Evidence map›Paper›PMID 36699128›Full record

ArticleEvolutionary applications2023

An epigenetic DNA methylation clock for age estimates in Indo-Pacific bottlenose dolphins (

Katharina J Peters, Livia Gerber, Luca Scheu, Riccardo Cicciarella, Joseph A Zoller, Zhe Fei, Steve Horvath, Simon J Allen, Stephanie L King, Richard C Connor and 2 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.1field-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

16 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
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  9. Estimating Polar Bear (Ecology and evolution · 2025
    Article
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  11. The androgen clock is an epigenetic predictor of long-term male hormone exposure.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

12 authors at 8 institutions in 6 countries.

Katharina J PetersEvolutionary Genetics Group, Department of Anthropology University of Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-5967-0928
Livia GerberEvolutionary Genetics Group, Department of Anthropology University of Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-1247-2262
Luca ScheuEvolutionary Genetics Group, Department of Anthropology University of Zurich Zurich Switzerland.
Riccardo CicciarellaEvolutionary Genetics Group, Department of Anthropology University of Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0003-2424-9348
Joseph A ZollerDepartment of Biostatistics, Fielding School of Public Health University of California Los Angeles Los Angeles, California USA.ORCID https://orcid.org/0000-0001-6309-0291
Zhe FeiDepartment of Biostatistics, Fielding School of Public Health University of California Los Angeles Los Angeles, California USA.ORCID https://orcid.org/0000-0001-9568-2857
Steve HorvathDepartment of Biostatistics, Fielding School of Public Health University of California Los Angeles Los Angeles, California USA.ORCID https://orcid.org/0000-0002-4110-3589
Simon J AllenEvolutionary Genetics Group, Department of Anthropology University of Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0002-2260-8143
Stephanie L KingSchool of Biological Sciences University of Bristol Bristol UK.ORCID https://orcid.org/0000-0003-2293-9185
Richard C ConnorBiology Department UMASS Dartmouth North Dartmouth, Massachusetts USA.
Lee Ann RollinsEvolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences University of New South Wales Sydney, New South Wales Australia.ORCID https://orcid.org/0000-0002-3279-7005
Michael KrützenEvolutionary Genetics Group, Department of Anthropology University of Zurich Zurich Switzerland.ORCID https://orcid.org/0000-0003-1055-5299
University of Zurich · CHThe University of Western Australia · AUFleet Science Center · USFlinders University · AUUniversity of California, Los Angeles · USUniversity of California, Riverside · USUniversity of Massachusetts Dartmouth · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of an animal's chronological age is crucial for understanding and predicting population demographics, survival and reproduction, but accurate age determination for many wild animals remains challenging. Previous methods to estimate age require invasive procedures, such as tooth extraction to analyse growth layers, which are difficult to carry out with large, mobile animals such as cetaceans. However, recent advances in epigenetic methods have opened new avenues for precise age determination. These 'epigenetic clocks' present a less invasive alternative and can provide age estimates with unprecedented accuracy. Here, we present a species-specific epigenetic clock based on skin tissue samples for a population of Indo-Pacific bottlenose dolphins (

Indexed as

agingbottlenose dolphinepigenetic clock

Identifiers

PMID36699128
PMCPMC9850008
OpenAlexW4313272646

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.