Evidence map›Paper›PMID 38430910›Full record

ArticleCell genomics2024

Genetic regulatory effects in response to a high-cholesterol, high-fat diet in baboons.

Wenhe Lin, Jeffrey D Wall, Ge Li, Deborah Newman, Yunqi Yang, Mark Abney, John L VandeBerg, Michael Olivier, Yoav Gilad, Laura A Cox

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
9.9field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 18 citations in OpenAlex.

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  10. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Wenhe LinDepartment of Human Genetics, The University of Chicago, Chicago, IL 60637, USA. Electronic address: wenhelin@uchicago.edu.
Jeffrey D WallInstitute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA.
Ge LiCenter for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Deborah NewmanSouthwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78229, USA.
Yunqi YangCommittee on Genetics, Genomics and System Biology, The University of Chicago, Chicago, IL 60637, USA.
Mark AbneyDepartment of Human Genetics, The University of Chicago, Chicago, IL 60637, USA.
John L VandeBergDepartment of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA.
Michael OlivierCenter for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Yoav GiladDepartment of Human Genetics, The University of Chicago, Chicago, IL 60637, USA; Department of Medicine, Section of Genetic Medicine, The University of Chicago, Chicago, IL 60637, USA. Electronic address: gilad@uchicago.edu.
Laura A CoxCenter for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA; Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78229, USA. Electronic address: laurcox@wakehealth.edu.
University of Chicago · USTexas Biomedical Research Institute · USWake Forest University · USThe University of Texas Rio Grande Valley · USUniversity of California, San Francisco · US

Funding

The Southwest National Primate Research Center Supplement- Infrastructure improvements of ABSL2 holding areasP51OD011133 · OD · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI Larry S. Schlesinger · 2012 to 2026
$129.7M
VETERINARY SERVICES--COREP01HL028972 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COX, LAURA A · 1985 to 2012
$42.0M
Development of iPSCs for comparative genomics in primatesR01HG010772 · NHGRI · UNIVERSITY OF CHICAGO · PI Yoav Gilad · 2019 to 2026
$4.8M
Characterizing and Understanding Variation in Gene Regulatory Mechanisms Within and Between Species'R35GM131726 · NIGMS · UNIVERSITY OF CHICAGO · PI Yoav Gilad · 2019 to 2026
$3.7M
NHGRI NIH HHS R01 HG010772NHLBI NIH HHS P01 HL028972NIGMS NIH HHS R35 GM131726NIH HHS P51 OD011133
6 · The paper itself

Abstract

Steady-state expression quantitative trait loci (eQTLs) explain only a fraction of disease-associated loci identified through genome-wide association studies (GWASs), while eQTLs involved in gene-by-environment (GxE) interactions have rarely been characterized in humans due to experimental challenges. Using a baboon model, we found hundreds of eQTLs that emerge in adipose, liver, and muscle after prolonged exposure to high dietary fat and cholesterol. Diet-responsive eQTLs exhibit genomic localization and genic features that are distinct from steady-state eQTLs. Furthermore, the human orthologs associated with diet-responsive eQTLs are enriched for GWAS genes associated with human metabolic traits, suggesting that context-responsive eQTLs with more complex regulatory effects are likely to explain GWAS hits that do not seem to overlap with standard eQTLs. Our results highlight the complexity of genetic regulatory effects and the potential of eQTLs with disease-relevant GxE interactions in enhancing the understanding of GWAS signals for human complex disease using non-human primate models.

Indexed as

Diet, High-FatGenome-Wide Association StudyGene Expression RegulationPhenotypeQuantitative Trait Locibaboondiet effecteQTL enrichmentGxE interactionhigh cholesterolhigh fatmetabolic diseasenonhuman primate modelresponse eQTLsex difference

Identifiers

PMID38430910
PMCPMC10943580
OpenAlexW4392359216

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.