Reanalysis and optimisation of bioinformatic pipelines is critical for mutation detection. Issue 4 (31st January 2019)

• Record Type: Journal Article
• Authors: Cowley, Mark J; Liu, Yu‐Chi; Oliver, Karen L.; Carvill, Gemma; Myers, Candace T.; Gayevskiy, Velimir; Delatycki, Martin; Vlaskamp, Danique R.M.; Zhu, Ying; Mefford, Heather; Buckley, Michael F.; Bahlo, Melanie; Scheffer, Ingrid E.; Dinger, Marcel E.; Roscioli, Tony
• Is Part Of: Human mutation. Volume 40:Issue 4(2019)
• Page Start: 374
• Page End: 379
• Publication Date: 2019-01-31
• Subjects: clinical bioinformatics, de novo -- developmental and epileptic encephalopathy, whole genome sequencing; Human chromosome abnormalities -- Periodicals; Mutation (Biology) -- Periodicals; 616.04205
• DOI: 10.1002/humu.23699
• Languages: English
• ISSNs: 1059-7794

Abstract

Abstract: 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. Abstract : A pathogenic, de novo 13bp duplication in SYNGAP1 was identified by whole genome sequencing, but missed using default analysis settings by targeted, and whole exome sequencing. Reads carrying the genetic variant were present in all three sequencing platforms but missed due to two different issues relating to read alignment. Our findings demonstrate the importance of optimising clinical bioinformatic pipelines and highlight the importance of the choice of reference genome and read alignment software versions.