Evidence map›Paper›PMID 40038157›Full record

ArticleGeroScience2025

Rationale and design of the Dog Aging Project precision cohort: a multi-omic resource for longitudinal research in geroscience.

Jena Prescott, Amber J Keyser, Paul Litwin, Matthew D Dunbar, Robyn McClelland, Audrey Ruple, Holley Ernst, Brianna L Butler, Mandy Kauffman, Anne Avery and 13 more

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Dogs and humans share biomarkers of mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

23 authors.

Jena PrescottDepartment of Small Animal Clinical Sciences, Texas a&M University, College Station, TX, USA.ORCID 0009-0002-6147-662X
Amber J KeyserCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.ORCID 0009-0003-4202-1352
Paul LitwinCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.
Matthew D DunbarCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.ORCID 0000-0002-9145-7043
Robyn McClellandBiostatistics and Collaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA.ORCID 0000-0002-2433-1512
Audrey RupleDepartment of Population Health Science, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-5223-0217
Holley ErnstDepartment of Small Animal Clinical Sciences, Texas a&M University, College Station, TX, USA.
Brianna L ButlerDepartment of Small Animal Clinical Sciences, Texas a&M University, College Station, TX, USA.ORCID 0009-0000-4025-6607
Mandy KauffmanCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA.
Anne AveryCollege of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Benjamin R HarrisonDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Maria Partida-AguilarDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Brianah M McCoySchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0003-1988-3248
Elizabeth SlikasSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Ashlee K GreenierSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Efrat MullerThe Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel.
Yadid M AlgaviFaculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Tal BambergerFaculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Kate E CreevyDepartment of Small Animal Clinical Sciences, Texas a&M University, College Station, TX, USA.ORCID 0000-0003-4169-374X
DAP Consortium
Elhanan BorensteinBlavatnik School of Computer Science and Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-3002-0945
Noah Snyder-MacklerSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0003-3026-6160
Daniel E L PromislowJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA. daniel.promislow@tufts.edu.ORCID 0000-0001-7088-4495

Funding

The Dog Aging Project: Genetic and Environmental Determinants of Healthy Aging in Companion Dogs Competitive RevisionU19AG057377 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2018 to 2023
$29.0M
NIA NIH HHS AG057377NIA NIH HHS U19 AG057377U.S. Department of Agriculture USDA/ARS 58-8050-9-004
6 · The paper itself

Abstract

A significant challenge in multi-omic geroscience research is the collection of high quality, fit-for-purpose biospecimens from a diverse and well-characterized study population with sufficient sample size to detect age-related changes in physiological biomarkers. The Dog Aging Project designed the precision cohort to study the mechanisms underlying age-related change in the metabolome, microbiome, and epigenome in companion dogs, an emerging model system for translational geroscience research. One thousand dog-owner pairs were recruited into cohort strata based on life stage, sex, size, and geography. We designed and built a novel implementation of the REDCap electronic data capture system to manage study participants, logistics, and biospecimen and survey data collection in a secure online platform. In collaboration with primary care veterinarians, we collected and processed blood, urine, fecal, and hair samples from 976 dogs. The resulting data include complete blood count, chemistry profile, immunophenotyping by flow cytometry, metabolite quantification, fecal microbiome characterization, epigenomic profile, urinalysis, and associated metadata characterizing sample conditions at collection and during lab processing. The project, which has already begun collecting second- and third-year samples from precision cohort dogs, demonstrates that scientifically useful biospecimens can be collected from a geographically dispersed population through collaboration with private veterinary clinics and downstream labs. The data collection infrastructure developed for the precision cohort can be leveraged for future studies. Most important, the Dog Aging Project is an open data project. We encourage researchers around the world to apply for data access and utilize this rich, constantly growing dataset in their own work.

Indexed as

AgingDogsGeroscienceMultiomicsAnimalsFemaleImmunophenotypingLife ExpectancyLongitudinal StudiesMalePetsResearch DesignDogsEpigenomeFlow cytometryLongitudinalMetabolomeMicrobiomeMolecular epidemiologySystems biology

Identifiers

PMID40038157
PMCPMC12397037

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.