Protocol for discovering genetic variants associated with ATAC-seq footprint-inferred transcription factor binding

Transcription factor (TF) binding is detectable in assay for transposase-accessible chromatin using sequencing (ATAC-seq) experiments, where bound TFs block transposase insertions, leaving a depletion of insertions known as a "footprint." Here, we present a computational protocol for detecting genetic variants associated with footprint-inferred TF binding. We describe steps to run the PRINT footprinting software to quantify TF binding likelihood at variants across multiple genotyped ATAC-seq samples and then run regressions to measure genetic associations. This protocol can implicate causal variants in disease-associated loci. For complete details on the use and execution of this protocol, please refer to Dudek et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-10-17
DOI
https://doi.org/10.1016/j.xpro.2025.104148
Primary Topic
Genomic variations and chromosomal abnormalities
Type
article
Field-Weighted Citation Impact
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article

Protocol for discovering genetic variants associated with ATAC-seq footprint-inferred transcription factor binding

Laura Almasy, Benjamin Franklin Voight, Max F. Dudek, Struan F.A. Grant et al.
STAR Protocols
Genomic variations and chromosomal abnormalities
article

Protocol for discovering genetic variants associated with ATAC-seq footprint-inferred transcription factor binding

Laura Almasy, Benjamin Franklin Voight, Max F. Dudek, Struan F.A. Grant, Brandon M. Wenz
article en

Abstract

Transcription factor (TF) binding is detectable in assay for transposase-accessible chromatin using sequencing (ATAC-seq) experiments, where bound TFs block transposase insertions, leaving a depletion of insertions known as a "footprint." Here, we present a computational protocol for detecting genetic variants associated with footprint-inferred TF binding. We describe steps to run the PRINT footprinting software to quantify TF binding likelihood at variants across multiple genotyped ATAC-seq samples and then run regressions to measure genetic associations. This protocol can implicate causal variants in disease-associated loci. For complete details on the use and execution of this protocol, please refer to Dudek et al.<sup>1</sup>.

STAR ProtocolsVol. 6(4)
Children's Hospital of Philadelphia (US), Translational Therapeutics (United States) (US), University of Pennsylvania (US)
Openalex Percentile: Top 68%
Genomic variations and chromosomal abnormalities
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