Abstract

It is now well established that noncoding regulatory variants play a central role in the genetics of common diseases and in evolution. However, until recently, we have known little about the mechanisms by which most regulatory variants act. For instance, what types of functional elements in DNA, RNA, or proteins are most often affected by regulatory variants? Which stages of gene regulation are typically altered? How can we predict which variants are most likely to impact regulation in a given cell type? Recent studies, in many cases using quantitative trait loci (QTL)-mapping approaches in cell lines or tissue samples, have provided us with considerable insight into the properties of genetic loci that have regulatory roles. Such studies have uncovered novel biochemical regulatory interactions and led to the identification of previously unrecognized regulatory mechanisms. We have learned that genetic variation is often directly associated with variation in regulatory activities (namely, we can map regulatory QTLs, not just expression QTLs [eQTLs]), and we have taken the first steps towards understanding the causal order of regulatory events (for example, the role of pioneer transcription factors). Yet, in most cases, we still do not know how to interpret overlapping combinations of regulatory interactions, and we are still far from being able to predict how variation in regulatory mechanisms is propagated through a chain of interactions to eventually result in changes in gene expression profiles.

Highlights

  • Accumulating evidence indicates that gene regulatory changes often contribute to species-specific adaptations as well as to withinspecies variation in complex phenotypes [1,2], such as interindividual variation in susceptibility to disease [3,4,5]

  • We have discovered a large number of regulatory mechanisms and described in detail many biochemical interactions that contribute to gene regulation

  • Recent studies with large sample sizes have started to achieve power to reliably identify trans-expression quantitative trait locus (eQTL), i.e., variants that affect the expression of both alleles of a gene; often the variants and the regulated genes are on different chromosomes [35,36]

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Summary

Introduction

Accumulating evidence indicates that gene regulatory changes often contribute to species-specific adaptations as well as to withinspecies variation in complex phenotypes [1,2], such as interindividual variation in susceptibility to disease [3,4,5]. Recent studies have characterized interspecies and populationlevel variation in multiple aspects of gene regulation, including chromatin states [16], transcription factor (TF) binding footprints [17,18,19,20], profiles of different epigenetic markers [21,22,23,24,25], and posttranscriptional modifications [26,27,28,29,30] These studies have been able to assess the correlation between variation in different regulatory mechanisms and variation in mRNA levels, as well as— using genotype data—infer the likely causal relationship between genetic variation, changes in regulatory interactions, and differences in gene expression levels. We assess the proportion of variation in gene expression levels across individuals that could potentially be explained by variation in the regulatory mechanisms that have been studied far

Mapping Interindividual Variation in Gene Expression Levels
Findings
Mapping Interindividual Variation in Gene Regulatory Mechanisms
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