Why the study?
Sequence analysis to identify SMN1 single-nucleotide variants is unreliable by standard Sanger or short-read NGS methods due to high homologies within the SMN1/SMN2 locus, creating a need for fast, reliable diagnostic methods.
Does a specialized bioinformatics workflow applied to short-read next-generation sequencing enable reliable detection of 5q-Spinal muscular atrophy in a diagnostic cohort?
Population
1684 patients tested for suggested neuromuscular disorders and 260 fetal samples in prenatal diagnostics
Design
Diagnostic cohort study evaluating a bioinformatics workflow on srNGS
Authors
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May identify atypical 5q-SMA via srNGS in existing data; leaves open prospective validation before routine adoption.
Does a specialized bioinformatics workflow applied to short-read next-generation sequencing enable reliable detection of 5q-Spinal muscular atrophy in a diagnostic cohort?
Applying a specialized bioinformatics workflow to short-read next-generation sequencing enables the reliable detection of 5q-SMA, identifying atypical cases that might otherwise remain undiagnosed.
Kleinle et al. (2023) studied this question.
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