Evidence map›Paper›PMID 35502722›Full record

ArticleEpigenetics2022

The effects of age, sex, weight, and breed on canid methylomes.

Liudmilla Rubbi, Haoxuan Zhang, Junxi Feng, Christopher He, Patrick Kurnia, Prashansa Ratan, Aakash Tammana, Sabina House, Michael Thompson, Colin Farrell and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

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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

15 authors at 5 institutions in 2 countries.

Liudmilla RubbiMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Haoxuan ZhangMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Junxi FengMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Christopher HeMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Patrick KurniaMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Prashansa RatanMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Aakash TammanaMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Sabina HouseMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Michael ThompsonMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
Colin FarrellMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-3138-6108
Sagi SnirDepartment Evolutionary and Environmental Biology, University of Haifa, Israel.
Daniel StahlerYellowstone Center for Resources, Yellowstone National Park, Wyo, USA.
Elaine A OstranderNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, CA, USA.ORCID 0000-0001-6075-9738
Bridgett M vonHoldtDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Matteo PellegriniMolecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA, USA.
University of California, Los Angeles · USNational Institutes of Health · USPrinceton University · USUniversity of Haifa · ILYellowstone Ecological Research Center · US

Funding

Comparative Mammalian GenomicsZIAHG200377 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI OSTRANDER, ELAINE · 2012 to 2025
$24.8M
6 · The paper itself

Abstract

Unlike genomes, which are static throughout the lifespan of an organism, DNA methylomes are dynamic. To study these dynamics, we developed quantitative models that measure the effect of multiple factors on DNA methylomes including, age, sex, weight, and genetics. We conducted our study in canids, which prove to be an ideal species to assess epigenetic moderators due to their extreme variability in size and well-characterized genetic structure. We collected buccal swabs from 217 canids (207 domestic dogs and 10 grey wolves) and used targeted bisulphite sequencing to measure methylomes. We also measured genotypes at over one thousand single nucleotide polymorphisms (SNPs). As expected, we found that DNA methylomes are strongly associated with age, enabling the construction of epigenetic clocks. However, we also identify novel associations between methylomes and sex, weight, and sterilization status, leading to accurate models that predict these factors. Methylomes are also affected by genetics, and we observe multiple associations between SNP loci and methylated CpGs. Finally, we show that several factors moderate the relationship between epigenetic ages and real ages, such as body weight, which increases epigenetic ageing. In conclusion, we demonstrate that the plasticity of DNA methylomes is impacted by myriad genetics and physiological factors, and that DNA methylation biomarkers are accurate predictors of age, sex and sterilization status.

Indexed as

DNA MethylationEpigenomeAnimalsDogsEpigenesis, GeneticEpigenomicsGenotypeLongevitycanidsDNA methylationdogsepigenetic clock

Identifiers

PMID35502722
PMCPMC9586589
OpenAlexW4225399976

What OpenQuestion holds

Textmetadata
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.