Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep;41(9):2575-2584.
doi: 10.1007/s10072-020-04365-x. Epub 2020 Apr 6.

SMN1 gene copy number analysis for spinal muscular atrophy (SMA) in a Turkish cohort by CODE-SEQ technology, an integrated solution for detection of SMN1 and SMN2 copy numbers and the "2+0" genotype

Affiliations

SMN1 gene copy number analysis for spinal muscular atrophy (SMA) in a Turkish cohort by CODE-SEQ technology, an integrated solution for detection of SMN1 and SMN2 copy numbers and the "2+0" genotype

Ahmet Cevdet Ceylan et al. Neurol Sci. 2020 Sep.

Abstract

Introduction: Spinal muscular atrophy (SMA) is one of the common autosomal recessive disorders with global heterozygous carrier frequency of 1:50. Due to high carrier frequency, significant morbidity associated with the infantile onset disease and prohibitive cost of recently approved therapy, American College of Medical Genetics and Genomics (ACMG) recommends population based screening for SMA carrier status in eligible individuals in the reproductive age group. CODE-SEQ is a novel proprietary next generation sequencing (NGS) based assay, which is capable of detecting homozygous as well as heterozygous SMN1 exon 7 deletions. Along with the copy number estimation, this assay is capable of detecting single nucleotide polymorphisms (SNPs) associated with silent SMA carrier status or "2+0" genotype.

Methods: We have validated a proprietary CODE-SEQ technology in a blinded cohort of 80 clinically well characterized samples from Turkish population for the detection of SMA carriers as well as affected cases. The results were correlated with gold standard MLPA assay.

Results: The copy numbers in exon 7 of SMN1 gene matched with MLPA results in all 80 samples giving 100% correlation. The assay accurately detected the presence/ absence of SNPs associated with "2+0" genotype in the reference samples. None of the tested clinical samples had these SNPs.

Conclusion: The results of this study support the notion that CODE-SEQ will be extremely useful in detecting SMA genotypes in large-scale population-based screening studies.

Keywords: CODE-SEQ; Genetic screening/counseling; Molecular genetics; NGS; Spinal muscular atrophy.

PubMed Disclaimer

References

    1. Genet Med. 2010 Oct;12(10):621-2 - PubMed
    1. Neurology. 2007 Nov 13;69(20):1931-6 - PubMed
    1. J Mol Diagn. 2011 Jan;13(1):3-6 - PubMed
    1. Eur J Neurol. 2010 Jan;17(1):160-2 - PubMed
    1. Genet Med. 2017 Aug;19(8):936-944 - PubMed

Substances

LinkOut - more resources