Evidence map›Paper›PMID 42239447›Full record

ArticlebioRxiv : the preprint server for biology2026

Autoimmune non-coding variants perturb transcription factor-cofactor complex assembly linked to enhancer activity.

Maryam Dashtiahangar, Trevor Siggers

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Maryam DashtiahangarDepartment of Biology, Boston University, Boston, MA, USA.
Trevor SiggersDepartment of Biology, Boston University, Boston, MA, USA.ORCID 0000-0002-8039-7639

Funding

Synthetic Biology and Biotechnology (SB2) Predoctoral Training ProgramT32GM130546 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHEN, CHRISTOPHER S, KHALIL, AHMAD SAMIR · 2019 to 2023
$1.0M
CASCADE: A high-throughput assay to characterize gene-regulatory complexes affected by single-nucleotide polymorphismsR21HG011289 · NHGRI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SIGGERS, TREVOR · 2020 to 2020
$454k
NHGRI NIH HHS R21 HG011289NIGMS NIH HHS T32 GM130546
6 · The paper itself

Abstract

Most autoimmune disease-associated variants lie in non-coding regions, but the molecular mechanisms linking these variants to gene regulation remain poorly understood. A major unresolved challenge is to determine how disease alleles alter transcription factor (TF) binding, cofactor (COF) recruitment, and enhancer activity at scale. Here, we used the CASCADE method to profile differential binding of five TFs and ten COFs to 2,901 autoimmune disease-associated variants in Jurkat T cells, identifying 516 binding-modulating variants. Variants impacting binding were enriched among MPRA-defined expression-modulating variants and were strongly concordant with allele-specific reporter expression, linking altered TF/COF recruitment to enhancer activity. A majority of variants perturb binding of five major TF families - ETS, RUNX, SP/KLF, OVOL/MYBL, and bHLH - all of which have established roles in T cell biology. Notably, we find that ETS and RUNX factor binding is enriched at different variant functional classes, suggesting that they act through distinct regulatory mechanisms at disease loci. We describe allele-dependent regulator "switching" at several loci, where distinct complexes are found at reference and variants alleles, and we identify a recurrent regulatory module involving FOXM1 and the cofactors TIP60, BRD4, NCOA3, and NCOA1 assembling on ETS sites that tracks with gene expression. Together, this integrated biochemical and functional framework prioritizes autoimmune disease-associated variants by linking allele-specific TF/COF binding mechanisms to enhancer activity.

Identifiers

PMID42239447
PMCPMC13228337

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.