor nature, that is, a significant contribution to their development is made by the genetic component in combination with the influence of environmental factors. In General, there are several approaches to the design of a limited set of polymorphic markers for point genotyping. Selection of individual molecular genetic markers is carried out based on either their statistically significant Association with the studied multivariate feature, or their functional significance for the implementation of this feature. The «candidate gene» approach allows you to focus on one or more polymorphic variants in the region of a gene (allelic variant), the product of which is likely involved in the development of a disease or trait. The cheaper procedure for full-genome screening using ultra-high-density microchips has made available another approach for searching for genetic predispositions - full - genome Association search. We believe that the unification of both approaches into a single algorithm for the choice of molecular genetic markers to conduct point genotyping will allow for both markers selected based on a priori assumptions about the functional significance of candidate genes, and Association with the studied trait on the basis of genome-wide associations search. This approach will optimize the diagnostic efficiency of the created test suite.

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G. Kutelev

Military Medical Academy. S. M. Kirov

编辑信件的主要联系方式.
Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

A. Krivoruchko

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

A. Trandina

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

A. Ivanov

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

D. Cherkashin

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

A. Marchenko

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

S. Grishaev

Military Medical Academy. S. M. Kirov

Email: vmeda-nio@mil.ru
俄罗斯联邦, Saint Petersburg

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版权所有 © Kutelev G.G., Krivoruchko A.B., Trandina A.E., Ivanov A.M., Cherkashin D.V., Marchenko A.A., Grishaev S.L., 2020

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此作品已接受知识共享署名-非商业性使用-禁止演绎 4.0国际许可协议的许可。

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