Evidence map›Paper›PMID 38106096›Full record

ArticlebioRxiv : the preprint server for biology2023

Somatic mutation as an explanation for epigenetic aging.

Zane Koch, Adam Li, Daniel S Evans, Steven Cummings, Trey Ideker

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Zane KochProgram in Bioinformatics and Systems Biology, University of California San Diego, La Jolla CA, 92093, USA.ORCID 0000-0003-2259-3065
Adam LiProgram in Bioinformatics and Systems Biology, University of California San Diego, La Jolla CA, 92093, USA.
Daniel S EvansCalifornia Pacific Medical Center Research Institute, San Francisco CA 94158, USA.
Steven CummingsCalifornia Pacific Medical Center Research Institute, San Francisco CA 94158, USA.
Trey IdekerProgram in Bioinformatics and Systems Biology, University of California San Diego, La Jolla CA, 92093, USA.ORCID 0000-0002-1708-8454

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BADER, GARY D. · 2012 to 2024
$17.3M
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Stephanie Irene Fraley · 2022 to 2026
$14.2M
NCI NIH HHS U54 CA274502NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

DNA methylation marks have recently been used to build models known as "epigenetic clocks" which predict calendar age. As methylation of cytosine promotes C-to-T mutations, we hypothesized that the methylation changes observed with age should reflect the accrual of somatic mutations, and the two should yield analogous aging estimates. In analysis of multimodal data from 9,331 human individuals, we find that CpG mutations indeed coincide with changes in methylation, not only at the mutated site but also with pervasive remodeling of the methylome out to ±10 kilobases. This one-to-many mapping enables mutation-based predictions of age that agree with epigenetic clocks, including which individuals are aging faster or slower than expected. Moreover, genomic loci where mutations accumulate with age also tend to have methylation patterns that are especially predictive of age. These results suggest a close coupling between the accumulation of sporadic somatic mutations and the widespread changes in methylation observed over the course of life.

Identifiers

PMID38106096
PMCPMC10723383

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.