Evidence map›Paper›PMID 39543924›Full record

ArticleAging cell2025

Trends of genetic contributions on epigenetic clocks and related methylation sites with aging: A population-based adult twin study.

Xuanming Hong, Hui Cao, Weihua Cao, Jun Lv, Canqing Yu, Tao Huang, Dianjianyi Sun, Chunxiao Liao, Yuanjie Pang, Runhua Hu and 8 more

Abstract readTwin Study
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

18 authors.

Xuanming HongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-3044-6746
Hui CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Weihua CaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Tao HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID 0000-0002-0328-1368
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Chunxiao LiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuanjie PangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Runhua HuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Ruqin GaoQingdao Center for Disease Control and Prevention, Qingdao, China.
Min YuZhejiang Center for Disease Control and Prevention, Hangzhou, China.
Jinyi ZhouJiangsu Center for Disease Control and Prevention, Nanjing, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu, China.
Yu LiuHeilongjiang Center for Disease Control and Prevention, Harbin, China.
Shengli YinDezhou Center for Disease Control and Prevention, Dezhou, China.
Wenjing GaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

National Key Research and Development Program of China 2023YFC2705900National Natural Science Foundation of China 82073633National Natural Science Foundation of China 82373659Peking University Outstanding Discipline Construction Project of Epidemiology and BiostatisticsSpecial Fund for Health Scientific Research in Public Welfare 201002007Special Fund for Health Scientific Research in Public Welfare 201502006
6 · The paper itself

Abstract

Several crucial acceleration periods exist during aging process. Epigenetic clocks, serving as indicators of aging, are influenced by genetic factors. Investigating how the genetic contributions on these clocks change with age may provide novel insights into the aging process. In this study, based on 1084 adult twins from the Chinese National Twin Registry (CNTR), we established structural equation models (SEMs) to evaluate the trends in genetic influence with aging for epigenetic clocks, which include PC-Horvath, PC-Hannum, PC-PhenoAge, PC-GrimAge, and DunedinPACE. A decline in overall heritability was observed for all five clocks from ages 31 to 70, with a relatively stable trend at first. Subsequently, apart from PC-GrimAge, the other four clocks displayed a more evident drop in heritability: DunedinPACE and PC-PhenoAge experienced a clear decline between 55 and 65 years, while PC-Horvath and PC-Hannum showed a similar decrease between 60 and 70 years. In contrast, the heritability of PC-GrimAge remained stable throughout. An analysis of methylation sites (CpGs) from these clocks identified 41, 26, 4, and 36 CpG sites potentially underlying heritability changes in DunedinPACE, PC-Horvath, PC-Hannum, and PC-PhenoAge, respectively. Data from the CNTR were collected through two surveys in 2013 and 2018. Based on 308 twins with longitudinal data, declines in genetic components were observed at follow-up compared to baseline, with significant decreases in the four PC-clocks. DunedinPACE peaked in 5-year longitudinal genetic contribution changes at age 55-60, while PC-clocks consistently peaked at age 50-55. These findings may offer novel insights into the role of genetic variations in aging.

Indexed as

AgingDNA MethylationEpigenesis, GeneticAdultAgedFemaleHumansMaleMiddle Agedagingepigenetic clocklongitudinal studiestwin study

Identifiers

PMID39543924
PMCPMC11896513

What Socratic 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 Socratic graph.