A quantitative polymerase chain reaction (PCR) assay completely discriminates between Duchenne and Becker muscular dystrophy deletion carriers and normal females

Duchenne/Becker muscular dystrophy (DMD/BMD) is a severe X-linked myopathy. In 65% of the patients, the mutations responsible for the disease are macrodeletions in the dystrophin-encoding gene that can be identified with multiplex polymerase chain reaction (PCR) technology. We developed a method for...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Molecular and cellular probes 1996-04, Vol.10 (2), p.129-137
Hauptverfasser: Pastore, Lucio, Caporaso, Maria Gabriella, Frisso, Giulia, Orsini, Anna, Santoro, Lucio, Sacchetti, Lucia, Salvatore, Francesco
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Duchenne/Becker muscular dystrophy (DMD/BMD) is a severe X-linked myopathy. In 65% of the patients, the mutations responsible for the disease are macrodeletions in the dystrophin-encoding gene that can be identified with multiplex polymerase chain reaction (PCR) technology. We developed a method for quantitative PCR analysis of deletion carriers involving the use of phosphorimager-based scanning of radioactive-labelled PCR products. We calculated the ratios between the areas of two peaks, one corresponding to the deleted segments to be analysed and the other taken as a reference. In carriers, these ratios (R value) were always about half those obtained in normal females. The final diagnostic result, the diagnostic index (DI), is the ratio of the R values between the propositus and a normal subject. We also assessed the variability of each step of the procedure and the overall variability of the DI value, thus obtaining cut-off values that completely discriminated BMD/DMD deletion carriers from normal females. We were also able to classify, as either «carrier» or «normal», several females whose status was not identified with linkage analysis.
ISSN:0890-8508
1096-1194
DOI:10.1006/mcpr.1996.0018