Evidence map›Paper›PMID 42368478›Full record

ArticleThe annals of applied statistics2026

BRIDGING THE GAP: ENHANCING THE GENERALIZABILITY OF EPIGENETIC CLOCKS THROUGH TRANSFER LEARNING.

Lan Luo, Lulu Shang, Jaclyn M Goodrich, Karen E Peterson, Peter X K Song

Abstract read
In one paragraph

Article in The annals of applied statistics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

5 authors.

Lan LuoDepartment Biostatistics and Epidemiology, Rutgers University.
Lulu ShangDepartment of Biostatistics, University of Texas MD Anderson Cancer Center.
Jaclyn M GoodrichDepartment of Environmental Health Sciences, University of Michigan.
Karen E PetersonDepartment of Nutritional Sciences, University of Michigan.
Peter X K SongDepartment of Biostatistics, University of Michigan.

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D., PADMANABHAN, VASANTHA · 2013 to 2018
$3.9M
E3Gen: Multigenerational Influences of Social Structure on Toxicant Exposures and Life Course Health in the ELEMENT CohortU24ES028502 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, KAREN EILEEN, SONG, PETER XUEKUN · 2023 to 2025
$1.0M
Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methodsR01AG092615 · NIA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Lan Luo · 2026 to 2026
$527k
Transfer learning and uncertainty quantification in epigenetic clocksR21AG083364 · NIA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI LUO, LAN · 2023 to 2024
$328k
NIA NIH HHS R01 AG092615NIA NIH HHS R21 AG083364NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P30 ES017885NIEHS NIH HHS U24 ES028502
6 · The paper itself

Abstract

Changes in DNA methylation patterns exhibit a high correlation with chronological age. Epigenetic clocks, developed through statistical models that estimate epigenetic age using the methylation levels of cytosine-guanine dinucleotide (CpG) sites, have emerged as powerful tools for understanding aging and age-related diseases. Despite their popularity, the generalizability of these clocks across diverse populations remains a challenge. Some of the widely used epigenetic clocks, such as Horvath's clock (

Indexed as

epigenetic age accelerationepigenetic clocksplatform heterogeneitypopulation heterogeneityTransfer learning

Identifiers

PMID42368478
PMCPMC13299310

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.