Evidence map›Paper›PMID 40092283›Full record

ArticleFrontiers in aging2025

Multiplexing and massive parallel sequencing of targeted DNA methylation to predict chronological age.

Bowen Zhu, Dean Li, Guojing Han, Xue Yao, Hongqin Gu, Tao Liu, Linghua Liu, Jie Dai, Isabella Zhaotong Liu, Yanlin Liang and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Bowen Zhu *Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
Dean Li *Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
Guojing Han *Department of Vascular and Endovascular Surgery, Chang Zheng Hospital, Naval Medical University, Shanghai, China.
Xue YaoTechnology Department of Haidian Sub-Bureau, Beijing Public Security Bureau, Beijing, China.
Hongqin GuYouyi Road Community Health Service Centre for Baoshan District, Shanghai, China.
Tao LiuYouyi Road Community Health Service Centre for Baoshan District, Shanghai, China.
Linghua LiuYouyi Road Community Health Service Centre for Baoshan District, Shanghai, China.
Jie DaiYouyi Road Community Health Service Centre for Baoshan District, Shanghai, China.
Isabella Zhaotong LiuShanghai American School, Shanghai, China.
Yanlin LiangForensic Science Institute of Shanghai Public Security Bureau, Shanghai, China.
Jian ZhengInstitute of Criminal Science and Technology Shanghai Xuhui Public Security Sub-Bureau, Shanghai, China.
Zheming SunThird Research Institute of Ministry of Public Security, Shanghai, China.
He LinThird Research Institute of Ministry of Public Security, Shanghai, China.
Nan LiuInterdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
Haidong YuYouyi Road Community Health Service Centre for Baoshan District, Shanghai, China.
Meifang ShiYouyi Road Community Health Service Centre for Baoshan District, Shanghai, China.
Gaofang ShenInstitute of Criminal Science and Technology of Criminal Police Detachment, Yangzhou Public Security Bureau, Yangzhou, Jiangsu, China.
Zhaohui HuDepartment of Cardiovascular Diseases, Shanghai Punan Hospital of Pudong New District, Shanghai, China.
Lefeng QuDepartment of Vascular and Endovascular Surgery, Chang Zheng Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation of chronological age is particularly informative in forensic contexts. Assessment of DNA methylation status allows for the prediction of age, though the accuracy may vary across models. In this study, we started with a carefully designed discovery cohort with more elderly subjects than other age categories, to diminish the effect of epigenetic drifting. We applied multiplexing and massive parallel sequencing of targeted DNA methylation, which let us to construct a model comprising 25 CpG sites with substantially improved accuracy (MAE = 2.279, R = 0.920). This model is further validated by an independent cohort (MAE = 2.204, 82.7% success (±5 years)). Remarkably, in a multi-center test using trace blood samples from forensic caseworks, the correct predictions (±5 years) are 91.7%. The nature of our analytical pipeline can easily be scaled up with low cost. Taken together, we propose a new age-prediction model featuring accuracy, sensitivity, high-throughput, and low cost. This model can be readily applied in both classic and newly emergent forensic contexts that require age estimation.

Indexed as

age-prediction modelDNA methylationmassive parallel sequencingmultiplexingtargeted region

Identifiers

PMID40092283
PMCPMC11906720

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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.