Using the plurality of codon positions to identify deleterious variants in human exomes

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Author(s)
Sankarasubramanian, Sankar
Griffith University Author(s)
Year published
2015
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Motivation: A codon position could perform different or multiple roles in alternative transcripts of a gene. For instance a nonsynonymous position in one transcript could be a synonymous site in another. Alternatively, a position could remain as nonsynonymous in multiple transcripts. Here we examined the impact of codon position plurality on the frequency of deleterious single nucleotide variations (SNVs) using data from 6500 human exomes. Results: Our results showed that the proportion of deleterious SNVs was more than twofold higher in positions that remain nonsynonymous in multiple transcripts compared to that observed ...
View more >Motivation: A codon position could perform different or multiple roles in alternative transcripts of a gene. For instance a nonsynonymous position in one transcript could be a synonymous site in another. Alternatively, a position could remain as nonsynonymous in multiple transcripts. Here we examined the impact of codon position plurality on the frequency of deleterious single nucleotide variations (SNVs) using data from 6500 human exomes. Results: Our results showed that the proportion of deleterious SNVs was more than twofold higher in positions that remain nonsynonymous in multiple transcripts compared to that observed in positions that are nonsynonymous in one or some transcript(s) and synonymous or intronic in other(s). Furthermore we observed a positive relationship between the fraction of deleterious nonsynonymous SNVs and the number of proteins (alternative splice variants) affected. These results demonstrate that the plurality of codon positions is an important attribute, which could be useful in identifying mutations associated with diseases.
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View more >Motivation: A codon position could perform different or multiple roles in alternative transcripts of a gene. For instance a nonsynonymous position in one transcript could be a synonymous site in another. Alternatively, a position could remain as nonsynonymous in multiple transcripts. Here we examined the impact of codon position plurality on the frequency of deleterious single nucleotide variations (SNVs) using data from 6500 human exomes. Results: Our results showed that the proportion of deleterious SNVs was more than twofold higher in positions that remain nonsynonymous in multiple transcripts compared to that observed in positions that are nonsynonymous in one or some transcript(s) and synonymous or intronic in other(s). Furthermore we observed a positive relationship between the fraction of deleterious nonsynonymous SNVs and the number of proteins (alternative splice variants) affected. These results demonstrate that the plurality of codon positions is an important attribute, which could be useful in identifying mutations associated with diseases.
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Journal Title
Bioinformatics
Volume
31
Issue
3
Copyright Statement
© 2015 Oxford University Press. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version. Using the plurality of codon positions to identify deleterious variants in human exomes, Bioinformatics, Vol. 31 (3), 2015, pp. 301-305 is available online at: http://dx.doi.org/10.1093/bioinformatics/btu653.
Subject
Population, Ecological and Evolutionary Genetics
Mathematical Sciences
Biological Sciences
Information and Computing Sciences