Modern probabilistic and statistical approaches to search for nucleotide sequence options associated with integrated diseases
- Авторлар: Rytova A.I.1,2, Khlebus E.Y.1,3, Shevtsov A.E.2, Kutsenko V.A.2, Shcherbakova N.V.1, Zharikova A.A.1, Ershova A.I.1, Kiseleva A.V.1, Boytsov S.A.1, Yarovaya E.B.1,2, Meshkov A.N.1,4
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Мекемелер:
- National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation
- Department of Probability Theory
- Moscow Institute of Physics and Technology (State University)
- Department of Molecular and Cell Genetics
- Шығарылым: Том 53, № 10 (2017)
- Беттер: 1091-1104
- Бөлім: Reviews and Theoretical Articles
- URL: https://journals.rcsi.science/1022-7954/article/view/188472
- DOI: https://doi.org/10.1134/S1022795417100088
- ID: 188472
Дәйексөз келтіру
Аннотация
Complex diseases are a major important problem for modern medicine. These diseases arise under the influence of specific environmental and clinical-demographic factors, so-called risk factors, in combination with factors of genetic heredity. The contribution of genetic factors to the development of complex diseases is on average about 50%. The cause of complex diseases can be a lot of variants of the nucleotide sequence. In addition to common variants of single nucleotide polymorphisms (SNPs), rare variants also play a role in the development of complex diseases. This review presents modern probabilistic and statistical approaches to the search for gene variants and their combinations associated with complex diseases with an emphasis on methods for finding rare and unique variants. A comparative analysis of these approaches is performed, and a number of problems requiring resolution are formulated.
Авторлар туралы
A. Rytova
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation; Department of Probability Theory
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990; Moscow, 119991
E. Khlebus
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation; Moscow Institute of Physics and Technology (State University)
Хат алмасуға жауапты Автор.
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990; Dolgoprudny, Moscow oblast, 141701
A. Shevtsov
Department of Probability Theory
Email: elkhlebus@gmail.com
Ресей, Moscow, 119991
V. Kutsenko
Department of Probability Theory
Email: elkhlebus@gmail.com
Ресей, Moscow, 119991
N. Shcherbakova
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990
A. Zharikova
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990
A. Ershova
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990
A. Kiseleva
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990
S. Boytsov
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990
E. Yarovaya
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation; Department of Probability Theory
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990; Moscow, 119991
A. Meshkov
National Research Center for Preventive Medicine of the Ministry of Healthcare of the Russian Federation; Department of Molecular and Cell Genetics
Email: elkhlebus@gmail.com
Ресей, Moscow, 101990; Moscow, 117997
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