Evidence map›Paper›PMID 39986281›Full record

ArticleCell genomics2025

Multiomic QTL mapping reveals phenotypic complexity of GWAS loci and prioritizes putative causal variants.

Timothy D Arthur, Jennifer P Nguyen, Benjamin A Henson, Agnieszka D'Antonio-Chronowska, Jeffrey Jaureguy, Nayara Silva, iPSCORE Consortium, Athanasia D Panopoulos, Juan Carlos Izpisua Belmonte, Matteo D'Antonio and 2 more

Abstract read
In one paragraph

Article in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  18. bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Timothy D ArthurBiomedical Sciences Program, University of California, San Diego, La Jolla, CA 92093, USA; Department of Biomedical Informatics, University of California, San Diego, La Jolla, CA 92093, USA.
Jennifer P NguyenDepartment of Biomedical Informatics, University of California, San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Benjamin A HensonInstitute of Genomic Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Agnieszka D'Antonio-ChronowskaCenter for Epigenomics, University of California San Diego, School of Medicine, La Jolla, CA 92093, USA.
Jeffrey JaureguyBioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA; Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Nayara SilvaDepartment of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA.
iPSCORE Consortium
Athanasia D PanopoulosBoard of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Juan Carlos Izpisua BelmonteAltos Labs, Inc., San Diego, CA 94022, USA.
Matteo D'AntonioDepartment of Biomedical Informatics, University of California, San Diego, La Jolla, CA 92093, USA.
Graham McVickerIntegrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Kelly A FrazerInstitute of Genomic Medicine, University of California San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: kafrazer@health.ucsd.edu.

Funding

Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Genetic & Social Determinants of Health: Center for Admixture Science and TechnologyRM1HG011558 · NHGRI · YALE UNIVERSITY · PI FRAZER, KELLY A, GYMREK, MELISSA · 2021 to 2025
$11.2M
REGULATORY GENOMIC STUDIES IN A COHORT OF IPS CELL DERIVED CARDIOMYOCYTESU01HL107442 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI EVANS, SYLVIA M, FRAZER, KELLY A · 2011 to 2016
$9.8M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Functional Analysis of T2D Associated Non-coding SNPsU01DK105541 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI FRAZER, KELLY A, REN, BING · 2015 to 2019
$4.6M
Fine-mapping and functional analysis of T1D-associated variantsDP3DK112155 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRAZER, KELLY A, SANDER, MAIKE · 2016 to 2016
$3.3M
Optimizing HaploSeq for whole-genome phased haplotypes in biomedical applicationsR41HG008118 · NHGRI · ARIMA GENOMICS, LLC · PI FRAZER, KELLY A, HEINTZMAN, NATE · 2015 to 2016
$822k
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
Pancreas cell type-specific regulatory variants and T2D disease risk associationF31DK131867 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NGUYEN, JENNIFER PHUONG · 2022 to 2023
$80k
Cardiac stage-specific regulatory variants and their disease risk associationF31HL158198 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARTHUR, TIMOTHY DONALD · 2021 to 2022
$79k
NHGRI NIH HHS R41 HG008118NHGRI NIH HHS RM1 HG011558NHLBI NIH HHS F31 HL158198NHLBI NIH HHS U01 HL107442NIDDK NIH HHS DP3 DK112155NIDDK NIH HHS F31 DK131867NIDDK NIH HHS P30 DK063491NIDDK NIH HHS U01 DK105541NIH HHS S10 OD026929NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Most GWAS loci are presumed to affect gene regulation; however, only ∼43% colocalize with expression quantitative trait loci (eQTLs). To address this colocalization gap, we map eQTLs, chromatin accessibility QTLs (caQTLs), and histone acetylation QTLs (haQTLs) using molecular samples from three early developmental-like tissues. Through colocalization, we annotate 10.4% (n = 540) of GWAS loci in 15 traits by QTL phenotype, temporal specificity, and complexity. We show that integration of chromatin QTLs results in a 2.3-fold higher annotation rate of GWAS loci because they capture distal GWAS loci missed by eQTLs, and that 5.4% (n = 13) of GWAS colocalizing eQTLs are early developmental specific. Finally, we utilize the iPSCORE multiomic QTLs to prioritize putative causal variants overlapping transcription factor motifs to elucidate the potential genetic underpinnings of 296 GWAS-QTL colocalizations.

Indexed as

Chromosome MappingGenome-Wide Association StudyQuantitative Trait LociChromatinHistonesHumansPhenotypePolymorphism, Single NucleotideChromatinHistoneschromatin accessibility QTLsexpression QTLsGWAShistone acetylation QTLsinduced pluripotent stem cellsiPSC-derived cardiovascular progenitorsiPSC-derived pancreatic precursorsmultiomic QTLsQTLsquantitative trait loci

Identifiers

PMID39986281
PMCPMC11960542

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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.