Finding protein-coding genes through human polymorphisms.

Human gene catalogs are fundamental to the study of human biology and medicine. But they are all based on open reading frames (ORFs) in a reference genome sequence (with allowance for introns). Individual genomes, however, are polymorphic: their sequences are not identical. There has been much resea...

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Autores principales: Edward Wijaya, Martin C Frith, Paul Horton, Kiyoshi Asai
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Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/4b1f2a6ea84748a9a08c9946ab04f715
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spelling oai:doaj.org-article:4b1f2a6ea84748a9a08c9946ab04f7152021-11-18T08:00:38ZFinding protein-coding genes through human polymorphisms.1932-620310.1371/journal.pone.0054210https://doaj.org/article/4b1f2a6ea84748a9a08c9946ab04f7152013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23349826/?tool=EBIhttps://doaj.org/toc/1932-6203Human gene catalogs are fundamental to the study of human biology and medicine. But they are all based on open reading frames (ORFs) in a reference genome sequence (with allowance for introns). Individual genomes, however, are polymorphic: their sequences are not identical. There has been much research on how polymorphism affects previously-identified genes, but no research has been done on how it affects gene identification itself. We computationally predict protein-coding genes in a straightforward manner, by finding long ORFs in mRNA sequences aligned to the reference genome. We systematically test the effect of known polymorphisms with this procedure. Polymorphisms can not only disrupt ORFs, they can also create long ORFs that do not exist in the reference sequence. We found 5,737 putative protein-coding genes that do not exist in the reference, whose protein-coding status is supported by homology to known proteins. On average 10% of these genes are located in the genomic regions devoid of annotated genes in 12 other catalogs. Our statistical analysis showed that these ORFs are unlikely to occur by chance.Edward WijayaMartin C FrithPaul HortonKiyoshi AsaiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e54210 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Edward Wijaya
Martin C Frith
Paul Horton
Kiyoshi Asai
Finding protein-coding genes through human polymorphisms.
description Human gene catalogs are fundamental to the study of human biology and medicine. But they are all based on open reading frames (ORFs) in a reference genome sequence (with allowance for introns). Individual genomes, however, are polymorphic: their sequences are not identical. There has been much research on how polymorphism affects previously-identified genes, but no research has been done on how it affects gene identification itself. We computationally predict protein-coding genes in a straightforward manner, by finding long ORFs in mRNA sequences aligned to the reference genome. We systematically test the effect of known polymorphisms with this procedure. Polymorphisms can not only disrupt ORFs, they can also create long ORFs that do not exist in the reference sequence. We found 5,737 putative protein-coding genes that do not exist in the reference, whose protein-coding status is supported by homology to known proteins. On average 10% of these genes are located in the genomic regions devoid of annotated genes in 12 other catalogs. Our statistical analysis showed that these ORFs are unlikely to occur by chance.
format article
author Edward Wijaya
Martin C Frith
Paul Horton
Kiyoshi Asai
author_facet Edward Wijaya
Martin C Frith
Paul Horton
Kiyoshi Asai
author_sort Edward Wijaya
title Finding protein-coding genes through human polymorphisms.
title_short Finding protein-coding genes through human polymorphisms.
title_full Finding protein-coding genes through human polymorphisms.
title_fullStr Finding protein-coding genes through human polymorphisms.
title_full_unstemmed Finding protein-coding genes through human polymorphisms.
title_sort finding protein-coding genes through human polymorphisms.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/4b1f2a6ea84748a9a08c9946ab04f715
work_keys_str_mv AT edwardwijaya findingproteincodinggenesthroughhumanpolymorphisms
AT martincfrith findingproteincodinggenesthroughhumanpolymorphisms
AT paulhorton findingproteincodinggenesthroughhumanpolymorphisms
AT kiyoshiasai findingproteincodinggenesthroughhumanpolymorphisms
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