Preview

Medical Genetics

Advanced search

Application of monomolecular sequencing technology to the diagnostics of hypertrophic cardiomyopathy

https://doi.org/10.25557/2073-7998.2020.05.9-10

Abstract

The paper presents the results of sequencing of five genes associated with hypertrophic cardiomyopathy, using monomolecular sequencing (Oxford Nanopore Technologies). As a result of data analysis with various algorithms, missense variants were identified in the studied genes that may be the cause of the disease in the patients.

About the Authors

R. R. Salakhov
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


M. V. Golubenko
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


E. N. Pavlukova
Cardiology Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


A. V. Markov
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


N. P. Babushkina
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


A. F. Kanev
Cardiology Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


N. R. Valiahmetov
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


M. C. Nazarenko
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


Review

For citations:


Salakhov R.R., Golubenko M.V., Pavlukova E.N., Markov A.V., Babushkina N.P., Kanev A.F., Valiahmetov N.R., Nazarenko M.C. Application of monomolecular sequencing technology to the diagnostics of hypertrophic cardiomyopathy. Medical Genetics. 2020;19(5):9-10. (In Russ.) https://doi.org/10.25557/2073-7998.2020.05.9-10

Views: 466


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2073-7998 (Print)