Literature DB >> 24105367

Mate pair sequencing for the detection of chromosomal aberrations in patients with intellectual disability and congenital malformations.

Sarah Vergult1, Ellen Van Binsbergen2, Tom Sante1, Silke Nowak1, Olivier Vanakker1, Kathleen Claes1, Bruce Poppe1, Nathalie Van der Aa3, Markus J van Roosmalen2, Karen Duran2, Masoumeh Tavakoli-Yaraki2, Marielle Swinkels2, Marie-José van den Boogaard2, Mieke van Haelst2, Filip Roelens4, Frank Speleman1, Edwin Cuppen2, Geert Mortier5, Wigard P Kloosterman2, Björn Menten1.   

Abstract

Recently, microarrays have replaced karyotyping as a first tier test in patients with idiopathic intellectual disability and/or multiple congenital abnormalities (ID/MCA) in many laboratories. Although in about 14-18% of such patients, DNA copy-number variants (CNVs) with clinical significance can be detected, microarrays have the disadvantage of missing balanced rearrangements, as well as providing no information about the genomic architecture of structural variants (SVs) like duplications and complex rearrangements. Such information could possibly lead to a better interpretation of the clinical significance of the SV. In this study, the clinical use of mate pair next-generation sequencing was evaluated for the detection and further characterization of structural variants within the genomes of 50 ID/MCA patients. Thirty of these patients carried a chromosomal aberration that was previously detected by array CGH or karyotyping and suspected to be pathogenic. In the remaining 20 patients no causal SVs were found and only benign aberrations were detected by conventional techniques. Combined cluster and coverage analysis of the mate pair data allowed precise breakpoint detection and further refinement of previously identified balanced and (complex) unbalanced aberrations, pinpointing the causal gene for some patients. We conclude that mate pair sequencing is a powerful technology that can provide rapid and unequivocal characterization of unbalanced and balanced SVs in patient genomes and can be essential for the clinical interpretation of some SVs.

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Year:  2013        PMID: 24105367      PMCID: PMC3992577          DOI: 10.1038/ejhg.2013.220

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  36 in total

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9.  Fast and accurate short read alignment with Burrows-Wheeler transform.

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Authors:  Chao Xie; Martti T Tammi
Journal:  BMC Bioinformatics       Date:  2009-03-06       Impact factor: 3.169

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  13 in total

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Authors:  Zehra Ordulu; Kristen E Wong; Benjamin B Currall; Andrew R Ivanov; Shahrin Pereira; Sara Althari; James F Gusella; Michael E Talkowski; Cynthia C Morton
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2.  digit-a tool for detection and identification of genomic interchromosomal translocations.

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3.  The genomic landscape of balanced cytogenetic abnormalities associated with human congenital anomalies.

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4.  ViVar: a comprehensive platform for the analysis and visualization of structural genomic variation.

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Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

5.  Deciphering the pathogenic consequences of chromosomal aberrations in human genetic disease.

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6.  Reciprocal Translocation Carrier Diagnosis in Preimplantation Human Embryos.

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7.  Accurate Breakpoint Mapping in Apparently Balanced Translocation Families with Discordant Phenotypes Using Whole Genome Mate-Pair Sequencing.

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8.  Whole Genome Low-Coverage Sequencing Concurrently Detecting Copy Number Variations and Their Underlying Complex Chromosomal Rearrangements by Systematic Breakpoint Mapping in Intellectual Deficiency/Developmental Delay Patients.

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10.  Successful pregnancy after prenatal diagnosis by NGS for a carrier of complex chromosome rearrangements.

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