Home LiteratureArticle Details
PMID: 18704161 Published · epublish English Comparative Study Journal Article Research Support, Non-U.S. Gov't

Genetic variation in an individual human exome.

PLoS genetics ·Vol. 4 ·No. 8 ·2008-08-15 ·Pages e1000160

Ng PC, Levy S, Huang J, Stockwell TB, Walenz BP, Li K, Axelrod N, Busam DA, Strausberg RL, Venter JC

Abstract

There is much interest in characterizing the variation in a human individual, because this may elucidate what contributes significantly to a person's phenotype, thereby enabling personalized genomics. We focus here on the variants in a person's 'exome,' which is the set of exons in a genome, because the exome is believed to harbor much of the functional variation. We provide an analysis of the approximately 12,500 variants that affect the protein coding portion of an individual's genome. We identified approximately 10,400 nonsynonymous single nucleotide polymorphisms (nsSNPs) in this individual, of which approximately 15-20% are rare in the human population. We predict approximately 1,500 nsSNPs affect protein function and these tend be heterozygous, rare, or novel. Of the approximately 700 coding indels, approximately half tend to have lengths that are a multiple of three, which causes insertions/deletions of amino acids in the corresponding protein, rather than introducing frameshifts. Coding indels also occur frequently at the termini of genes, so even if an indel causes a frameshift, an alternative start or stop site in the gene can still be used to make a functional protein. In summary, we reduced the set of approximately 12,500 nonsilent coding variants by approximately 8-fold to a set of variants that are most likely to have major effects on their proteins' functions. This is our first glimpse of an individual's exome and a snapshot of the current state of personalized genomics. The majority of coding variants in this individual are common and appear to be functionally neutral. Our results also indicate that some variants can be used to improve the current NCBI human reference genome. As more genomes are sequenced, many rare variants and non-SNP variants will be discovered. We present an approach to analyze the coding variation in humans by proposing multiple bioinformatic methods to hone in on possible functional variation.

MeSH Terms
Exons Gene Frequency Genetic Diseases, Inborn/genetics Genetic Variation Genome, Human Humans Male Mutation Phenotype Polymorphism, Single Nucleotide Proteins/genetics,metabolism
Chemicals
Proteins
Authors & Affiliations
10 authors, click to expand affiliations / ORCID
Ng Pauline C
J Craig Venter Institute, Rockville, Maryland, United States of America. [email protected]
Levy Samuel
Huang Jiaqi
Stockwell Timothy B
Walenz Brian P
Li Kelvin
Axelrod Nelson
Busam Dana A
Strausberg Robert L
Venter J Craig
Conflict of Interest

The authors have declared that no competing interests exist.

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Article Info
Journal
PLoS genetics
Abbr.
PLoS Genet
ISSN
1553-7404
Published
2008-08-15
Epub
2008-00-15
Pages
e1000160
Language
English
Region
United States
NLM ID
101239074
PMCID
PMC2493042
Subset
IM
Analysis Services
Analysis Services

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