Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing.
Sneha D GoenkaJohn E GorzynskiKishwar ShafinDianna G FiskTrevor PesoutTanner D JensenJean MonlongPi-Chuan ChangGunjan BaidJonathan A BernsteinJeffrey W ChristleKaren P DaltonDaniel R GaraldeMegan E GroveJoseph GuilloryAlexey KolesnikovMaria NattestadMaura R Z RuzhnikovMehrzad SamadiAnkit SethiaElizabeth SpiteriChristopher J WrightKatherine XiongTong ZhuMiten JainFritz J SedlazeckAndrew CarrollBenedict PatenEuan A AshleyPublished in: Nature biotechnology (2022)
Whole-genome sequencing (WGS) can identify variants that cause genetic disease, but the time required for sequencing and analysis has been a barrier to its use in acutely ill patients. In the present study, we develop an approach for ultra-rapid nanopore WGS that combines an optimized sample preparation protocol, distributing sequencing over 48 flow cells, near real-time base calling and alignment, accelerated variant calling and fast variant filtration for efficient manual review. Application to two example clinical cases identified a candidate variant in <8 h from sample preparation to variant identification. We show that this framework provides accurate variant calls and efficient prioritization, and accelerates diagnostic clinical genome sequencing twofold compared with previous approaches.
Keyphrases
- single cell
- copy number
- high resolution
- end stage renal disease
- genome wide
- single molecule
- ejection fraction
- randomized controlled trial
- newly diagnosed
- cell cycle arrest
- peritoneal dialysis
- cell death
- dna methylation
- oxidative stress
- molecularly imprinted
- patient reported outcomes
- mass spectrometry
- bioinformatics analysis
- signaling pathway
- patient reported
- solid phase extraction