Evidence map›Paper›PMID 41890099›Full record

ArticlebioRxiv : the preprint server for biology2026

A meta-analysis of chromatin-associated loci provides insights into mechanistic interpretations of trait heritability.

Max F Dudek, Brandon M Wenz, Benjamin F Voight, Laura Almasy, Struan F A Grant

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

5 authors.

Max F DudekCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0001-8521-9543
Brandon M WenzGenetics and Epigenetics Program, Cell and Molecular Biology Graduate Group, Biomedical Graduate Studies, University of Pennsylvania - Perelman School of Medicine, Philadelphia, PA, USA.
Benjamin F VoightDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-6205-9994
Laura AlmasyDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-9184-8124
Struan F A GrantCenter for Spatial and Functional Genomics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.ORCID 0000-0003-2025-5302

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI A. Clementina Mesaros · 2006 to 2026
$35.3M
An interactive resource to generate and provide integrated knowledge of the human pancreasU24DK138512 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Noel P Burtt, Jason Flannick · 2024 to 2026
$9.6M
Genome Wide Association Study for Childhood ObesityR01HD056465 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI GRANT, STRUAN F A · 2008 to 2024
$9.5M
Functional Interrogation of T2D-associated genes in human stem cell-derived models and miceUM1DK126194 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GRANT, STRUAN F A, KAESTNER, KLAUS H · 2020 to 2024
$8.8M
Mapping the gene regulatory architecture of pancreatic islet-specific cell types to diabetesR01DK140340 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Kyle Jeffrie Gaulton, Benjamin Franklin Voight · 2025 to 2026
$1.5M
NIAAA NIH HHS U10 AA008401NICHD NIH HHS R01 HD056465NIDDK NIH HHS R01 DK140340NIDDK NIH HHS U24 DK138512NIDDK NIH HHS UM1 DK126194NIEHS NIH HHS P30 ES013508
6 · The paper itself

Abstract

The vast majority of trait-associated loci discovered through genome-wide association studies (GWAS) are non-coding, yet most lack statistical alignment with any discovered expression quantitative trait loci (eQTLs). In particular, eQTLs are depleted at gene-distal regions and at "functionally important" genes - those with strong selective constraint and complex regulatory landscapes - likely due to selective depletion of high-effect variants. Here, we investigate the role of variants with weaker effects on expression transmitted through distal regulatory elements, which are detectable as chromatin accessibility QTLs (caQTLs). We aggregated caQTL data from ten studies derived across different tissues, cell-types and lines, representing 104,024 lead caQTLs across 3,457 samples. We found that, across a range of gene properties, caQTLs are discovered at functionally important genes more often than eQTLs. These observations are consistent with a model in which many eQTLs and GWAS hits are mediated through genetic effects on regulatory elements, which may have weak or context-dependent effects on gene expression. Our results suggest that caQTL discovery is more sensitive than eQTL discovery in capturing the molecular consequences of GWAS hits, and can provide complimentary information to eQTLs by implicating functional mechanisms of additional disease-associated loci.

Identifiers

PMID41890099
PMCPMC13015315

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Registered trials

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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.