Evidence map›Paper›PMID 39285199›Full record

ArticleNature communications2024

Fundamental equations linking methylation dynamics to maximum lifespan in mammals.

Steve Horvath, Joshua Zhang, Amin Haghani, Ake T Lu, Zhe Fei

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
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

5 authors.

Steve HorvathDepartment of Human Genetics, University of California, Los Angeles, CA, USA. shorvath@altoslabs.com.ORCID 0000-0002-4110-3589
Joshua ZhangDepartment of Human Genetics, University of California, Los Angeles, CA, USA.ORCID 0000-0002-4488-1175
Amin HaghaniDepartment of Human Genetics, University of California, Los Angeles, CA, USA.
Ake T LuDepartment of Human Genetics, University of California, Los Angeles, CA, USA.
Zhe FeiDepartment of Statistics, University of California, Riverside, CA, USA. zhe.fei@ucr.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a framework that addresses concern that the rate of change in any aging biomarker displays a trivial inverse relation with maximum lifespan. We apply this framework to methylation data from the Mammalian Methylation Consortium. We study the relationship of lifespan with the average rate of change in methylation (AROCM) from two datasets: one with 90 dog breeds and the other with 125 mammalian species. After examining 54 chromatin states, we conclude three key findings: First, a reciprocal relationship exists between the AROCM in bivalent promoter regions and maximum mammalian lifespan: AROCM

Indexed as

ChromatinDNA MethylationLongevityMammalsPromoter Regions, GeneticAgingAnimalsDogsHumansChromatin

Identifiers

PMID39285199
PMCPMC11405513

What OpenQuestion holds

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LicenceCC BY
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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.