Literature DB >> 12442269

Implementation of SMA carrier testing in genetic laboratories: comparison of two methods for quantifying the SMN1 gene.

Ivon Cuscó1, María J Barceló, Montserrat Baiget, Eduardo F Tizzano.   

Abstract

The degeneration and loss of motor neurons of the anterior horn characterize children affected with spinal muscular atrophy (SMA). Mutations in the survival motor neuron gene (SMN1) are determinant for the development of the disease whereas the number of copies of SMN2, the highly homologous copy of SMN1, plays a role as a phenotypic modifier factor. The detection of SMN1 homozygous deletions is the typical test for SMA diagnosis. Owing to the limitation of this test for carrier and heterozygous deletion analysis, the demand of SMN1 quantitative tests is permanently growing. The high incidence of SMA, the notable carrier frequency, the severity of the disease, and the lack of effective treatment may justify the implementation of such an analysis in DNA diagnostic labs. The advantages and disadvantages of two reliable quantitative methods were evaluated. One of these is a competitive PCR protocol using internal standards and a genomic sequence as a reference. The other method is a real-time PCR employing an external standard as a reference. Both methods present sufficient advantages for incorporation into molecular genetic diagnostic labs. The possibility of studying samples from different labs, the versatility and reproducibility of the analysis, and cost-benefit calculations must be considered in the final choice. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12442269     DOI: 10.1002/humu.10144

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  6 in total

1.  Rapid detection of single nucleotide polymorphisms associated with spinal muscular atrophy by use of a reusable fibre-optic biosensor.

Authors:  James H Watterson; Sandeep Raha; Christopher C Kotoris; Christopher C Wust; Farhad Gharabaghi; Sarah C Jantzi; Nicole K Haynes; Nathalie H Gendron; Ulrich J Krull; Alex E Mackenzie; Paul A E Piunno
Journal:  Nucleic Acids Res       Date:  2004-01-23       Impact factor: 16.971

2.  Mutation update of spinal muscular atrophy in Spain: molecular characterization of 745 unrelated patients and identification of four novel mutations in the SMN1 gene.

Authors:  Laura Alías; Sara Bernal; Pablo Fuentes-Prior; María Jesus Barceló; Eva Also; Rebeca Martínez-Hernández; Francisco J Rodríguez-Alvarez; Yolanda Martín; Elena Aller; Elena Grau; Ana Peciña; Guillermo Antiñolo; Enrique Galán; Alberto L Rosa; Miguel Fernández-Burriel; Salud Borrego; José M Millán; Concepción Hernández-Chico; Montserrat Baiget; Eduardo F Tizzano
Journal:  Hum Genet       Date:  2008-12-03       Impact factor: 4.132

3.  The next generation of population-based spinal muscular atrophy carrier screening: comprehensive pan-ethnic SMN1 copy-number and sequence variant analysis by massively parallel sequencing.

Authors:  Yanming Feng; Xiaoyan Ge; Linyan Meng; Jennifer Scull; Jianli Li; Xia Tian; Tao Zhang; Weihong Jin; Hanyin Cheng; Xia Wang; Mari Tokita; Pengfei Liu; Hui Mei; Yue Wang; Fangyuan Li; Eric S Schmitt; Wei V Zhang; Donna Muzny; Shu Wen; Zhao Chen; Yaping Yang; Arthur L Beaudet; Xiaoming Liu; Christine M Eng; Fan Xia; Lee-Jun Wong; Jinglan Zhang
Journal:  Genet Med       Date:  2017-01-26       Impact factor: 8.822

4.  SMN2 copy number predicts acute or chronic spinal muscular atrophy but does not account for intrafamilial variability in siblings.

Authors:  I Cuscó; M J Barceló; R Rojas-García; I Illa; J Gámez; C Cervera; A Pou; G Izquierdo; M Baiget; E F Tizzano
Journal:  J Neurol       Date:  2005-06-28       Impact factor: 6.682

5.  Carrier screening for spinal muscular atrophy (SMA) in 107,611 pregnant women during the period 2005-2009: a prospective population-based cohort study.

Authors:  Yi-Ning Su; Chia-Cheng Hung; Shin-Yu Lin; Fang-Yi Chen; Jimmy P S Chern; Chris Tsai; Tai-Sheng Chang; Chih-Chao Yang; Hung Li; Hong-Nerng Ho; Chien-Nan Lee
Journal:  PLoS One       Date:  2011-02-25       Impact factor: 3.240

6.  Next generation sequencing is a highly reliable method to analyze exon 7 deletion of survival motor neuron 1 (SMN1) gene.

Authors:  Sumin Zhao; Yaoshen Wang; Xiuqing Xin; Zhonghai Fang; Linlin Fan; Zhiyu Peng; Rui Han; Chaonan Shi; Yixiang Zhang; Chuang Fan; Jun Sun; Xuelian He
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

  6 in total

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