Literature DB >> 19198020

Deletion analysis of SMN1 and NAIP genes in Southern Chinese children with spinal muscular atrophy.

Yu-hua Liang1, Xiao-ling Chen, Zhong-sheng Yu, Chun-yue Chen, Sheng Bi, Lian-gen Mao, Bo-lin Zhou, Xian-ning Zhang.   

Abstract

Spinal muscular atrophy (SMA) is a disorder characterized by degeneration of lower motor neurons and occasionally bulbar motor neurons leading to progressive limb and trunk paralysis as well as muscular atrophy. Three types of SMA are recognized depending on the age of onset, the maximum muscular activity achieved, and survivorship: SMA1, SMA2, and SMA3. The survival of motor neuron (SMN) gene has been identified as an SMA determining gene, whereas the neuronal apoptosis inhibitory protein (NAIP) gene is considered to be a modifying factor of the severity of SMA. The main objective of this study was to analyze the deletion of SMN1 and NAIP genes in southern Chinese children with SMA. Here, polymerase chain reaction (PCR) combined with restriction fragment length polymorphism (RFLP) was performed to detect the deletion of both exon 7 and exon 8 of SMN1 and exon 5 of NAIP in 62 southern Chinese children with strongly suspected clinical symptoms of SMA. All the 32 SMA1 patients and 76% (13/17) of SMA2 patients showed homozygous deletions for exon 7 and exon 8, and all the 13 SMA3 patients showed single deletion of SMN1 exon 7 along with 24% (4/17) of SMA2 patients. Eleven out of 32 (34%) SMA1 patients showed NAIP deletion, and none of SMA2 and SMA3 patients was found to have NAIP deletion. The findings of homozygous deletions of exon 7 and/or exon 8 of SMN1 gene confirmed the diagnosis of SMA, and suggested that the deletion of SMN1 exon 7 is a major cause of SMA in southern Chinese children, and that the NAIP gene may be a modifying factor for disease severity of SMA1. The molecular diagnosis system based on PCR-RFLP analysis can conveniently be applied in the clinical testing, genetic counseling, prenatal diagnosis and preimplantation genetic diagnosis of SMA.

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Year:  2009        PMID: 19198020      PMCID: PMC2613960          DOI: 10.1631/jzus.B0820125

Source DB:  PubMed          Journal:  J Zhejiang Univ Sci B        ISSN: 1673-1581            Impact factor:   3.066


  32 in total

1.  Copy number analysis of survival motor neuron genes by multiplex ligation-dependent probe amplification.

Authors:  Chien-Hao Huang; Yih-Yuan Chang; Chung-Hsiung Chen; Yen-Shi Kuo; Wuh-Liang Hwu; Tommy Gerdes; Tsang-Ming Ko
Journal:  Genet Med       Date:  2007-04       Impact factor: 8.822

2.  Deletion analyses of SMN1 and NAIP genes in Malaysian spinal muscular atrophy patients.

Authors:  Mohd S Watihayati; Azhar M H Zabidi-Hussin; Thean H Tang; Masafumi Matsuo; Hisahide Nishio; Bin Alwi Zilfalil
Journal:  Pediatr Int       Date:  2007-02       Impact factor: 1.524

3.  Targeting splicing in spinal muscular atrophy.

Authors:  Barrington G Burnett; Charlotte J Sumner
Journal:  Ann Neurol       Date:  2008-01       Impact factor: 10.422

4.  Lentivector-mediated SMN replacement in a mouse model of spinal muscular atrophy.

Authors:  Mimoun Azzouz; Thanh Le; G Scott Ralph; Lucy Walmsley; Umrao R Monani; Debbie C P Lee; Fraser Wilkes; Kyriacos A Mitrophanous; Susan M Kingsman; Arthur H M Burghes; Nicholas D Mazarakis
Journal:  J Clin Invest       Date:  2004-12       Impact factor: 14.808

5.  A mouse model for spinal muscular atrophy.

Authors:  H M Hsieh-Li; J G Chang; Y J Jong; M H Wu; N M Wang; C H Tsai; H Li
Journal:  Nat Genet       Date:  2000-01       Impact factor: 38.330

6.  Quantitative analysis of SMN1 and SMN2 genes based on DHPLC: a highly efficient and reliable carrier-screening test.

Authors:  Yi-Ning Su; Chia-Cheng Hung; Hung Li; Chien-Nan Lee; Wen-Fang Cheng; Po-Nien Tsao; Ming-Cheng Chang; Chia-Li Yu; Wu-Shiun Hsieh; Win-Li Lin; Su-Ming Hsu
Journal:  Hum Mutat       Date:  2005-05       Impact factor: 4.878

Review 7.  An update of the mutation spectrum of the survival motor neuron gene (SMN1) in autosomal recessive spinal muscular atrophy (SMA).

Authors:  B Wirth
Journal:  Hum Mutat       Date:  2000       Impact factor: 4.878

8.  Molecular analysis and prenatal prediction of spinal muscular atrophy in Chinese patients by the combination of restriction fragment length polymorphism analysis, denaturing high-performance liquid chromatography, and linkage analysis.

Authors:  Wan-Jin Chen; Zhi-Ying Wu; Min-Ting Lin; Jun-Feng Su; Yu Lin; Shen-Xing Murong; Ning Wang
Journal:  Arch Neurol       Date:  2007-02

9.  Efficient strategies for preimplantation genetic diagnosis of spinal muscular atrophy.

Authors:  Anne Girardet; Céline Fernandez; Mireille Claustres
Journal:  Fertil Steril       Date:  2007-10-22       Impact factor: 7.329

Review 10.  Clinical trials in spinal muscular atrophy.

Authors:  Basil T Darras; Peter B Kang
Journal:  Curr Opin Pediatr       Date:  2007-12       Impact factor: 2.856

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  4 in total

1.  Association between SNP rs1800875, serum chymase and immunoglobulin E levels in patients with coronary heart disease.

Authors:  Chun-Na Jin; Hong Ma; Yan Lin; Jian-An Wang; Mei-Xiang Xiang
Journal:  J Zhejiang Univ Sci B       Date:  2011-08       Impact factor: 3.066

2.  Molecular characterization and copy number of SMN1, SMN2 and NAIP in Chinese patients with spinal muscular atrophy and unrelated healthy controls.

Authors:  Ping Fang; Liang Li; Jian Zeng; Wan-Jun Zhou; Wei-Qing Wu; Ze-Yan Zhong; Ti-Zhen Yan; Jian-Sheng Xie; Jing Huang; Li Lin; Ying Zhao; Xiang-Min Xu
Journal:  BMC Musculoskelet Disord       Date:  2015-02-07       Impact factor: 2.362

3.  New multiplex real-time PCR approach to detect gene mutations for spinal muscular atrophy.

Authors:  Zhidai Liu; Penghui Zhang; Xiaoyan He; Shan Liu; Shi Tang; Rong Zhang; Xinbin Wang; Junjie Tan; Bin Peng; Li Jiang; Siqi Hong; Lin Zou
Journal:  BMC Neurol       Date:  2016-08-17       Impact factor: 2.474

4.  Association between chymase gene polymorphisms and atrial fibrillation in Chinese Han population.

Authors:  Dongchen Zhou; Yuewei Chen; Jiaxin Wu; Jiabo Shen; Yushan Shang; Liangrong Zheng; Xudong Xie
Journal:  BMC Cardiovasc Disord       Date:  2019-12-30       Impact factor: 2.298

  4 in total

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