4.5 Article

Validation of next-generation sequencing technologies in genetic diagnosis of dementia

Journal

NEUROBIOLOGY OF AGING
Volume 35, Issue 1, Pages 261-265

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2013.07.017

Keywords

Dementia; Diagnosis; Neurogenetics; Genetic; Sequencing; Next-generation sequencing; NGS; Ion torrent; MiSeq

Funding

  1. Medical Research Council Prion Unit
  2. NIHR Queen Square Dementia Biomedical Research Unit
  3. MRC [G0501560, G108/638, G1001253, MR/J004758/1, MC_U123160651, G0802760, G0601846, MC_U123160657, G0801306] Funding Source: UKRI
  4. Medical Research Council [MC_U123160657, G1001253, G0601846, G108/638, MR/J004758/1, MC_U123160651, G0501560, G0802760, G0801306] Funding Source: researchfish
  5. National Institute for Health Research [NF-SI-0508-10123, NF-SI-0512-10033] Funding Source: researchfish

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Identification of a specific genetic cause of early onset dementia (EOD) is important but can be difficult because of pleiotropy, locus heterogeneity and accessibility of gene tests. Here we assess the use of next generation sequencing (NGS) technologies as a quick, accurate and cost effective method to determine genetic diagnosis in EOD. We developed gene panel based technologies to assess 16 genes known to harbour mutations causal of dementia and combined these with PCR based assessments of the C9orf72 hexanucleotide repeat expansion and the octapeptide repeat region of PRNP. In a blinded study of 95 samples we show very high sensitivity and specificity are achievable using either Ion Torrent or MiSeq sequencing platforms. Modifications to the gene panel permit accurate detection of structural variation in APP. In 2/10 samples which had been selected because they possess a variant of uncertain significance the new technology discovered a causal mutation in genes not previously sequenced. A large proportion (23/85) of samples showed genetic variants of uncertain significance in addition to known mutations. The MRC Dementia Gene Panel and similar technologies are likely to be transformational in EOD diagnosis with a significant impact on the proportion of patients in whom a genetic cause is identified. (c) 2014 Elsevier Inc. All rights reserved.

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