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Dataset Information

Structural basis of differential gene expression at eQTLs loci from high-resolution ensemble models of 3D single-cell chromatin conformations.


ABSTRACT:

Motivation

Techniques such as high-throughput chromosome conformation capture (Hi-C) have provided a wealth of information on nucleus organization and genome important for understanding gene expression regulation. Genome-Wide Association Studies have identified numerous loci associated with complex traits. Expression quantitative trait loci (eQTL) studies have further linked the genetic variants to alteration in expression levels of associated target genes across individuals. However, the functional roles of many eQTLs in noncoding regions remain unclear. Current joint analyses of Hi-C and eQTLs data lack advanced computational tools, limiting what can be learned from these data.

Results

We developed a computational method for simultaneous analysis of Hi-C and eQTL data, cap

SUBMITTER: Du L 

PROVIDER: S-EPMC11835231 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature