Abstract

BackgroundIn recent years many genetic variants (eSNPs) have been reported as associated with expression of transcripts in trans. However, the causal variants and regulatory mechanisms through which they act remain mostly unknown. In this paper we follow two kinds of usual suspects: SNPs that alter coding regions or transcription factors, identifiable by sequencing data with transcriptional profiles in the same cohort. We show these interpretable genomic regions are enriched for eSNP association signals, thereby naturally defining source-target gene pairs. We map these pairs onto a protein-protein interaction (PPI) network and study their topological properties.ResultsFor exonic eSNP sources, we report source-target proximity and high target degree within the PPI network. These pairs are more likely to be co-expressed and the eSNPs tend to have a cis effect, modulating the expression of the source gene. In contrast, transcription factor source-target pairs are not observed to have such properties, but instead a transcription factor source tends to assemble into units of defined functional roles along with its gene targets, and to share with them the same functional cluster of the PPI network.ConclusionsOur results suggest two modes of trans regulation: transcription factor variation frequently acts via a modular regulation mechanism, with multiple targets that share a function with the transcription factor source. Notwithstanding, exon variation often acts by a local cis effect, delineating shorter paths of interacting proteins across functional clusters of the PPI network.

Highlights

  • In recent years many genetic variants have been reported as associated with expression of transcripts in trans

  • Our results suggest that a significant fraction of expression single nucleotide polymorphism (eSNP) in exons act in trans through mild effects in cis, with a regulation mechanism that is mediated by protein-protein interaction (PPI) paths that are shorter than expected by chance and tend to traverse across functional clusters of the PPI network

  • We further examine if transcription factor (TF) candidate eSNPs exhibit qualities that are different from random

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Summary

Introduction

In recent years many genetic variants (eSNPs) have been reported as associated with expression of transcripts in trans. In this paper we follow two kinds of usual suspects: SNPs that alter coding regions or transcription factors, identifiable by sequencing data with transcriptional profiles in the same cohort We show these interpretable genomic regions are enriched for eSNP association signals, thereby naturally defining source-target gene pairs. Transcription level is considered as a quantitative trait that is altered by allelic variation with thousands of single nucleotide polymorphism (SNPs) reported as associated with changes in gene expression [10,11,12,13]. Cis associations are limited in their ability to inform us regarding the network of regulatory interactions between one gene and another This motivates more focused study of the effects of genetic variants on expression of distal transcripts (trans associations). Across multiple eSNP studies [7,18], even when statistically significant trans or cis eSNPs associations are detected aplenty, the regulatory mechanisms by which they alter gene expression remain mostly unknown

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