Leveraging allelic imbalance in accessible chromatin to prioritize putative causal variants

Genome-wide association studies (GWASs) have uncovered many SNPs associated with complex diseases, but identifying the causal genetic variants remains very difficult. This review focuses on allele-specific chromatin accessibility (CA) variants (ASCAVs)-which are SNPs that influence CA, binding of transcription factors, and gene expression-by integrating allelic imbalance analysis with assay for transposase-accessible chromatin using sequencing (ATAC-seq) data. We discuss the underlying biological mechanisms, methodologies, and benefits of ASCAV detection by ATAC-seq, emphasizing how integrating ASCAVs with GWAS and multiomics datasets enhances the prioritization of putative causal SNPs for functional studies. By leveraging allelic imbalance in ATAC-seq, researchers can bridge the gap between GWAS signals and molecular mechanisms, advancing our understanding of gene regulation.

Authors

Institutions

Publication Details

Journal
Trends in Genetics
Published
2026-02-01
DOI
https://doi.org/10.1016/j.tig.2025.12.008
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging allelic imbalance in accessible chromatin to prioritize putative causal variants

Regina Elorm Amoaning, Riham Moharam, Shumeng Luo, Shea Ping Yip et al.
Trends in Genetics
Genetic Associations and Epidemiology
article

Leveraging allelic imbalance in accessible chromatin to prioritize putative causal variants

Regina Elorm Amoaning, Riham Moharam, Shumeng Luo, Shea Ping Yip, Lordjie Marr O. Morilla, Chien-Ling Huang
article en

Abstract

Genome-wide association studies (GWASs) have uncovered many SNPs associated with complex diseases, but identifying the causal genetic variants remains very difficult. This review focuses on allele-specific chromatin accessibility (CA) variants (ASCAVs)-which are SNPs that influence CA, binding of transcription factors, and gene expression-by integrating allelic imbalance analysis with assay for transposase-accessible chromatin using sequencing (ATAC-seq) data. We discuss the underlying biological mechanisms, methodologies, and benefits of ASCAV detection by ATAC-seq, emphasizing how integrating ASCAVs with GWAS and multiomics datasets enhances the prioritization of putative causal SNPs for functional studies. By leveraging allelic imbalance in ATAC-seq, researchers can bridge the gap between GWAS signals and molecular mechanisms, advancing our understanding of gene regulation.

Trends in Genetics
Hong Kong Polytechnic University (HK)
Openalex Percentile: Top 48%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.