How chromatin interactions shed light on interpreting non-coding genomic variants: opportunities and future direc-tions

TL;DR

This paper explores how chromatin interaction data can improve interpretation of non-coding genomic variants like CNVs and GWAS SNPs, revealing their regulatory impacts and implications for personalized medicine.

Contribution

It integrates chromatin interaction data with genetic variants to uncover their functional effects on gene regulation, advancing understanding of non-coding variant significance.

Findings

Chromatin interactions help interpret non-coding variants' regulatory roles.

Structural variants disrupt gene regulatory networks.

Insights support personalized medicine approaches.

Abstract

Genomic variants, including copy number variants (CNVs) and genome-wide associa-tion study (GWAS) single nucleotide polymorphisms (SNPs), represent structural alterations that influence genomic diversity and disease susceptibility. While coding region variants have been extensively studied, non-coding and regulatory variants present significant challenges due to their potential impacts on gene regulation, which are often obscured by the complexity of the ge-nome. Chromatin interactions, which organize the genome spatially and regulate gene expression through enhancer-promoter contacts, predominantly occur in non-coding regions. Notably, more than 90% of enhancers, crucial for gene regulation, reside in these non-coding regions, underscor-ing their importance in interpreting the regulatory effects of CNVs and GWAS-associated SNPs. In this study, we integrate chromatin interaction data with CNV and GWAS data to uncover the functional implications of non-coding variants. By leveraging this integrated approach, we pro-vide new insights into how structural variants and disease-associated SNPs disrupt regulatory networks, advancing our understanding of genetic complexity. These findings offer potential av-enues for personalized medicine by elucidating disease mechanisms and guiding therapeutic strategies tailored to individual genomic profiles. This research underscores the critical role of chromatin interactions in revealing the regulatory consequences of non-coding variants, bridging the gap between genetic variation and phenotypic outcomes.