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


ABSTRACT: 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.

SUBMITTER: Branco PR 

PROVIDER: S-EPMC6177424 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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

Branco Paulo R PR   de Araújo Gilderlanio S GS   Barrera Júnior J   Suarez-Kurtz Guilherme G   de Souza Sandro José SJ  

Scientific reports 20181009 1


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  ...[more]

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