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Progress in Methods for Copy Number Variation Profiling

Copy number variations (CNVs) are the predominant class of structural genomic variations involved in the processes of evolutionary adaptation, genomic disorders, and disease progression. Compared with single-nucleotide variants, there have been challenges associated with the detection of CNVs owing...

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Detalles Bibliográficos
Autores principales: Gordeeva, Veronika, Sharova, Elena, Arapidi, Georgij
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879278/
https://www.ncbi.nlm.nih.gov/pubmed/35216262
http://dx.doi.org/10.3390/ijms23042143
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author Gordeeva, Veronika
Sharova, Elena
Arapidi, Georgij
author_facet Gordeeva, Veronika
Sharova, Elena
Arapidi, Georgij
author_sort Gordeeva, Veronika
collection PubMed
description Copy number variations (CNVs) are the predominant class of structural genomic variations involved in the processes of evolutionary adaptation, genomic disorders, and disease progression. Compared with single-nucleotide variants, there have been challenges associated with the detection of CNVs owing to their diverse sizes. However, the field has seen significant progress in the past 20–30 years. This has been made possible due to the rapid development of molecular diagnostic methods which ensure a more detailed view of the genome structure, further complemented by recent advances in computational methods. Here, we review the major approaches that have been used to routinely detect CNVs, ranging from cytogenetics to the latest sequencing technologies, and then cover their specific features.
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spelling pubmed-88792782022-02-26 Progress in Methods for Copy Number Variation Profiling Gordeeva, Veronika Sharova, Elena Arapidi, Georgij Int J Mol Sci Review Copy number variations (CNVs) are the predominant class of structural genomic variations involved in the processes of evolutionary adaptation, genomic disorders, and disease progression. Compared with single-nucleotide variants, there have been challenges associated with the detection of CNVs owing to their diverse sizes. However, the field has seen significant progress in the past 20–30 years. This has been made possible due to the rapid development of molecular diagnostic methods which ensure a more detailed view of the genome structure, further complemented by recent advances in computational methods. Here, we review the major approaches that have been used to routinely detect CNVs, ranging from cytogenetics to the latest sequencing technologies, and then cover their specific features. MDPI 2022-02-15 /pmc/articles/PMC8879278/ /pubmed/35216262 http://dx.doi.org/10.3390/ijms23042143 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Gordeeva, Veronika
Sharova, Elena
Arapidi, Georgij
Progress in Methods for Copy Number Variation Profiling
title Progress in Methods for Copy Number Variation Profiling
title_full Progress in Methods for Copy Number Variation Profiling
title_fullStr Progress in Methods for Copy Number Variation Profiling
title_full_unstemmed Progress in Methods for Copy Number Variation Profiling
title_short Progress in Methods for Copy Number Variation Profiling
title_sort progress in methods for copy number variation profiling
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879278/
https://www.ncbi.nlm.nih.gov/pubmed/35216262
http://dx.doi.org/10.3390/ijms23042143
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