Literature DB >> 31292136

A Simple, Universal, and Cost-Efficient Digital PCR Method for the Targeted Analysis of Copy Number Variations.

Kévin Cassinari1, Olivier Quenez2, Géraldine Joly-Hélas1, Ludivine Beaussire1, Nathalie Le Meur1, Mathieu Castelain1, Alice Goldenberg1, Anne-Marie Guerrot1, Anne-Claire Brehin1, Jean-François Deleuze3, Anne Boland3, Anne Rovelet-Lecrux2, Dominique Campion2,4, Pascale Saugier-Veber1, Nicolas Gruchy5, Thierry Frebourg1, Gaël Nicolas2, Nasrin Sarafan-Vasseur1, Pascal Chambon6.   

Abstract

BACKGROUND: Rare copy number variations (CNVs) are a major cause of genetic diseases. Simple targeted methods are required for their confirmation and segregation analysis. We developed a simple and universal CNV assay based on digital PCR (dPCR) and universal locked nucleic acid (LNA) hydrolysis probes.
METHODS: We analyzed the mapping of the 90 LNA hydrolysis probes from the Roche Universal ProbeLibrary (UPL). For each CNV, selection of the optimal primers and LNA probe was almost automated; probes were reused across assays and each dPCR assay included the CNV amplicon and a reference amplicon. We assessed the assay performance on 93 small and large CNVs and performed a comparative cost-efficiency analysis.
RESULTS: UPL-LNA probes presented nearly 20000000 occurrences on the human genome and were homogeneously distributed with a mean interval of 156 bp. The assay accurately detected all the 93 CNVs, except one (<200 bp), with coefficient of variation <10%. The assay was more cost-efficient than all the other methods.
CONCLUSIONS: The universal dPCR CNV assay is simple, robust, and cost-efficient because it combines a straightforward design allowed by universal probes and end point PCR, the advantages of a relative quantification of the target to the reference within the same reaction, and the high flexibility of the LNA hydrolysis probes. This method should be a useful tool for genomic medicine, which requires simple methods for the interpretation and segregation analysis of genomic variations.
© 2019 American Association for Clinical Chemistry.

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Year:  2019        PMID: 31292136     DOI: 10.1373/clinchem.2019.304246

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  3 in total

1.  Detection of copy-number variations from NGS data using read depth information: a diagnostic performance evaluation.

Authors:  Olivier Quenez; Kevin Cassinari; Sophie Coutant; François Lecoquierre; Kilan Le Guennec; Stéphane Rousseau; Anne-Claire Richard; Stéphanie Vasseur; Emilie Bouvignies; Jacqueline Bou; Gwendoline Lienard; Sandrine Manase; Steeve Fourneaux; Nathalie Drouot; Virginie Nguyen-Viet; Myriam Vezain; Pascal Chambon; Géraldine Joly-Helas; Nathalie Le Meur; Mathieu Castelain; Anne Boland; Jean-François Deleuze; Isabelle Tournier; Françoise Charbonnier; Edwige Kasper; Gaëlle Bougeard; Thierry Frebourg; Pascale Saugier-Veber; Stéphanie Baert-Desurmont; Dominique Campion; Anne Rovelet-Lecrux; Gaël Nicolas
Journal:  Eur J Hum Genet       Date:  2020-06-26       Impact factor: 4.246

2.  Simultaneous detection of EGFR amplification and EGFRvIII variant using digital PCR-based method in glioblastoma.

Authors:  Maxime Fontanilles; Florent Marguet; Philippe Ruminy; Carole Basset; Adrien Noel; Ludivine Beaussire; Mathieu Viennot; Pierre-Julien Viailly; Kevin Cassinari; Pascal Chambon; Doriane Richard; Cristina Alexandru; Isabelle Tennevet; Olivier Langlois; Frédéric Di Fiore; Annie Laquerrière; Florian Clatot; Nasrin Sarafan-Vasseur
Journal:  Acta Neuropathol Commun       Date:  2020-04-17       Impact factor: 7.801

3.  Complement C4 Gene Copy Number Variation Genotyping by High Resolution Melting PCR.

Authors:  Claudia P Jaimes-Bernal; Monte Trujillo; Francisco José Márquez; Antonio Caruz
Journal:  Int J Mol Sci       Date:  2020-08-31       Impact factor: 5.923

  3 in total

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