Cargando…
A map of human microRNA variation uncovers unexpectedly high levels of variability
BACKGROUND: MicroRNAs (miRNAs) are key components of the gene regulatory network in many species. During the past few years, these regulatory elements have been shown to be involved in an increasing number and range of diseases. Consequently, the compilation of a comprehensive map of natural variabi...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4064319/ https://www.ncbi.nlm.nih.gov/pubmed/22906193 http://dx.doi.org/10.1186/gm363 |
_version_ | 1782321939335872512 |
---|---|
author | Carbonell, José Alloza, Eva Arce, Pablo Borrego, Salud Santoyo, Javier Ruiz-Ferrer, Macarena Medina, Ignacio Jiménez-Almazán, Jorge Méndez-Vidal, Cristina González-del Pozo, María Vela, Alicia Bhattacharya, Shomi S Antiñolo, Guillermo Dopazo, Joaquín |
author_facet | Carbonell, José Alloza, Eva Arce, Pablo Borrego, Salud Santoyo, Javier Ruiz-Ferrer, Macarena Medina, Ignacio Jiménez-Almazán, Jorge Méndez-Vidal, Cristina González-del Pozo, María Vela, Alicia Bhattacharya, Shomi S Antiñolo, Guillermo Dopazo, Joaquín |
author_sort | Carbonell, José |
collection | PubMed |
description | BACKGROUND: MicroRNAs (miRNAs) are key components of the gene regulatory network in many species. During the past few years, these regulatory elements have been shown to be involved in an increasing number and range of diseases. Consequently, the compilation of a comprehensive map of natural variability in a healthy population seems an obvious requirement for future research on miRNA-related pathologies. METHODS: Data on 14 populations from the 1000 Genomes Project were analyzed, along with new data extracted from 60 exomes of healthy individuals from a population from southern Spain, sequenced in the context of the Medical Genome Project, to derive an accurate map of miRNA variability. RESULTS: Despite the common belief that miRNAs are highly conserved elements, analysis of the sequences of the 1,152 individuals indicated that the observed level of variability is double what was expected. A total of 527 variants were found. Among these, 45 variants affected the recognition region of the corresponding miRNA and were found in 43 different miRNAs, 26 of which are known to be involved in 57 diseases. Different parts of the mature structure of the miRNA were affected to different degrees by variants, which suggests the existence of a selective pressure related to the relative functional impact of the change. Moreover, 41 variants showed a significant deviation from the Hardy-Weinberg equilibrium, which supports the existence of a selective process against some alleles. The average number of variants per individual in miRNAs was 28. CONCLUSIONS: Despite an expectation that miRNAs would be highly conserved genomic elements, our study reports a level of variability comparable to that observed for coding genes. |
format | Online Article Text |
id | pubmed-4064319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40643192014-06-21 A map of human microRNA variation uncovers unexpectedly high levels of variability Carbonell, José Alloza, Eva Arce, Pablo Borrego, Salud Santoyo, Javier Ruiz-Ferrer, Macarena Medina, Ignacio Jiménez-Almazán, Jorge Méndez-Vidal, Cristina González-del Pozo, María Vela, Alicia Bhattacharya, Shomi S Antiñolo, Guillermo Dopazo, Joaquín Genome Med Research BACKGROUND: MicroRNAs (miRNAs) are key components of the gene regulatory network in many species. During the past few years, these regulatory elements have been shown to be involved in an increasing number and range of diseases. Consequently, the compilation of a comprehensive map of natural variability in a healthy population seems an obvious requirement for future research on miRNA-related pathologies. METHODS: Data on 14 populations from the 1000 Genomes Project were analyzed, along with new data extracted from 60 exomes of healthy individuals from a population from southern Spain, sequenced in the context of the Medical Genome Project, to derive an accurate map of miRNA variability. RESULTS: Despite the common belief that miRNAs are highly conserved elements, analysis of the sequences of the 1,152 individuals indicated that the observed level of variability is double what was expected. A total of 527 variants were found. Among these, 45 variants affected the recognition region of the corresponding miRNA and were found in 43 different miRNAs, 26 of which are known to be involved in 57 diseases. Different parts of the mature structure of the miRNA were affected to different degrees by variants, which suggests the existence of a selective pressure related to the relative functional impact of the change. Moreover, 41 variants showed a significant deviation from the Hardy-Weinberg equilibrium, which supports the existence of a selective process against some alleles. The average number of variants per individual in miRNAs was 28. CONCLUSIONS: Despite an expectation that miRNAs would be highly conserved genomic elements, our study reports a level of variability comparable to that observed for coding genes. BioMed Central 2012-08-24 /pmc/articles/PMC4064319/ /pubmed/22906193 http://dx.doi.org/10.1186/gm363 Text en Copyright © 2012 Carbonell et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Carbonell, José Alloza, Eva Arce, Pablo Borrego, Salud Santoyo, Javier Ruiz-Ferrer, Macarena Medina, Ignacio Jiménez-Almazán, Jorge Méndez-Vidal, Cristina González-del Pozo, María Vela, Alicia Bhattacharya, Shomi S Antiñolo, Guillermo Dopazo, Joaquín A map of human microRNA variation uncovers unexpectedly high levels of variability |
title | A map of human microRNA variation uncovers unexpectedly high levels of variability |
title_full | A map of human microRNA variation uncovers unexpectedly high levels of variability |
title_fullStr | A map of human microRNA variation uncovers unexpectedly high levels of variability |
title_full_unstemmed | A map of human microRNA variation uncovers unexpectedly high levels of variability |
title_short | A map of human microRNA variation uncovers unexpectedly high levels of variability |
title_sort | map of human microrna variation uncovers unexpectedly high levels of variability |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4064319/ https://www.ncbi.nlm.nih.gov/pubmed/22906193 http://dx.doi.org/10.1186/gm363 |
work_keys_str_mv | AT carbonelljose amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT allozaeva amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT arcepablo amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT borregosalud amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT santoyojavier amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT ruizferrermacarena amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT medinaignacio amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT jimenezalmazanjorge amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT mendezvidalcristina amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT gonzalezdelpozomaria amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT velaalicia amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT bhattacharyashomis amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT antinologuillermo amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT dopazojoaquin amapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT carbonelljose mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT allozaeva mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT arcepablo mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT borregosalud mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT santoyojavier mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT ruizferrermacarena mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT medinaignacio mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT jimenezalmazanjorge mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT mendezvidalcristina mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT gonzalezdelpozomaria mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT velaalicia mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT bhattacharyashomis mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT antinologuillermo mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability AT dopazojoaquin mapofhumanmicrornavariationuncoversunexpectedlyhighlevelsofvariability |