Evidence map›Paper›PMID 35389339›Full record

ArticleeLife2022

Genetic loci and metabolic states associated with murine epigenetic aging.

Khyobeni Mozhui, Ake T Lu, Caesar Z Li, Amin Haghani, Jose Vladimir Sandoval-Sierra, Yibo Wu, Robert W Williams, Steve Horvath

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 52 citations in OpenAlex.

  1. Transplanted hearts assimilate the recipient's biological age.bioRxiv : the preprint server for biology · 2026
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  10. Multiomic clocks to predict phenotypic age in mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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  19. Loss of H3K9 trimethylation leads to premature aging.bioRxiv : the preprint server for biology · 2024
    Article
  20. Article
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

8 authors at 3 institutions in 3 countries.

Khyobeni MozhuiDepartment of Preventive Medicine, University of Tennessee Health Science Center, College of Medicine, Memphis, United States.ORCID 0000-0002-6623-4112
Ake T LuDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States.
Caesar Z LiDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States.
Amin HaghaniDepartment of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, United States.ORCID 0000-0002-6052-8793
Jose Vladimir Sandoval-SierraDepartment of Preventive Medicine, University of Tennessee Health Science Center, College of Medicine, Memphis, United States.ORCID 0000-0003-2007-6582
Yibo WuYCI Laboratory for Next-Generation Proteomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Robert W WilliamsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, College of Medicine, Memphis, United States.
Steve HorvathDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, United States.
University of California, Los Angeles · USUniversity of Tennessee Health Science Center · USUniversity of Geneva · CH

Funding

Translational Systems Genetics of Mitochondria, Metabolism, and AgingR01AG043930 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2013 to 2017
$2.5M
DNA methylation and gene expression study of aging and lifespan differencesR21AG055841 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI MOZHUI, KHYOBENI · 2017 to 2018
$418k
NIA NIH HHS R01 AG043930NIA NIH HHS R21 AG055841
6 · The paper itself

Abstract

Changes in DNA methylation (DNAm) are linked to aging. Here, we profile highly conserved CpGs in 339 predominantly female mice belonging to the BXD family for which we have deep longevity and genomic data. We use a 'pan-mammalian' microarray that provides a common platform for assaying the methylome across mammalian clades. We computed epigenetic clocks and tested associations with DNAm entropy, diet, weight, metabolic traits, and genetic variation. We describe the multifactorial variance of methylation at these CpGs and show that high-fat diet augments the age-related changes. Entropy increases with age. The progression to disorder, particularly at CpGs that gain methylation over time, was predictive of genotype-dependent life expectancy. The longer-lived BXD strains had comparatively lower entropy at a given age. We identified two genetic loci that modulate epigenetic age acceleration (EAA): one on chromosome (Chr) 11 that encompasses the

Indexed as

Epigenesis, GeneticEpigenomicsAgingAnimalsDNA MethylationFemaleGenetic LociMaleMammalsMicechromosomesdietDNA methylationentropyepigenetic clockgene expressiongeneticsgenomicslifespanmetabolismmouse

Identifiers

PMID35389339
PMCPMC9049972
OpenAlexW4225108958

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.