Evidence map›Paper›PMID 41898792›Full record

ReviewGenes2026

Integrative Forensic Genetics, Biochemical, and Histological Methods for Reconstructing Biological Profiles from Aged Human Skeletal Remains.

Irena Zupanič Pajnič, Tamara Leskovar

Abstract readReview
In one paragraph

Review in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Irena Zupanič PajničInstitute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia.ORCID 0000-0002-6704-015X
Tamara LeskovarCentre for Interdisciplinary Research in Archaeology, Department of Archaeology, Faculty of Arts, University of Ljubljana, 1000 Ljubljana, Slovenia.ORCID 0000-0002-4585-4726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reconstruction of biological profiles from aged or degraded human skeletal remains represents a major challenge in both forensic and bioarcheological contexts, particularly when conventional identification approaches fail. Recent advances in molecular genetics, biochemical and histological analyses, and biomolecular anthropology have substantially expanded the range of information that can be recovered from compromised remains. This review synthesizes current integrative approaches combining genomic analyses, stable isotope investigations, epigenetic age estimation, proteomic sex determination, and complementary histological techniques to infer sex, ancestry, kinship, age, diet, mobility, and geographic origin. Genetic methods, including next-generation sequencing (NGS), enable increasingly robust inference even from highly degraded samples. Stable isotope analyses provide insights into dietary patterns and mobility, while DNA methylation markers improve age estimation accuracy. Tooth cementum annulation (TCA), although a histological rather than molecular method, contributes an additional chronological indicator within an integrative analytical framework. Rather than treating these approaches independently, this review proposes a multidisciplinary perspective in which complementary datasets collectively support biological profile reconstruction. Integrative interpretation enhances identification potential and provides more nuanced life-history reconstructions, demonstrating the value of combining molecular, biochemical, and histological evidence in forensic and archaeological investigations.

Indexed as

Body RemainsForensic GeneticsBone and BonesDental CementumDNA MethylationEpigenesis, GeneticHigh-Throughput Nucleotide SequencingHumansaged skeletal remainsbiological sexFIGG SNP genotypingforensic DNA intelligencehuman identificationmethylation-based age predictionmulti-isotope analysistooth cementum annulation

Identifiers

PMID41898792
PMCPMC13025455

What OpenQuestion holds

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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.