Evidence map›Paper›PMID 40595617›Full record

ArticleNature communications2025

Transcripts with high distal heritability mediate genetic effects on complex metabolic traits.

Anna L Tyler, J Matthew Mahoney, Mark P Keller, Candice N Baker, Margaret Gaca, Anuj Srivastava, Isabela Gerdes Gyuricza, Madeleine J Braun, Nadia A Rosenthal, Alan D Attie and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Fifteen years of the Diversity Outbred mouse model: a review.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  6. Article
  7. bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Anna L Tyler *The Jackson Laboratory, Bar Harbor, Maine, USA.ORCID http://orcid.org/0000-0001-8371-2377
J Matthew Mahoney *The Jackson Laboratory, Bar Harbor, Maine, USA.ORCID http://orcid.org/0000-0003-1425-5939
Mark P KellerUniversity of Wisconsin-Madison, Biochemistry Department, Madison, WI, USA.ORCID http://orcid.org/0000-0002-7405-5552
Candice N BakerThe Jackson Laboratory, Bar Harbor, Maine, USA.ORCID http://orcid.org/0009-0008-7793-3008
Margaret GacaThe Jackson Laboratory, Bar Harbor, Maine, USA.
Anuj SrivastavaThe Jackson Laboratory for Genomic Medicine, Farmington, CT, USA.
Isabela Gerdes GyuriczaThe Jackson Laboratory, Bar Harbor, Maine, USA.
Madeleine J BraunThe Jackson Laboratory, Bar Harbor, Maine, USA.
Nadia A RosenthalThe Jackson Laboratory, Bar Harbor, Maine, USA.ORCID http://orcid.org/0000-0002-7599-7365
Alan D AttieUniversity of Wisconsin-Madison, Biochemistry Department, Madison, WI, USA.ORCID http://orcid.org/0000-0002-0568-2261
Gary A ChurchillThe Jackson Laboratory, Bar Harbor, Maine, USA. gary.churchill@jax.org.ORCID http://orcid.org/0000-0001-9190-9284
Gregory W CarterThe Jackson Laboratory, Bar Harbor, Maine, USA. gregory.carter@jax.org.ORCID http://orcid.org/0000-0002-2834-8186

Funding

Genetic Control of Metabolic Flux in Response to DietRC2DK125961 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ATTIE, ALAN D · 2020 to 2024
$8.1M
The Diversity Outbred Diabetes ProjectR01DK101573 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Alan D Attie · 2014 to 2026
$5.3M
Methods and Tools to Analyze Genetic ComplexityR01GM115518 · NIGMS · JACKSON LABORATORY · PI CARTER, GREGORY W · 2016 to 2020
$2.1M
The Role of Sorcs1 and Sortilin in Diabetes SusceptibilityR01DK102948 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI ATTIE, ALAN D · 2015 to 2019
$1.7M
Integrating high-throughput histology with systems genetics through causal graphical modelsR01GM141309 · NIGMS · JACKSON LABORATORY · PI MAHONEY, JOHN MATTHEW · 2022 to 2025
$1.5M
NIDDK NIH HHS R01 DK101573NIDDK NIH HHS R01 DK102948NIDDK NIH HHS RC2 DK125961NIGMS NIH HHS R01 GM115518NIGMS NIH HHS R01 GM141309
6 · The paper itself

Abstract

Although many genes are subject to local regulation, recent evidence suggests that complex distal regulation may be more important in mediating phenotypic variability. To assess the role of distal gene regulation in complex traits, we combine multi-tissue transcriptomes with physiological outcomes to model diet-induced obesity and metabolic disease in a population of Diversity Outbred mice. Using a novel high-dimensional mediation analysis, we identify a composite transcriptome signature that summarizes genetic effects on gene expression and explains 30% of the variation across all metabolic traits. The signature is heritable, interpretable in biological terms, and predicts obesity status from gene expression in an independently derived mouse cohort and multiple human studies. Transcripts contributing most strongly to this composite mediator frequently have complex, distal regulation distributed throughout the genome. These results suggest that trait-relevant variation in transcription is largely distally regulated, but is nonetheless identifiable, interpretable, and translatable across species.

Indexed as

Metabolic DiseasesMultifactorial InheritanceObesityQuantitative Trait, HeritableTranscriptomeAnimalsFemaleGene Expression ProfilingGene Expression RegulationHumansMaleMicePhenotype

Identifiers

PMID40595617
PMCPMC12216720

What OpenQuestion holds

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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 OpenQuestion graph.