AI Article Synopsis

  • Newborn screening for spinal muscular atrophy (SMA) traditionally relies on PCR assays to detect a specific genetic deletion, but challenges in DNA mapping have limited the use of next-generation sequencing (NGS).
  • Recent advancements in bioinformatics and NGS technology allow for accurate analysis of dried blood spot samples, but larger scale implementations for population screening have been lacking.
  • A study involving over 2,500 newborns demonstrated that integrating NGS with custom algorithms facilitated effective SMA screening, suggesting that this approach could be expanded to simultaneously test for multiple genetic conditions.

Article Abstract

Newborn screening (NBS) assays for spinal muscular atrophy (SMA) typically use a polymerase chain reaction (PCR) based assay to identify individuals with homozygous deletion in exon 7 of the gene. Due to high DNA sequence homology between and , it has previously been difficult to accurately bioinformatically map short reads from next-generation DNA sequencing (NGS) to , resulting in low analytical performance and preventing NGS being used for SMA screening. Advances in bioinformatics have allowed NGS to be used in diagnostic settings, but to date these assays have not reached the scale required for high volume population newborn screening and have not been performed on the dried blood spot samples that NBS programs currently use. Here we integrate an NGS assay using hybridisation-based capture with a customised bioinformatics algorithm and purpose designed high throughput reporting software into an existing NBS program to achieve a laboratory workflow for population SMA screening. We tested the NGS assay on over 2500 newborns born over 2 weeks in a NBS program in a technical feasibility study and show high sensitivity and specificity. Our results suggest NGS may be an alternate method for SMA screening by NBS programs, providing a multiplex testing platform on which potentially hundreds of inherited conditions could be simultaneously tested.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878289PMC
http://dx.doi.org/10.3389/fgene.2023.1095600DOI Listing

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