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Genome and RNA sequencing boost neuromuscular diagnoses to 62% from 34% with exome sequencing alone.

Rhett G MarchantSamantha J BryenMelanie BahloAnita CairnsKatherine R ChaoAlastair CorbettMark R DavisVijay S GaneshRoula GhaouiKristi J JonesAndrew J KornbergMonkol LekChristina LiangDaniel G MacArthurEmily C OatesAnne O'Donnell-LuriaGina L O'GradyIkeoluwa A Osei-OwusuHaloom RafehiStephen W ReddelRichard H RoxburghMonique M RyanSarah A SandaraduraLiam W ScottElise ValkanasBen WeisburdHelen YoungFrances J EvessonLeigh B WaddellSandra T Cooper
Published in: Annals of clinical and translational neurology (2024)
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.
Keyphrases
  • single cell
  • genome wide
  • copy number
  • rna seq
  • high throughput
  • machine learning
  • dna methylation
  • bioinformatics analysis