Investigation of next-generation sequencing technologies as a diagnostic tool for amyotrophic lateral sclerosis

Sarah Morgan, Maryam Shoai, Pietro Fratta, Katie Sidle, Richard Orrell, Mary G Sweeney, Aleksey Shatunov, William Sproviero, Ashley Jones, Ammar Al-Chalabi, Andrea Malaspina, Henry Houlden, John Hardy, Alan Pittman

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

Abstract

The future of genetic diagnostics will see a move toward massively parallel next-generation sequencing of a patient's DNA. Amyotrophic lateral sclerosis (ALS) is one of the diseases that would benefit from this prospect. Exploring this idea, we designed a screening panel to sequence 25 ALS-linked genes and examined samples from 95 patients with both familial and sporadic ALS. Forty-three rare polymorphisms were detected in this cohort. A third of these have already been reported with respect to ALS, leaving 28 novel variants all open for further investigation. This study highlights the potential benefits of next-generation sequencing as a reliable, cost and time efficient, diagnostic, and research tool for ALS.

Original languageEnglish
Pages (from-to)1600.e5-1600.e8
Number of pages3
JournalNeurobiology of Aging
Volume36
Issue number3
DOIs
Publication statusPublished - Mar 2015

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