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Whole-Genome Sequencing in Personalized Therapeutics

Authors: P, Cordero; E A, Ashley;

Whole-Genome Sequencing in Personalized Therapeutics

Abstract

Eleven years since the initial drafts of the human genome were published, we have begun to see the first examples of the application of whole-genome sequencing to personalized diagnosis and therapeutics. The exponential decline in sequencing costs and the constant improvement in these technologies promise to further advance the use of a patient's full genetic profile in the clinic. However, realizing the potential benefit of such sequencing will require a concerted effort by science, medicine, law, and management. In this review, we discuss current approaches to decoding the 6 billion-letter genetic code of a whole genome in a clinical context, give current examples of translating this information into therapy-guiding knowledge, and list the challenges that will need to be surmounted before these powerful data can be fully exploited to forward the goals of personalized medicine.

Related Organizations
Keywords

Genome, Human, Genetic Variation, Antineoplastic Agents, DNA, Polymorphism, Single Nucleotide, Drug Therapy, Pharmacogenetics, Neoplasms, Genomic Structural Variation, Humans, Genetic Testing, Preventive Medicine, Precision Medicine, Pseudogenes, Repetitive Sequences, Nucleic Acid

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    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 10%
    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 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
36
Top 10%
Top 10%
Top 10%
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