Cargando…

In silico identification of pseudo-exon activation events in personal genome and transcriptome data

Causative mutations for human genetic disorders have mainly been identified in exonic regions that code for amino acid sequences. Recently, however, it has been reported that mutations in deep intronic regions can also cause certain human genetic disorders by creating novel splice sites, leading to...

Descripción completa

Detalles Bibliográficos
Autores principales: Sakaguchi, Narumi, Suyama, Mikita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7951959/
https://www.ncbi.nlm.nih.gov/pubmed/32865117
http://dx.doi.org/10.1080/15476286.2020.1809195
_version_ 1783663639034593280
author Sakaguchi, Narumi
Suyama, Mikita
author_facet Sakaguchi, Narumi
Suyama, Mikita
author_sort Sakaguchi, Narumi
collection PubMed
description Causative mutations for human genetic disorders have mainly been identified in exonic regions that code for amino acid sequences. Recently, however, it has been reported that mutations in deep intronic regions can also cause certain human genetic disorders by creating novel splice sites, leading to pseudo-exon activation. To investigate how frequently pseudo-exon activation events occur in normal individuals, we conducted in silico identification of such events using personal genome data and corresponding high-quality transcriptome data. With rather stringent conditions, on average, 2.6 pseudo-exon activation events per individual were identified. More pseudo-exon activation events were found in 5′ donor splice sites than in 3′ acceptor splice sites. Although pseudo-exon activation events have sporadically been reported as causative mutations in genetic disorders, it is revealed in this study that such events can be observed in normal individuals at a certain frequency. We estimate that human genomes typically contain on average at least 10 pseudo-exon activation events. The actual number should be higher than this, because we used stringent criteria to identify pseudo-exon activation events. This suggests that it is worth considering the possibility of pseudo-exon activation when searching for causative mutations of genetic disorders if candidate mutations are not identified in coding regions or RNA splice sites.
format Online
Article
Text
id pubmed-7951959
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-79519592021-03-23 In silico identification of pseudo-exon activation events in personal genome and transcriptome data Sakaguchi, Narumi Suyama, Mikita RNA Biol Research Paper Causative mutations for human genetic disorders have mainly been identified in exonic regions that code for amino acid sequences. Recently, however, it has been reported that mutations in deep intronic regions can also cause certain human genetic disorders by creating novel splice sites, leading to pseudo-exon activation. To investigate how frequently pseudo-exon activation events occur in normal individuals, we conducted in silico identification of such events using personal genome data and corresponding high-quality transcriptome data. With rather stringent conditions, on average, 2.6 pseudo-exon activation events per individual were identified. More pseudo-exon activation events were found in 5′ donor splice sites than in 3′ acceptor splice sites. Although pseudo-exon activation events have sporadically been reported as causative mutations in genetic disorders, it is revealed in this study that such events can be observed in normal individuals at a certain frequency. We estimate that human genomes typically contain on average at least 10 pseudo-exon activation events. The actual number should be higher than this, because we used stringent criteria to identify pseudo-exon activation events. This suggests that it is worth considering the possibility of pseudo-exon activation when searching for causative mutations of genetic disorders if candidate mutations are not identified in coding regions or RNA splice sites. Taylor & Francis 2020-08-30 /pmc/articles/PMC7951959/ /pubmed/32865117 http://dx.doi.org/10.1080/15476286.2020.1809195 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Research Paper
Sakaguchi, Narumi
Suyama, Mikita
In silico identification of pseudo-exon activation events in personal genome and transcriptome data
title In silico identification of pseudo-exon activation events in personal genome and transcriptome data
title_full In silico identification of pseudo-exon activation events in personal genome and transcriptome data
title_fullStr In silico identification of pseudo-exon activation events in personal genome and transcriptome data
title_full_unstemmed In silico identification of pseudo-exon activation events in personal genome and transcriptome data
title_short In silico identification of pseudo-exon activation events in personal genome and transcriptome data
title_sort in silico identification of pseudo-exon activation events in personal genome and transcriptome data
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7951959/
https://www.ncbi.nlm.nih.gov/pubmed/32865117
http://dx.doi.org/10.1080/15476286.2020.1809195
work_keys_str_mv AT sakaguchinarumi insilicoidentificationofpseudoexonactivationeventsinpersonalgenomeandtranscriptomedata
AT suyamamikita insilicoidentificationofpseudoexonactivationeventsinpersonalgenomeandtranscriptomedata