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Algorithm for molecular diagnosis of hereditary pathology associated with single-gene CNVs

https://doi.org/10.25557/2073-7998.2022.11.36-39

Abstract

Single-gene copy number variations (CNVs) in patients with impaired psychomotor development are detected with a frequency of up to 10%. The outcome of this type of aberration is more obvious if a dosage-sensitive gene associated with the disease is affected. However, a pathological phenotype can also be formed as a result of hemizygotization of a recessive nucleotide sequence variant from an intact homologue or by combining CNV and a nucleotide variant (compound heterozygote). We have developed and tested for 1176 patients an algorithm for the molecular diagnosis of hereditary pathology associated with single-gene CNV. Pathogenic, likely pathogenic and structural chromosomal aberrations with uncertain clinical significance were detected in 478 probands (40.6%), including monogenic CNV in 60 patients (5.1%). Among 32 single-gene aberrations, the presence of which was confirmed by real-time PCR, most were inherited from healthy parents (23 CNV or 72%). Seven patients underwent sequencing. Not a single pathogenic nucleotide sequence variant was identified on the intact homologue, but in some cases, previously unreported variants of uncertain significance were found in genes not involved in CNV.

About the Authors

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


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


O. Yu. Vasilyeva
Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences
Russian Federation


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


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


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


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


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


References

1. Boone P.M., Bacino C.A., Shaw C.A. et al. Detection of clinically relevant exonic copy-number changes by array CGH. Hum Mutat. 2010;31(12):1326-42.

2. Lindy A.S., Stosser M.B., Butler E. et al. Diagnostic outcomes for genetic testing of 70 genes in 8565 patients with epilepsy and neurodevelopmental disorders. Epilepsia. 2018;59(5):1062-1071.

3. Truty R., Paul J., Kennemer M., Lincoln S.E. et al. Prevalence and properties of intragenic copy-number variation in Mendelian disease genes. Genet Med. 2019;21(1):114-123.

4. Brandt T., Sack L.M., Arjona D. et al. Adapting ACMG/AMP sequence variant classification guidelines for single-gene copy number variants. Genet Med. 2020;22(2):336-344.

5. Gridina M.M., Matveeva N.M., Fishman V.S. et al. Allele-specific biased expression of the CNTN6 gene in iPS cell-derived neurons from a patient with intellectual disability and 3p26.3 microduplication involving the CNTN6 gene. Mol Neurobiol. 2018;55(8):6533-6546.

6. Кашеварова А.А., Лопаткина М.Е., Беляева Е.О. и др. Распространенность и спектр моногенных CNV у пациентов с нарушениями интеллектуального развития. Медицинская генетика. 2021;10(231):44-46.

7. Ivanovic V., Brankovic M., Bjelica B. et al. Yield of the PMP22 deletion analysis in patients with compression neuropathies. J Neurol. 2020;267(12):3617-3623.


Review

For citations:


Kashevarova A.A., Lopatkina M.E., Vasilyeva O.Yu., Fedotov D.A., Fonova E.A., Sivtsev A.A., Zarubin A.A., Lebedev I.N. Algorithm for molecular diagnosis of hereditary pathology associated with single-gene CNVs. Medical Genetics. 2022;21(11):36-39. (In Russ.) https://doi.org/10.25557/2073-7998.2022.11.36-39

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ISSN 2073-7998 (Print)