학술논문

Genome and RNA sequencing boost neuromuscular diagnoses to 62% from 34% with exome sequencing alone.
Document Type
Article
Source
Annals of Clinical & Translational Neurology. May2024, Vol. 11 Issue 5, p1250-1266. 17p.
Subject
*RNA sequencing
*NUCLEOTIDE sequencing
*NEUROMUSCULAR diseases
*GENETIC variation
*DIAGNOSIS
*MOLECULAR diagnosis
Language
ISSN
2328-9503
Abstract
Objective: Most families with heritable neuromuscular disorders do not receive a molecular diagnosis. Here we evaluate diagnostic utility of exome, genome, RNA sequencing, and protein studies and provide evidence‐based recommendations for their integration into practice. Methods: In total, 247 families with suspected monogenic neuromuscular disorders who remained without a genetic diagnosis after standard diagnostic investigations underwent research‐led massively parallel sequencing: neuromuscular disorder gene panel, exome, genome, and/or RNA sequencing to identify causal variants. Protein and RNA studies were also deployed when required. Results: Integration of exome sequencing and auxiliary genome, RNA and/or protein studies identified causal or likely causal variants in 62% (152 out of 247) of families. Exome sequencing alone informed 55% (83 out of 152) of diagnoses, with remaining diagnoses (45%; 69 out of 152) requiring genome sequencing, RNA and/or protein studies to identify variants and/or support pathogenicity. Arrestingly, novel disease genes accounted for <4% (6 out of 152) of diagnoses while 36.2% of solved families (55 out of 152) harbored at least one splice‐altering or structural variant in a known neuromuscular disorder gene. We posit that contemporary neuromuscular disorder gene‐panel sequencing could likely provide 66% (100 out of 152) of our diagnoses today. Interpretation: Our results emphasize thorough clinical phenotyping to enable deep scrutiny of all rare genetic variation in phenotypically consistent genes. Post‐exome auxiliary investigations extended our diagnostic yield by 81% overall (34–62%). We present a diagnostic algorithm that details deployment of genomic and auxiliary investigations to obtain these diagnoses today most effectively. We hope this provides a practical guide for clinicians as they gain greater access to clinical genome and transcriptome sequencing. [ABSTRACT FROM AUTHOR]