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Copy Number Variation: Methods and Clinical Applications

Ondrej Pös, Ján Radvánszky, Jakub Styk, Zuzana Pös, Gergely Buglyó, Michal Kajsík, Jaroslav Budiš, Bálint Nagy, Tomáš Szemes

2021Applied Sciences55 citationsDOIOpen Access PDF

Abstract

Gains and losses of large segments of genomic DNA, known as copy number variants (CNVs) gained considerable interest in clinical diagnostics lately, as particular forms may lead to inherited genetic diseases. In recent decades, researchers developed a wide variety of cytogenetic and molecular methods with different detection capabilities to detect clinically relevant CNVs. In this review, we summarize methodological progress from conventional approaches to current state of the art techniques capable of detecting CNVs from a few bases up to several megabases. Although the recent rapid progress of sequencing methods has enabled precise detection of CNVs, determining their functional effect on cellular and whole-body physiology remains a challenge. Here, we provide a comprehensive list of databases and bioinformatics tools that may serve as useful assets for researchers, laboratory diagnosticians, and clinical geneticists facing the challenge of CNV detection and interpretation.

Topics & Concepts

Copy-number variationComputational biologyComputer scienceBiologyGenomeGeneticsGeneGenomic variations and chromosomal abnormalitiesGenomics and Rare DiseasesCancer Genomics and Diagnostics
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