Detecting missed diagnoses of spinal muscular atrophy in genome, exome, and panel sequencing datasets.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
13 Feb 2024
Historique:
medline: 26 2 2024
pubmed: 26 2 2024
entrez: 26 2 2024
Statut: epublish

Résumé

Spinal muscular atrophy (SMA) is a genetic disorder that causes progressive degeneration of lower motor neurons and the subsequent loss of muscle function throughout the body. It is the second most common recessive disorder in individuals of European descent and is present in all populations. Accurate tools exist for diagnosing SMA from short read and long read genome sequencing data. However, there are no publicly available tools for GRCh38-aligned data from panel or exome sequencing assays which continue to be used as first line tests for neuromuscular disorders. We therefore developed and extensively validated a new tool - SMA Finder - that can diagnose SMA not only in genome, but also exome and targeted sequencing samples aligned to GRCh37, GRCh38, or T2T-CHM13. It works by evaluating aligned reads that overlap the c.840 position of

Identifiants

pubmed: 38405995
doi: 10.1101/2024.02.11.24302646
pmc: PMC10889006
pii:
doi:

Types de publication

Preprint

Langues

eng

Auteurs

Classifications MeSH