Ultra high throughput sequencing in human DNA variation detection: a comparative study on the NDUFA3-PRPF31 region.

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Serval ID
serval:BIB_42A7D6B604D2
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Ultra high throughput sequencing in human DNA variation detection: a comparative study on the NDUFA3-PRPF31 region.
Journal
PLoS One
Author(s)
Benaglio P., Rivolta C.
ISSN
1932-6203[electronic], 1932-6203[linking]
Publication state
Published
Issued date
2010
Peer-reviewed
Oui
Volume
5
Number
9
Pages
e13071
Language
english
Abstract
BACKGROUND: Ultra high throughput sequencing (UHTS) technologies find an important application in targeted resequencing of candidate genes or of genomic intervals from genetic association studies. Despite the extraordinary power of these new methods, they are still rarely used in routine analysis of human genomic variants, in part because of the absence of specific standard procedures. The aim of this work is to provide human molecular geneticists with a tool to evaluate the best UHTS methodology for efficiently detecting DNA changes, from common SNPs to rare mutations. METHODOLOGY/PRINCIPAL FINDINGS: We tested the three most widespread UHTS platforms (Roche/454 GS FLX Titanium, Illumina/Solexa Genome Analyzer II and Applied Biosystems/SOLiD System 3) on a well-studied region of the human genome containing many polymorphisms and a very rare heterozygous mutation located within an intronic repetitive DNA element. We identify the qualities and the limitations of each platform and describe some peculiarities of UHTS in resequencing projects. CONCLUSIONS/SIGNIFICANCE: When appropriate filtering and mapping procedures are applied UHTS technology can be safely and efficiently used as a tool for targeted human DNA variations detection. Unless particular and platform-dependent characteristics are needed for specific projects, the most relevant parameter to consider in mainstream human genome resequencing procedures is the cost per sequenced base-pair associated to each machine.
Pubmed
Web of science
Open Access
Yes
Create date
15/10/2010 16:44
Last modification date
20/08/2019 14:45
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