Abstract

Following the “finished,” euchromatic, haploid human reference genome sequence, the rapid development of novel, faster, and cheaper sequencing technologies is making possible the era of personalized human genomics. Personal diploid human genome sequences have been generated, and each has contributed to our better understanding of variation in the human genome. We have consequently begun to appreciate the vastness of individual genetic variation from single nucleotide to structural variants. Translation of genome-scale variation into medically useful information is, however, in its infancy. This review summarizes the initial steps undertaken in clinical implementation of personal genome information, and describes the application of whole-genome and exome sequencing to identify the cause of genetic diseases and to suggest adjuvant therapies. Better analysis tools and a deeper understanding of the biology of our genome are necessary in order to decipher, interpret, and optimize clinical utility of what the variation in the human genome can teach us. Personal genome sequencing may eventually become an instrument of common medical practice, providing information that assists in the formulation of a differential diagnosis. We outline herein some of the remaining challenges.

Keywords

Personal genomicsGenomeHuman genomeDECIPHERCancer genome sequencingExome sequencingGenomicsBiologyExomeGeneticsWhole genome sequencingComputational biologyGenome projectReference genomeHuman genetic variationDNA sequencingTranslational bioinformaticsMutationGene

MeSH Terms

Genetic DiseasesInbornGenetic PrivacyGenomeHumanHapMap ProjectHuman Genome ProjectHumans

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Publication Info

Year
2011
Type
review
Volume
63
Issue
1
Pages
35-61
Citations
487
Access
Closed

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Social media, news, blog, policy document mentions

Citation Metrics

487
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15
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382
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Cite This

Claudia Gonzaga‐Jauregui, James R. Lupski, Richard A. Gibbs (2011). Human Genome Sequencing in Health and Disease. Annual Review of Medicine , 63 (1) , 35-61. https://doi.org/10.1146/annurev-med-051010-162644

Identifiers

DOI
10.1146/annurev-med-051010-162644
PMID
22248320
PMCID
PMC3656720

Data Quality

Data completeness: 86%