Evidence map›Paper›PMID 41834177›Full record

ArticleJournal of forensic sciences2026

DNA methylation and epigenomic profiling post-mortem of human remain analogs (Sus scrofa) in southern Ontario, Canada.

Irina Badell, Lesley Hewett, Theresa Stotesbury, Shari Forbes, Aaron B A Shafer

Abstract read
In one paragraph

Article in Journal of forensic sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Irina BadellEnvironmental and Life Sciences Department, Trent University, Peterborough, Ontario, Canada.
Lesley HewettEnvironmental and Life Sciences Department, Trent University, Peterborough, Ontario, Canada.
Theresa StotesburyFaculty of Science, Forensic Science, Ontario Tech University, Oshawa, Ontario, Canada.
Shari ForbesDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, Ontario, Canada.
Aaron B A ShaferEnvironmental and Life Sciences Department, Trent University, Peterborough, Ontario, Canada.ORCID https://orcid.org/0000-0001-7652-225X

Funding

Natural Sciences and Engineering Research Council of Canada DH-2022-00198
6 · The paper itself

Abstract

Understanding the dynamics of DNA methylation (DNAm) post-mortem could support forensic applications, particularly the estimation of the post-mortem interval (PMI), age, and sex of remains. In this study, we investigated DNAm changes in pig carcasses (Sus scrofa) as analogs for human decomposition, while measuring the progression of decay. Genome-wide methylation arrays and ELISA assays were run on pig soft tissues collected post-mortem, alongside assessments of DNA integrity. Overall, DNA integrity and DNAm levels declined throughout the post-mortem period, with distinct seasonal differences. We established thresholds for estimating age and sex, referred to as epigenomic profiling, showing that key epigenetic markers retain predictive value post-mortem. Additionally, CpG sites that mapped to the Sus scrofa genome were selected to develop an ElasticNet model that integrated DNAm to estimate the PMI, highlighting the potential of DNAm as an investigative tool. In conclusion, this study is the first to demonstrate the utility of DNAm and epigenomic profiling in extended PMIs, and the first successful attempt to estimate both age and sex post-mortem from DNAm alone.

Indexed as

DNA MethylationEpigenomicsPostmortem ChangesAnimalsCpG IslandsEnzyme-Linked Immunosorbent AssayFemaleHumansMaleModels, AnimalOntarioSeasonsSus scrofaSwinedecompositionDfb climateforensic epigeneticsforensic taphonomypigPMI estimation

Identifiers

PMID41834177
PMCPMC13139787

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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.