Design, construction and validation of targeted BAC array-based CGH test for detecting the most commons chromosomal abnormalities

Stefano Gambardella, Erika Ciabattoni, Francesca Motta, Giusy Stoico, Francesca Gullotta, Michela Biancolella, Anna Maria Nardone, Antonio Novelli, Ercole Brunetti, Laura Bernardini, Giuseppe Novelli

Research output: Contribution to journalArticle

Abstract

We designed a targeted-array called GOLD (Gain or Loss Detection) Chip consisting of 900 FISH-mapped non-overlapping BAC clones spanning the whole genome to enhance the coverage of 66 unique human genomic regions involved in well known microdeletion/ microduplication syndromes. The array has a 10 Mb backbone to guarantee the detection of the aneuploidies, and has an implemented resolution for telomeres, and for regions involved in common genomic diseases. In order to evaluate clinical diagnostic applicability of GOLDChip, analytical validity was carried-out via retrospective analysis of DNA isolated from a series of cytogenetically normal amniocytes and cytogenetically abnormal DNA obtained from cultured amniocytes, peripheral blood and/or cell lines. We recruited 47 DNA samples corresponding to pathologies with significant frequencies (Cri du Chat syndrome, Williams syndrome, Prader Willi/Angelman syndromes, Smith-Magenis syndrome, DiGeorge syndrome, Miller-Dieker syndrome, chromosomes 13, 18 and 21 trisomies). We set up an experimental protocol that allowed to identify chromosomal rearrangements in all the DNA samples analyzed. Our results provide evidence that our targeted BAC array can be used for the identification of the most common microdeletion syndromes and common aneuploidies.

Original languageEnglish
Pages (from-to)9-21
Number of pages13
JournalGenomics Insights
Volume3
Issue number1
DOIs
Publication statusPublished - 2010

Keywords

  • ACGH
  • Aneuploidies
  • BAC clones
  • Microdeletions
  • Microduplications
  • Targeted array

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Cell Biology
  • Genetics

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