ArticleScientific reports2021
Artificial neural network, predictor variables and sensitivity threshold for DNA methylation-based age prediction using blood samples.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Advancing Forensic Human Chronological Age Estimation: Biochemical, Genetic, and Epigenetic Approaches from the Last 15 Years: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- An ELOVL2-Based Epigenetic Clock for Forensic Age Prediction: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Common DNA sequence variation influences epigenetic aging in African populations.Communications biology · 2025Article
- ANN-based thermal analysis of 3D MHD hybrid nanofluid flow over a shrinking sheet via LMA.Scientific reports · 2025Article
- Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation.International journal of molecular sciences · 2024Review
- A multi-organization epigenetic age prediction based on a channel attention perceptron networks.Frontiers in genetics · 2024Article
- Longitudinal changes and variation in human DNA methylation analysed with the Illumina MethylationEPIC BeadChip assay and their implications on forensic age prediction.Scientific reports · 2023Article
- Prediction of chronological age and its applications in forensic casework: methods, current practices, and future perspectives.Forensic sciences research · 2023Review
- Article
- Surface and Structural Studies of Age-Related Changes in Dental Enamel: An Animal Model.Materials (Basel, Switzerland) · 2022Article
- Evidence for differences in DNA methylation between Germans and Japanese.International journal of legal medicine · 2022Article
- DNA Methylation Biomarkers-Based Human Age Prediction Using Machine Learning.Computational intelligence and neuroscience · 2022Article
- Association between urinary metals and leukocyte telomere length involving an artificial neural network prediction: Findings based on NHANES 1999-2002.Frontiers in public health · 2022Article
- From teeth to ethnicity: A neural network approach to predicting population of origin through dental traits and anomalies.Journal of oral and maxillofacial pathology : JOMFPArticle
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regression models are often used to predict age of an individual based on methylation patterns. Artificial neural network (ANN) however was recently shown to be more accurate for age prediction. Additionally, the impact of ethnicity and sex on our previous regression model have not been studied. Furthermore, there is currently no age prediction study investigating the lower limit of input DNA at the bisulfite treatment stage prior to pyrosequencing. Herein, we evaluated both regression and ANN models, and the impact of ethnicity and sex on age prediction for 333 local blood samples using three loci on the pyrosequencing platform. Subsequently, we trained a one locus-based ANN model to reduce the amount of DNA used. We demonstrated that the ANN model has a higher accuracy of age prediction than the regression model. Additionally, we showed that ethnicity did not affect age prediction among local Chinese, Malays and Indians. Although the predicted age of males were marginally overestimated, sex did not impact the accuracy of age prediction. Lastly, we present a one locus, dual CpG model using 25 ng of input DNA that is sufficient for forensic age prediction. In conclusion, the two ANN models validated would be useful for age prediction to provide forensic intelligence leads.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.