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Related Experiment Video

Updated: Jan 27, 2026

Author Spotlight: Advancing Chromatin Research and Overcoming Limitations with a High-Enrichment Locus-Specific Chromatin Isolation Protocol

Author Spotlight: Advancing Chromatin Research and Overcoming Limitations with a High-Enrichment Locus-Specific Chromatin Isolation Protocol

Published on: November 17, 2023

Characterizing human genomic coevolution in locus-gene regulatory interactions.

Daniel Savel¹, Mehmet Koyutürk^1,2

¹1Department of Electrical Engineering and Computer Science, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, 44106 OH USA.

|March 30, 2019

Summary

This summary is machine-generated.

Coevolutionary analysis of human genome interactions reveals that conserved loci predict target gene conservation. Coevolved locus pairs are enriched for cis-eQTL interactions, aiding in detecting regulatory elements.

Keywords:

Co-conservation Coevolution Multiple hypothesis testing Phylogenetic profile eQTL

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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

Area of Science:

Genomics
Bioinformatics
Evolutionary Biology

Background:

Coevolutionary analysis is established for predicting protein interactions across species.
Human genome annotation highlights functional roles of non-coding DNA and distant regulatory elements.

Purpose of the Study:

To characterize coevolution in human locus-gene interactions, specifically expression Quantitative Trait - Locus (eQTL) interactions.
To assess if coevolutionary patterns can predict regulatory interactions and aid in detecting novel functional elements.

Main Methods:

Analysis of coevolution in human genome locus-gene interactions, focusing on eQTLs.
Comparison of phylogenetic histories for intra-chromosomal locus and transcription start site pairs.
Evaluation of conservation status correlation between loci and their target genes.

Main Results:

Conservation status of loci predicts the conservation status of their target genes in eQTL interactions.
Coevolved intra-chromosomal locus-transcription start site pairs are enriched for cis-eQTL interactions.
Coevolutionary measures show potential for prioritizing association tests in cis-eQTL detection.

Conclusions:

Conservation patterns in loci and transcription start sites correlate with regulatory interactions.
Coevolved pairs are enriched for intra-chromosomal regulatory interactions, suggesting coevolution aids in predicting new interactions.
Genome-wide coevolutionary measures can prioritize the detection of distant or inter-chromosomal interactions, including trans-eQTLs.