Literature DB >> 12116201

Genetic risk assessment in carrier testing for spinal muscular atrophy.

Shuji Ogino1, Debra G B Leonard, Hanna Rennert, Warren J Ewens, Robert B Wilson.   

Abstract

As evidenced by the complete absence of a functionally critical sequence in exon 7, approximately 94% of individuals with clinically typical spinal muscular atrophy (SMA) lack both copies of the SMN1 gene at 5q13. Hence most carriers have only one copy of SMN1. Combining linkage and dosage analyses for SMN1, we observed unaffected individuals who have two copies of SMN1 on one chromosome 5 and zero copies of SMN1 on the other chromosome 5. By dosage analysis alone, such individuals, as well as carriers of non-deletion disease alleles, are indistinguishable from non-carrier individuals. We report that approximately 7% of unaffected individuals without a family history of SMA have three or four copies of SMN1, implying a higher frequency of chromosomes with two copies of SMN1 than previously reported. We present updated calculations for disease and non-disease allele frequencies and we describe how these frequencies can be used for genetic risk assessment in carrier testing for SMA. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12116201     DOI: 10.1002/ajmg.10425

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  42 in total

1.  SMN dosage analysis and risk assessment for spinal muscular atrophy.

Authors:  Shuji Ogino; Robert B Wilson
Journal:  Am J Hum Genet       Date:  2002-06       Impact factor: 11.025

Review 2.  Human motor neuron generation from embryonic stem cells and induced pluripotent stem cells.

Authors:  M Nizzardo; C Simone; M Falcone; F Locatelli; G Riboldi; G P Comi; S Corti
Journal:  Cell Mol Life Sci       Date:  2010-07-29       Impact factor: 9.261

Review 3.  Genetic approaches to the treatment of inherited neuromuscular diseases.

Authors:  Bhavya Ravi; Anthony Antonellis; Charlotte J Sumner; Andrew P Lieberman
Journal:  Hum Mol Genet       Date:  2019-10-01       Impact factor: 6.150

Review 4.  Spinal muscular atrophy: state of the art and new therapeutic strategies.

Authors:  Sonia Messina; Maria Sframeli; Lorenzo Maggi; Adele D'Amico; Claudio Bruno; Giacomo Comi; Eugenio Mercuri
Journal:  Neurol Sci       Date:  2021-04-19       Impact factor: 3.307

5.  Quantification of PCR bias caused by a single nucleotide polymorphism in SMN gene dosage analysis.

Authors:  Shuji Ogino; Robert B Wilson
Journal:  J Mol Diagn       Date:  2002-11       Impact factor: 5.568

6.  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

Review 7.  Neurotheranostics as personalized medicines.

Authors:  Bhavesh D Kevadiya; Brendan M Ottemann; Midhun Ben Thomas; Insiya Mukadam; Saumya Nigam; JoEllyn McMillan; Santhi Gorantla; Tatiana K Bronich; Benson Edagwa; Howard E Gendelman
Journal:  Adv Drug Deliv Rev       Date:  2018-10-26       Impact factor: 15.470

Review 8.  Time Is Motor Neuron: Therapeutic Window and Its Correlation with Pathogenetic Mechanisms in Spinal Muscular Atrophy.

Authors:  Alessandra Govoni; Delia Gagliardi; Giacomo P Comi; Stefania Corti
Journal:  Mol Neurobiol       Date:  2018-01-02       Impact factor: 5.590

9.  Study of survival of motor neuron (SMN) and neuronal apoptosis inhibitory protein (NAIP) gene deletions in SMA patients.

Authors:  Akanchha Kesari; Usha Kant Misra; Jayantee Kalita; Vijay Nath Mishra; Sunil Pradhan; Siddramappa Jagdish Patil; Shubha Rajender Phadke; Balraj Mittal
Journal:  J Neurol       Date:  2005-03-18       Impact factor: 4.849

10.  Review of Spinal Muscular Atrophy (SMA) for Prenatal and Pediatric Genetic Counselors.

Authors:  Amanda Carré; Candice Empey
Journal:  J Genet Couns       Date:  2015-08-08       Impact factor: 2.537

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