title: Targeted next generation sequencing identifies novel NOTCH3 gene mutations in CADASIL diagnostics patients.
abstract: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a monogenic, hereditary, small vessel disease of the brain causing stroke and vascular dementia in adults. CADASIL has previously been shown to be caused by varying mutations in the NOTCH3 gene. The disorder is often misdiagnosed due to its significant clinical heterogeneic manifestation with familial hemiplegic migraine and several ataxia disorders as well as the location of the currently identified causative mutations. The aim of this study was to develop a new, comprehensive and efficient single assay strategy for complete molecular diagnosis of NOTCH3 mutations through the use of a custom next-generation sequencing (NGS) panel for improved routine clinical molecular diagnostic testing.
  
  
  
  Our custom NGS panel identified nine genetic variants in NOTCH3 (p.D139V, p.C183R, p.R332C, p.Y465C, p.C597W, p.R607H, p.E813E, p.C977G and p.Y1106C). Six mutations were stereotypical CADASIL mutations leading to an odd number of cysteine residues in one of the 34 NOTCH3 gene epidermal growth factor (EGF)-like repeats, including three new typical cysteine mutations identified in exon 11 (p.C597W; c.1791C>G); exon 18 (p.C977G; c.2929T>G) and exon 20 (p.Y1106C; c.3317A>G). Interestingly, a novel missense mutation in the CACNA1A gene was also identified in one CADASIL patient. All variants identified (novel and known) were further investigated using in silico bioinformatic analyses and confirmed through Sanger sequencing.
  
  
  
  NGS provides an improved and effective methodology for the diagnosis of CADASIL. The NGS approach reduced time and cost for comprehensive genetic diagnosis, placing genetic diagnostic testing within reach of more patients.
authors.affiliation: Genomics Research Centre, Institute of Health and Biomedical Innovation (IHBI), School of Biomedical Sciences, Queensland University of Technology (QUT), Q Block, 60 Musk Ave, Kelvin Grove Campus, Brisbane, 4059, Queensland, Australia.
authors.forename: Neven
authors.initials: N
authors.lastname: Maksemous
authors.affiliation: Genomics Research Centre, Institute of Health and Biomedical Innovation (IHBI), School of Biomedical Sciences, Queensland University of Technology (QUT), Q Block, 60 Musk Ave, Kelvin Grove Campus, Brisbane, 4059, Queensland, Australia.
authors.forename: Robert A
authors.initials: RA
authors.lastname: Smith
authors.affiliation: Genomics Research Centre, Institute of Health and Biomedical Innovation (IHBI), School of Biomedical Sciences, Queensland University of Technology (QUT), Q Block, 60 Musk Ave, Kelvin Grove Campus, Brisbane, 4059, Queensland, Australia.
authors.forename: Larisa M
authors.initials: LM
authors.lastname: Haupt
authors.affiliation: Genomics Research Centre, Institute of Health and Biomedical Innovation (IHBI), School of Biomedical Sciences, Queensland University of Technology (QUT), Q Block, 60 Musk Ave, Kelvin Grove Campus, Brisbane, 4059, Queensland, Australia. lyn.griffiths@qut.edu.au.
authors.forename: Lyn R
authors.initials: LR
authors.lastname: Griffiths
mesh_terms: D046589:CADASIL / Q000175:diagnosis / Q000235:genetics*; D004252:DNA Mutational Analysis; D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D025202:Molecular Diagnostic Techniques; D000071656:Receptor, Notch3 / Q000235:genetics*
chemical_list: C499374:NOTCH3 protein, human; D000071656:Receptor, Notch3
keywords: AmpliSeq Custom Panel; CADASIL; NOTCH3; Next-generation sequencing