Principles of microRNA Regulation Revealed Through Modeling microRNA Expression Quantitative Trait Loci.

ABSTRACT: Extensive work has been dedicated to study mechanisms of microRNA-mediated gene regulation. However, the transcriptional regulation of microRNAs themselves is far less well understood, due to difficulties determining the transcription start sites of transient primary transcripts. This challenge can be addressed using expression quantitative trait loci (eQTLs) whose regulatory effects represent a natural source of perturbation of cis-regulatory elements. Here we used previously published cis-microRNA-eQTL data for the human GM12878 cell line, promoter predictions, and other functional annotations to determine the relationship between functional elements and microRNA regulation. We built a logistic regression model that classifies microRNA/SNP pairs into eQTLs or non-eQTLs with 85% accuracy;

SUBMITTER: Budach S 

PROVIDER: S-EPMC4981266 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature