Strategies for exome and genome sequence data analysis in disease-gene discovery projects

Robinson PN, Krawitz P, Mundlos S. Strategies for exome and genome sequence data analysis in disease‐gene discovery projects. In whole‐exome sequencing (WES), target capture methods are used to enrich the sequences of the coding regions of genes from fragmented total genomic DNA, followed by massive...

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Veröffentlicht in:Clinical genetics 2011-08, Vol.80 (2), p.127-132
Hauptverfasser: Robinson, PN, Krawitz, P, Mundlos, S
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Sprache:eng
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Zusammenfassung:Robinson PN, Krawitz P, Mundlos S. Strategies for exome and genome sequence data analysis in disease‐gene discovery projects. In whole‐exome sequencing (WES), target capture methods are used to enrich the sequences of the coding regions of genes from fragmented total genomic DNA, followed by massively parallel, ‘next‐generation’ sequencing of the captured fragments. Since its introduction in 2009, WES has been successfully used in several disease‐gene discovery projects, but the analysis of whole‐exome sequence data can be challenging. In this overview, we present a summary of the main computational strategies that have been applied to identify novel disease genes in whole‐exome data, including intersect filters, the search for de novo mutations, and the application of linkage mapping or inference of identity‐by‐descent (IBD) in family studies.
ISSN:0009-9163
1399-0004
DOI:10.1111/j.1399-0004.2011.01713.x