Evidence map›Paper›PMID 40393811›Full record

ArticleGenome research2025

Genetic effects on chromatin accessibility uncover mechanisms of liver gene regulation and quantitative traits.

Kevin W Currin, Hannah J Perrin, Gautam K Pandey, Abdalla A Alkhawaja, Swarooparani Vadlamudi, Annie E Musser, Amy S Etheridge, K Alaine Broadaway, Jonathan D Rosen, Arushi Varshney and 9 more

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

19 authors.

Kevin W CurrinDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Hannah J PerrinDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-3204-859X
Gautam K PandeyDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0003-0140-718X
Abdalla A AlkhawajaDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0009-0002-9252-3724
Swarooparani VadlamudiDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0001-9650-768X
Annie E MusserDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0009-0008-1774-3050
Amy S EtheridgeDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-1857-3486
K Alaine BroadawayDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0001-7469-1041
Jonathan D RosenDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0001-6396-4219
Arushi VarshneyDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0001-9177-9707
Amarjit S ChaudhryDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.
Paul J GallinsBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695, USA.
Fred A WrightBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695, USA.
Yi-Hui ZhouBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695, USA.ORCID 0000-0002-4092-7463
Stephen C J ParkerDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-7892-193X
Erin G SchuetzDepartment of Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.ORCID 0000-0002-9783-0099
Federico InnocentiEshelman School of Pharmacy, Division of Pharmacotherapy and Experimental Therapeutics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Karen L MohlkeDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA; mohlke@med.unc.edu.ORCID 0000-0001-6721-153X

Funding

Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Pre-doctoral Training Program in Integrative Vascular BiologyT32HL069768 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christopher P. Mack · 2002 to 2026
$9.7M
Bridging the gap between type 2 diabetes GWAS and therapeutic targetsUM1DK126185 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CLAUSSNITZER, MELINA C, GLOYN, ANNA LOUISE · 2020 to 2024
$9.5M
The Genetic Epidemiology of Heart, Lung, and Blood TraitsTraining Grant (GenHLB)T32HL129982 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Christy Leigh Avery, KAREN L. MOHLKE · 2016 to 2026
$3.8M
Mass spectrometric investigation of biomolecules and druZ01DK070004 · NIDDK · DIABETES, DIGESTIVE, KIDNEY DISEASES · PI HESS, SONJA · 2005 to 2006
–
Intramural NIH HHS Z01 DK070004NHLBI NIH HHS T32 HL069768NHLBI NIH HHS T32 HL129982NIDDK NIH HHS R01 DK072193NIDDK NIH HHS UM1 DK126185NLM NIH HHS HHSN267200700004CNLM NIH HHS HHSN267200700004G
6 · The paper itself

Abstract

Chromatin accessibility quantitative trait locus (caQTL) studies have identified regulatory elements that underlie genetic effects on gene expression and metabolic traits. However, caQTL discovery has been limited by small sample sizes. Here, we map caQTLs in liver tissue from 138 human donors and identify caQTLs for 35,361 regulatory elements, including population-specific caQTLs driven by differences in allele frequency across populations. We identify 2126 genetic signals associated with multiple, presumably coordinately regulated elements. Coordinately regulated elements link distal elements to target genes and are more likely to be associated with gene expression compared with single-element caQTLs. We predict driver and response elements at coordinated loci and find that driver elements are enriched for transcription factor binding sites of key liver regulators. We identify colocalized caQTLs at 667 genome-wide association (GWAS) signals for metabolic and liver traits, and annotate these loci with predicted target genes and disrupted transcription factor binding sites. CaQTLs identify threefold more GWAS colocalizations than liver expression QTLs (eQTLs) in a larger sample size, suggesting that caQTLs can detect mechanisms missed by eQTLs. At a GWAS signal colocalized with a caQTL and an eQTL for

Indexed as

ChromatinGene Expression RegulationLiverQuantitative Trait LociBinding SitesGenome-Wide Association StudyHumansPolymorphism, Single NucleotideTranscription FactorsChromatinTranscription Factors

Identifiers

PMID40393811
PMCPMC12212085

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.