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Exome Sequencing: Current and Future Perspectives

Authors: Warr, Amanda; Robert, Christelle; Hume, David; Archibald, Alan; Deeb, Nader; Watson, Mick;

Exome Sequencing: Current and Future Perspectives

Abstract

The falling cost of DNA sequencing has made the technology af fordable to many research groups, enabling researchers to link genomic variants to observed phenotypes in a range of species. This review focusses on whole exome sequencing and its applications in humans and other species. The exome has traditionally been defined to consist of only the protein coding portion of the genome; a region where mutations are likely to affect protein structure and function. There are several commercial kits available for exome sequencing in a number of species and, owing to the highly conserved nature of exons, many of these can be applied to other closely related species. The data set produced from exome sequencing is many times smaller than that of whole genome sequencing, making it more easily manageable and the analysis less complex. Exome sequencing for disease gene discovery in humans is well established and has been used successfully to identify mutations that are causative of complex and rare diseases. Exome sequencing has also been used in a number of domesticated and companion species. The successful application of exome sequencing to crops has yielded results that may be used in selective breeding to improve production in these species, and there is potential for exome sequenc- ing to provide similar advances in livestock species that have not yet been realised.

Countries
United Kingdom, Australia
Related Organizations
Keywords

Genetic Markers, 2716 Genetics (clinical), Genome, High-Throughput Nucleotide Sequencing, DNA, Sequence Analysis, DNA, Plants, 1311 Genetics, 1312 Molecular Biology, Genetics, Animals, Humans, Genetics(clinical), Exome, Molecular Biology, Perspectives

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    189
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
189
Top 1%
Top 10%
Top 1%
Green
gold