Evidence map›Paper›PMID 29968770›Full record

ArticleScientific reports2018

Estimation of chimpanzee age based on DNA methylation.

Hideyuki Ito, Toshifumi Udono, Satoshi Hirata, Miho Inoue-Murayama

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 56 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Approaching the mystery of aging by the epigenetic clock.Primates; journal of primatology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Behavioral Welfare Research for the Management of Sanctuary Chimpanzees (Animals : an open access journal from MDPI · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Epigenetic age prediction.Aging cell · 2021 · on this map
    Review
  17. Ageing European lobsters (Evolutionary applications · 2021
    Article
  18. Article
  19. Article
  20. Age-associated epigenetic change in chimpanzees and humans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    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

4 authors at 1 institution in 1 country.

Hideyuki ItoWildlife Research Center, Kyoto University, Kyoto, Japan.ORCID 0000-0002-3502-0074
Toshifumi UdonoWildlife Research Center, Kyoto University, Kyoto, Japan.
Satoshi HirataWildlife Research Center, Kyoto University, Kyoto, Japan.
Miho Inoue-MurayamaWildlife Research Center, Kyoto University, Kyoto, Japan. mmurayama@wrc.kyoto-u.ac.jp.
Kyoto University · JP

Funding

Japan Society for the Promotion of Science (JSPS) 15H05709Japan Society for the Promotion of Science (JSPS) 16H06283Japan Society for the Promotion of Science (JSPS) 17K19426Japan Society for the Promotion of Science (JSPS) 26245069Japan Society for the Promotion of Science (JSPS) LGP-U04
6 · The paper itself

Abstract

In wild animal conservation, knowing the age of an individual animal is extremely beneficial. However, estimating the age is difficult for many species. Recently, epigenetics-based methods of estimating age have been reported. These studies were predominantly on humans with few reports on other animals, especially wild animals. In the present study, a chimpanzee (Pan troglodytes) age prediction model was developed based on the ELOVL2, CCDC102B, and ZNF423 genes that may also have application in human age prediction. Pyrosequencing was used to measure methylation in 20 chimpanzee blood samples and correlation between age and methylation status was calculated. Age and methylation of sites in ELOVL2 and CCDC102B were significantly correlated and an age prediction model was created using these genes. In the regression equation using only ELOVL2, the highest correlation coefficient was 0.741, with a mean absolute deviation (MAD) of 5.41, compared with the combination of ELOVL2 and CCDC102B, where the highest correlation coefficient was 0.742 and the MAD was 5.41. Although larger MADs were observed in chimpanzees than in humans based on these genes, the results indicate the feasibility of estimating chimpanzee age using DNA methylation, and can have implications in understanding the ecology of chimpanzees and chimpanzee conservation.

Indexed as

Age FactorsAnimalsCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomicsForecastingForensic GeneticsPan troglodytesSequence Analysis, DNA

Identifiers

PMID29968770
PMCPMC6030051
OpenAlexW2811157587

What OpenQuestion holds

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Registered trials

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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.