Evidence map›Paper›PMID 41282202›Full record

ArticleResearch square2025

Integrative functional genomics reveals transcriptional regulatory function of risk alleles for metabolic liver disease.

Wenxiang Hu, Biying Zhu, Na He, Yang Xiao, Bin Chen, Chen Li, Ravi Mandla, Yifan Liu, Jiayu Zhang, Xiao Chang and 8 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Wenxiang HuGuangzhou National Laboratory.ORCID 0000-0002-6754-5625
Biying ZhuGuangzhou National Laboratory.
Na HeGuangzhou National Laboratory.
Yang XiaoUniversity of Pennsylvania.
Bin ChenGuangzhou National Laboratory.
Chen LiGuangzhou National Laboratory.
Ravi MandlaUniversity of Pennsylvania.ORCID 0000-0002-0782-0138
Yifan LiuUniversity of Pennsylvania.
Jiayu ZhangUniversity of Pennsylvania.
Xiao ChangShandong First Medical University.
Fulong YuGuangzhou National Laboratory.
Marijana VujkovicUniversity of Pennsylvania School of Medicine.ORCID 0000-0003-4924-5714
Julie LynchSalt Lake City VA Healthcare System.ORCID 0000-0003-0108-2127
Kyong-Mi ChangThe Corporal Michael J. Crescenz Veterans Affairs Medical Center and University of Pennsylvania Perelman School of Medicine.ORCID 0000-0001-6811-9364
VA Million Veteran Program
Bogdan PasaniucUniversity of Pennsylvania.
Daniel RaderUniversity of Pennsylvania.ORCID 0000-0002-9245-9876
Mitchell A LazarUniversity of Pennsylvania.ORCID 0000-0001-8653-1280

Funding

VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DOUGLAS J EPSTEIN · 1986 to 2026
$48.3M
Nuclear Receptors in Metabolic TissuesR01DK049780 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAZAR, MITCHELL A. · 1995 to 2025
$10.8M
PPARa and related nuclear receptors in non-alcoholic fatty liver diseaseR01DK125573 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAZAR, MITCHELL A. · 2021 to 2025
$1.8M
A genomics-based strategy to precision phenotyping and drug repositioning in cardiometabolic diseasesR01DK134575 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Marijana Vujkovic · 2023 to 2026
$1.4M
Functional identification of non-coding variants associated with metabolic dysfunction-associated steatotic liver diseaseK01DK138281 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI yang Xiao · 2025 to 2026
$292k
BLRD VA I01 BX003362NIDDK NIH HHS K01 DK138281NIDDK NIH HHS P30 DK019525NIDDK NIH HHS R01 DK049780NIDDK NIH HHS R01 DK125573NIDDK NIH HHS R01 DK134575
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified nearly 100 loci associated with metabolic dysfunction-associated steatotic liver disease (MASLD), but the molecular functions of these variant alleles remain elusive, particularly when they occur in non-coding regions. Here we profiled the chromatin accessibility landscape of liver nuclei from MASLD individuals, and demonstrated these accessible genomic sites were bound by cell type-specific transcription factors (TFs) and enriched for MASLD risk variants, highlighting lineage- and disease state-specific regulation. Using a massively parallel reporter assay (MPRA), we identified hundreds of differential activity variants (DAVs) that operate in a cell type-specific manner or in a stimulus-dependent context by disrupting liver pathogenesis-associated transcriptional regulatory network. Integrative analyses combining liver eQTLs, chromatin looping, and single-cell CRISPRi screening linked these DAVs to functional target genes. Notably, we demonstrated that DAVs located near

Identifiers

PMID41282202
PMCPMC12633503

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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.