Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs

Non-coding RNAs (ncRNA) have an essential role in the complex landscape of human genetic regulatory networks. One area that is poorly explored is the effect of genetic variations on the interaction between ncRNA and their targets. By integrating a significant amount of public data, the present study...

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Autores principales: Branco, Paulo R., de Araújo, Gilderlanio S., Barrera, Júnior, Suarez-Kurtz, Guilherme, de Souza, Sandro José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177424/
https://www.ncbi.nlm.nih.gov/pubmed/30301969
http://dx.doi.org/10.1038/s41598-018-33420-z
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author Branco, Paulo R.
de Araújo, Gilderlanio S.
Barrera, Júnior
Suarez-Kurtz, Guilherme
de Souza, Sandro José
author_facet Branco, Paulo R.
de Araújo, Gilderlanio S.
Barrera, Júnior
Suarez-Kurtz, Guilherme
de Souza, Sandro José
author_sort Branco, Paulo R.
collection PubMed
description Non-coding RNAs (ncRNA) have an essential role in the complex landscape of human genetic regulatory networks. One area that is poorly explored is the effect of genetic variations on the interaction between ncRNA and their targets. By integrating a significant amount of public data, the present study cataloged the vast landscape of the regulatory effect of microRNAs (miRNA) and long intergenic noncoding RNAs (lincRNA) in the human genome. An expression quantitative trait loci (eQTL) analysis was used to identify genetic variants associated with miRNA and lincRNA and whose genotypes affect gene expression. Association networks were built for eQTL associated to traits of clinical and/or pharmacological relevance.
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spelling pubmed-61774242018-10-12 Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs Branco, Paulo R. de Araújo, Gilderlanio S. Barrera, Júnior Suarez-Kurtz, Guilherme de Souza, Sandro José Sci Rep Article Non-coding RNAs (ncRNA) have an essential role in the complex landscape of human genetic regulatory networks. One area that is poorly explored is the effect of genetic variations on the interaction between ncRNA and their targets. By integrating a significant amount of public data, the present study cataloged the vast landscape of the regulatory effect of microRNAs (miRNA) and long intergenic noncoding RNAs (lincRNA) in the human genome. An expression quantitative trait loci (eQTL) analysis was used to identify genetic variants associated with miRNA and lincRNA and whose genotypes affect gene expression. Association networks were built for eQTL associated to traits of clinical and/or pharmacological relevance. Nature Publishing Group UK 2018-10-09 /pmc/articles/PMC6177424/ /pubmed/30301969 http://dx.doi.org/10.1038/s41598-018-33420-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Branco, Paulo R.
de Araújo, Gilderlanio S.
Barrera, Júnior
Suarez-Kurtz, Guilherme
de Souza, Sandro José
Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
title Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
title_full Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
title_fullStr Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
title_full_unstemmed Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
title_short Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
title_sort uncovering association networks through an eqtl analysis involving human mirnas and lincrnas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177424/
https://www.ncbi.nlm.nih.gov/pubmed/30301969
http://dx.doi.org/10.1038/s41598-018-33420-z
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