The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Massively parallel sequencing and rare disease
Open accessAbstract
Massively parallel sequencing has enabled the rapid, systematic identification of variants on a large scale. This has, in turn, accelerated the pace of gene discovery and disease diagnosis on a molecular level and has the potential to revolutionize methods particularly for the analysis of Mendelian disease. Using massively parallel sequencing has enabled investigators to interrogate variants both in the context of linkage intervals and also on a genome-wide scale, in the absence of linkage information entirely. The primary challenge now is to distinguish between background polymorphisms and pathogenic mutations. Recently developed strategies for rare monogenic disorders have met with some early success. These strategies include filtering for potential causal variants based on frequency and function, and also ranking variants based on conservation scores and predicted deleteriousness to protein structure. Here, we review the recent literature in the use of high-throughput sequence data and its analysis in the discovery of causal mutations for rare disorders.
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Targeted capture and massively parallel sequencing of 12 human exomes
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Self-citationExome sequencing identifies the cause of a mendelian disorder
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Self-citationThe Human Gene Mutation Database: 2008 update
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Cited by
Genetic architectures of psychiatric disorders: the emerging picture and its implications
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The Genetic Basis of Mendelian Phenotypes: Discoveries, Challenges, and Opportunities
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Self-citationMolecular genetic testing and the future of clinical genomics
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Exome sequencing and the genetic basis of complex traits
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Metadata
- Authors
- Ng, S. B., Nickerson, D. A., Bamshad, M. J., & Shendure, J.
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-09-15
- Volume
- 19
- Issue
- R2
- Pages
- R119-R124
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- OpenAlex
- W2139563991
- Cited by
- 178
- References
- 9
- FWCI
- 16.77
- Type
- journal article
- Language
- en
- Open access
- bronze
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