Literature DB >> 22228019

Targeted screening and validation of copy number variations.

Shana Ceulemans1, Karlijn van der Ven, Jurgen Del-Favero.   

Abstract

The accessibility of genome-wide screening technologies considerably facilitated the identification and characterization of copy number variations (CNVs). The increasing amount of available data describing these variants, clearly demonstrates their abundance in the human genome. This observation shows that not only SNPs, but also CNVs and other structural variants strongly contribute to genetic variation. Even though not all structural variants have an obvious phenotypic effect, there is evidence that CNVs influence gene dosage and hence can have profound effects on human disease susceptibility, disease manifestation, and disease severity. Therefore, CNV screening and analysis methodologies, specifically focusing on disease-related CNVs are actively progressing. This chapter specifically describes different techniques currently available for the targeted screening and validation of CNVs. We not only provide an overview of all these CNV analysis methods, but also address their strong and weak points. Methods covered include fluorescence in situ hybridization (FISH), quantitative real-time PCR (qPCR), paralogue ratio test (PRT), molecular copy-number counting (MCC), and multiplex PCR-based approaches, such as multiplex amplifiable probe hybridization (MAPH), multiplex ligation-dependent probe amplification (MLPA), multiplex PCR-based real-time invader assay (mPCR-RETINA), quantitative multiplex PCR of short fluorescent fragments (QMPSF), and multiplex amplicon quantification (MAQ). We end with some general remarks and conclusions, furthermore briefly addressing the future perspectives.

Entities:  

Mesh:

Year:  2012        PMID: 22228019     DOI: 10.1007/978-1-61779-507-7_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  15 in total

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Review 2.  Current analysis platforms and methods for detecting copy number variation.

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Journal:  Physiol Genomics       Date:  2012-11-06       Impact factor: 3.107

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Journal:  Hum Genet       Date:  2013-06-30       Impact factor: 4.132

4.  Quantitative multiplex PCR of short fluorescent fragments for the detection of large intragenic POLG rearrangements in a large French cohort.

Authors:  Cécile Rouzier; Annabelle Chaussenot; Valérie Serre; Konstantina Fragaki; Sylvie Bannwarth; Samira Ait-El-Mkadem; Shahram Attarian; Elsa Kaphan; Aline Cano; Emilien Delmont; Sabrina Sacconi; Bénédicte Mousson de Camaret; Marlène Rio; Anne-Sophie Lebre; Claude Jardel; Romain Deschamps; Christian Richelme; Jean Pouget; Brigitte Chabrol; Véronique Paquis-Flucklinger
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Review 5.  Appraisal of the technologies and review of the genomic landscape of ductal carcinoma in situ of the breast.

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6.  Accurate clinical detection of exon copy number variants in a targeted NGS panel using DECoN.

Authors:  Anna Fowler; Shazia Mahamdallie; Elise Ruark; Sheila Seal; Emma Ramsay; Matthew Clarke; Imran Uddin; Harriet Wylie; Ann Strydom; Gerton Lunter; Nazneen Rahman
Journal:  Wellcome Open Res       Date:  2016-11-25

7.  Frequency of KLK3 gene deletions in the general population.

Authors:  Santiago Rodriguez; Osama A Al-Ghamdi; Philip Ai Guthrie; Hashem A Shihab; Wendy McArdle; Tom Gaunt; Khalid K Alharbi; Ian Nm Day
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Review 8.  Understanding genomics and the immune environment of penile cancer to improve therapy.

Authors:  Ahmet Murat Aydin; Jad Chahoud; Jacob J Adashek; Mounsif Azizi; Anthony Magliocco; Jeffrey S Ross; Andrea Necchi; Philippe E Spiess
Journal:  Nat Rev Urol       Date:  2020-08-18       Impact factor: 14.432

9.  Methods for applying accurate digital PCR analysis on low copy DNA samples.

Authors:  Alexandra S Whale; Simon Cowen; Carole A Foy; Jim F Huggett
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

10.  Systematic biases in DNA copy number originate from isolation procedures.

Authors:  Sebastiaan van Heesch; Michal Mokry; Veronika Boskova; Wade Junker; Rajdeep Mehon; Pim Toonen; Ewart de Bruijn; James D Shull; Timothy J Aitman; Edwin Cuppen; Victor Guryev
Journal:  Genome Biol       Date:  2013-04-24       Impact factor: 13.583

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