Literature DB >> 25059567

SMA carrier testing: a meta-analysis of differences in test performance by ethnic group.

William Kim MacDonald1, David Hamilton, Stefan Kuhle.   

Abstract

INTRODUCTION: Spinal muscular atrophy (SMA) is a severe autosomal recessive genetic disease that occurs in about one in every 10 000 births. Prenatal carrier testing is available for SMA, and the utility of universal screening is actively debated.
OBJECTIVE: The aim of this study was to perform a systematic review and meta-analysis of SMA genotype frequency, carrier frequency, and carrier test performance in different ethnic groups.
METHODS: We performed a systematic review of the literature for studies on SMA carrier screening test performance. Ethnicity-specific allele frequencies, carrier rates, and screening test performance were determined from data of 169 000 individuals in 14 published studies. Pooled estimates were calculated for each ethnic group using a random effects meta-analysis.
RESULTS: The detection rate of SMA screening in the non-Black population was 87-95%; however, detection rates fell to 71% among the Black population.
CONCLUSION: These results highlight that although SMA carrier testing generally performs well and could be considered as a routine prenatal screen, SMA testing should be used cautiously in the Black population.
© 2014 John Wiley & Sons, Ltd.

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Year:  2014        PMID: 25059567     DOI: 10.1002/pd.4459

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  8 in total

1.  Carrier screening for spinal muscular atrophy with a simple test based on melting analysis.

Authors:  Zhongmin Xia; Yulin Zhou; Dongmei Fu; Zengge Wang; Yunsheng Ge; Jun Ren; Qiwei Guo
Journal:  J Hum Genet       Date:  2019-02-15       Impact factor: 3.172

2.  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

3.  Validation of a high resolution NGS method for detecting spinal muscular atrophy carriers among phase 3 participants in the 1000 Genomes Project.

Authors:  Jessica L Larson; Ari J Silver; Dalin Chan; Carlos Borroto; Brett Spurrier; Lee M Silver
Journal:  BMC Med Genet       Date:  2015-10-29       Impact factor: 2.103

4.  A multi-source approach to determine SMA incidence and research ready population.

Authors:  Ingrid E C Verhaart; Agata Robertson; Rebecca Leary; Grace McMacken; Kirsten König; Janbernd Kirschner; Cynthia C Jones; Suzanne F Cook; Hanns Lochmüller
Journal:  J Neurol       Date:  2017-06-20       Impact factor: 4.849

Review 5.  Urine-derived induced pluripotent/neural stem cells for modeling neurological diseases.

Authors:  Tianyuan Shi; Martin Cheung
Journal:  Cell Biosci       Date:  2021-05-13       Impact factor: 7.133

Review 6.  Recommendations for Interpreting and Reporting Silent Carrier and Disease-Modifying Variants in SMA Testing Workflows.

Authors:  John N Milligan; Laura Blasco-Pérez; Mar Costa-Roger; Marta Codina-Solà; Eduardo F Tizzano
Journal:  Genes (Basel)       Date:  2022-09-15       Impact factor: 4.141

Review 7.  Prevalence, incidence and carrier frequency of 5q-linked spinal muscular atrophy - a literature review.

Authors:  Ingrid E C Verhaart; Agata Robertson; Ian J Wilson; Annemieke Aartsma-Rus; Shona Cameron; Cynthia C Jones; Suzanne F Cook; Hanns Lochmüller
Journal:  Orphanet J Rare Dis       Date:  2017-07-04       Impact factor: 4.123

8.  SMN1 copy-number and sequence variant analysis from next-generation sequencing data.

Authors:  Daniel Lopez-Lopez; Carlos Loucera; Rosario Carmona; Virginia Aquino; Josefa Salgado; Sara Pasalodos; María Miranda; Ángel Alonso; Joaquín Dopazo
Journal:  Hum Mutat       Date:  2020-10-14       Impact factor: 4.878

  8 in total

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