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

Detalhes bibliográficos
Autor(a) principal: Branco, Paulo R.
Data de Publicação: 2018
Outros Autores: Araújo, Gilderlanio S. de, Barrera, Júnior, Suarez-Kurtz, Guilherme, Souza, Sandro José de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRN
Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/26433
Resumo: 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 Branco, Paulo R.Araújo, Gilderlanio S. deBarrera, JúniorSuarez-Kurtz, GuilhermeSouza, Sandro José de2019-01-09T12:36:02Z2019-01-09T12:36:02Z2018-10-09BRANCO, P. R. et al. Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs. Sci Rep., v. 8, p. 15050, out. 2018. doi: 10.1038/s41598-018-33420-zhttps://repositorio.ufrn.br/jspui/handle/123456789/2643310.1038/s41598-018-33420-zenggenetichuman genomelong intergenic noncoding RNAmicroRNAnon-coding RNAeQTLUncovering association networks through an eQTL analysis involving human miRNAs and lincRNAsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleNon-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. 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dc.title.pt_BR.fl_str_mv 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
spellingShingle Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
Branco, Paulo R.
genetic
human genome
long intergenic noncoding RNA
microRNA
non-coding RNA
eQTL
title_short 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_sort Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs
author Branco, Paulo R.
author_facet Branco, Paulo R.
Araújo, Gilderlanio S. de
Barrera, Júnior
Suarez-Kurtz, Guilherme
Souza, Sandro José de
author_role author
author2 Araújo, Gilderlanio S. de
Barrera, Júnior
Suarez-Kurtz, Guilherme
Souza, Sandro José de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Branco, Paulo R.
Araújo, Gilderlanio S. de
Barrera, Júnior
Suarez-Kurtz, Guilherme
Souza, Sandro José de
dc.subject.por.fl_str_mv genetic
human genome
long intergenic noncoding RNA
microRNA
non-coding RNA
eQTL
topic genetic
human genome
long intergenic noncoding RNA
microRNA
non-coding RNA
eQTL
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.
publishDate 2018
dc.date.issued.fl_str_mv 2018-10-09
dc.date.accessioned.fl_str_mv 2019-01-09T12:36:02Z
dc.date.available.fl_str_mv 2019-01-09T12:36:02Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv BRANCO, P. R. et al. Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs. Sci Rep., v. 8, p. 15050, out. 2018. doi: 10.1038/s41598-018-33420-z
dc.identifier.uri.fl_str_mv https://repositorio.ufrn.br/jspui/handle/123456789/26433
dc.identifier.doi.none.fl_str_mv 10.1038/s41598-018-33420-z
identifier_str_mv BRANCO, P. R. et al. Uncovering association networks through an eQTL analysis involving human miRNAs and lincRNAs. Sci Rep., v. 8, p. 15050, out. 2018. doi: 10.1038/s41598-018-33420-z
10.1038/s41598-018-33420-z
url https://repositorio.ufrn.br/jspui/handle/123456789/26433
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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instname_str Universidade Federal do Rio Grande do Norte (UFRN)
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