Evidence map›Paper›PMID 41396161›Full record

ArticleeLife2025

Chromatin accessibility variation provides insights into missing regulation underlying immune-mediated diseases.

Raehoon Jeong, Martha L Bulyk

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Raehoon JeongDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, United States.ORCID https://orcid.org/0000-0001-9840-4692
Martha L BulykDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, United States.ORCID https://orcid.org/0000-0002-3456-4555

Funding

Impact of Coding Variation on Transcription Factor - DNA Recognition_Diversity SupplementR01HG010501 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARTHA L BULYK · 2019 to 2026
$6.9M
NHGRI NIH HHS R01 HG010501
6 · The paper itself

Abstract

Most genetic loci associated with complex traits and diseases through genome-wide association studies (GWAS) are noncoding, suggesting that the causal variants likely have gene regulatory effects. However, only a small number of loci have been linked to expression quantitative trait loci (eQTLs) detected currently. To better understand the potential reasons for many trait-associated loci lacking eQTL colocalization, we investigated whether chromatin accessibility QTLs (caQTLs) in lymphoblastoid cell lines (LCLs) explain immune-mediated disease associations that eQTLs in LCLs did not. The power to detect caQTLs was greater than that of eQTLs and was less affected by the distance from the transcription start site of the associated gene. Meta-analyzing LCL eQTL data to increase the sample size to over a thousand led to additional loci with eQTL colocalization, demonstrating that insufficient statistical power is still likely to be a factor. Moreover, further eQTL colocalization loci were uncovered by surveying eQTLs of other immune cell types. Altogether, insufficient power and context specificity of eQTLs both contribute to the 'missing regulation'.

Indexed as

ChromatinGene Expression RegulationGenetic Predisposition to DiseaseImmune System DiseasesQuantitative Trait LociCell LineGenome-Wide Association StudyHumansChromatincaQTLchromatin accessibilityeQTLgeneticsgenomicshumanimmune-mediated diseaseslymphoblastoid cell linesmissing regulation

Identifiers

PMID41396161
PMCPMC12705069

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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.