Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection.
Mark J CowleyYu-Chi LiuKaren L OliverGemma Louise CarvillCandace T MyersVelimir GayevskiyMartin DelatyckiDanique R M VlaskampYing ZhuHeather MeffordMichael F BuckleyMelanie BahloIngrid Eileen SchefferMarcel E DingerTony RoscioliPublished in: Human mutation (2019)
Rapid advances in genomic technologies have facilitated the identification pathogenic variants causing human disease. We report siblings with developmental and epileptic encephalopathy due to a novel, shared heterozygous pathogenic 13 bp duplication in SYNGAP1 (c.435_447dup, p.(L150Vfs*6)) that was identified by whole genome sequencing (WGS). The pathogenic variant had escaped earlier detection via two methodologies: whole exome sequencing and high-depth targeted sequencing. Both technologies had produced reads carrying the variant, however, they were either not aligned due to the size of the insertion or aligned to multiple major histocompatibility complex (MHC) regions in the hg19 reference genome, making the critical reads unavailable for variant calling. The WGS pipeline followed different protocols, including alignment of reads to the GRCh37 reference genome, which lacks the additional MHC contigs. Our findings highlight the benefit of using orthogonal clinical bioinformatic pipelines and all relevant inheritance patterns to re-analyze genomic data in undiagnosed patients.
Keyphrases
- loop mediated isothermal amplification
- copy number
- end stage renal disease
- early onset
- endothelial cells
- chronic kidney disease
- newly diagnosed
- mitochondrial dna
- genome wide
- peritoneal dialysis
- prognostic factors
- label free
- cancer therapy
- electronic health record
- patient reported outcomes
- machine learning
- induced pluripotent stem cells
- dna methylation
- gene expression
- artificial intelligence
- drug delivery
- big data