Literature DB >> 17296838

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.

Wan-Jin Chen1, Zhi-Ying Wu, Min-Ting Lin, Jun-Feng Su, Yu Lin, Shen-Xing Murong, Ning Wang.   

Abstract

BACKGROUND: The difficulties and incurability of spinal muscular atrophy (SMA) highlight the importance of prenatal diagnosis in families with SMA. However, the system applied in prenatal screening is far from perfect.
OBJECTIVES: To optimize the molecular assays and establish a relatively perfect system for prenatal screening. Design, Setting, and Patients A total of 87 patients and 132 parents from 77 families with SMA were screened for SMN1 mutations. Prenatal prediction was performed for 11 fetuses from 10 families with SMA. All of the samples to be tested were from the Department of Neurology, First Affiliated Hospital, Fujian Medical University, Fuzhou, China. MAIN OUTCOME MEASURES: All of the 87 patients and their parents were screened for SMN1 deletion by restriction fragment length polymorphism analysis and denaturing high-performance liquid chromatography (DHPLC). For those patients without the SMN1 deletion, the SMN1 copy numbers were detected by real-time fluorescence quantitative polymerase chain reaction and the subtle mutations of SMN were screened by direct sequencing. Prenatal prediction was performed by restriction fragment length polymorphism analysis, DHPLC, and linkage analysis for 11 fetuses. Furthermore, the SMN1 copy numbers and detected carriers of SMA were found by DHPLC and real-time fluorescence quantitative polymerase chain reaction in 14 parents and the fetuses without the SMN1 deletion. Results in aborted fetuses and born babies were reconfirmed by restriction fragment length polymorphism analysis and DHPLC. The born babies were followed up and physically examined twice a year.
RESULTS: The frequency of the SMN1 deletion we detected was 93.5% (72 of 77 patients). No subtle mutations were detected in the other 5 families. Four fetuses had the SMN1 deletion and were aborted. The other 7 fetuses, 4 carriers and 3 normal individuals, were born under suggestion by the physician. Fourteen parents were carriers. The reconfirmation of results in the aborted fetuses and born babies was completely consistent with prenatal prediction. The 7 born babies were followed up until recently and all were normal.
CONCLUSIONS: The molecular diagnosis system based on restriction fragment length polymorphism analysis, DHPLC, and linkage analysis is an efficient and accurate method that is well suited for routine use in clinical laboratories.

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Year:  2007        PMID: 17296838     DOI: 10.1001/archneur.64.2.225

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  6 in total

1.  Molecular characterization of SMN copy number derived from carrier screening and from core families with SMA in a Chinese population.

Authors:  Zhu Sheng-Yuan; Fu Xiong; Ya-Jun Chen; Ti-Zhen Yan; Jian Zeng; Liang Li; Ya-Ni Zhang; Wan-Qun Chen; Xin-Hua Bao; Cheng Zhang; Xiang-Min Xu
Journal:  Eur J Hum Genet       Date:  2010-05-05       Impact factor: 4.246

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

Authors:  Yu-hua Liang; Xiao-ling Chen; Zhong-sheng Yu; Chun-yue Chen; Sheng Bi; Lian-gen Mao; Bo-lin Zhou; Xian-ning Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2009-01       Impact factor: 3.066

3.  D5S351 and D5S1414 located at the spinal muscular atrophy critical region represent novel informative markers in the Iranian population.

Authors:  Maryam Sedghi; Sadeq Vallian
Journal:  Meta Gene       Date:  2015-11-10

4.  Modeling the differential phenotypes of spinal muscular atrophy with high-yield generation of motor neurons from human induced pluripotent stem cells.

Authors:  Xiang Lin; Jin-Jing Li; Wen-Jing Qian; Qi-Jie Zhang; Zhong-Feng Wang; Ying-Qian Lu; En-Lin Dong; Jin He; Ning Wang; Li-Xiang Ma; Wan-Jin Chen
Journal:  Oncotarget       Date:  2017-06-27

5.  Deletion analysis of SMN and NAIP genes in Tunisian patients with spinal muscular atrophy.

Authors:  Imen Rekik; Amir Boukhris; Sourour Ketata; Mohamed Amri; Nourhene Essid; Imed Feki; Chokri Mhiri
Journal:  Ann Indian Acad Neurol       Date:  2013-01       Impact factor: 1.383

6.  Rapid diagnosis of spinal muscular atrophy using high-resolution melting analysis.

Authors:  Wan Jin Chen; Wan Juan Dong; Xiao Zhen Lin; Min Ting Lin; Shen Xing Murong; Zhi Ying Wu; Ning Wang
Journal:  BMC Med Genet       Date:  2009-05-29       Impact factor: 2.103

  6 in total

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