Evidence map›Paper›PMID 41708547›Full record

ArticleInternational journal of legal medicine2026

Pitfalls in body fluid identification - age independent DNA methylation markers for vaginal secretions and menstrual blood in sexual assaults.

Helen Konrad, Leandra Jürgens, Paula Hiekel, Sophie Fertyk, Daniela Wübbe, Benno Hartung, Micaela Poetsch

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Helen KonradInstitute of Legal Medicine, University Hospital Essen, Essen, Germany. helen.konrad@uk-essen.de.ORCID http://orcid.org/0009-0002-3171-6514
Leandra JürgensInstitute of Legal Medicine, University Hospital Essen, Essen, Germany.
Paula HiekelInstitute of Legal Medicine, University Hospital Essen, Essen, Germany.
Sophie FertykInstitute of Legal Medicine, University Hospital Essen, Essen, Germany.
Daniela WübbeMedical specialist in gynecology and obstetrics Dr. med. C. Beckemeier, Dr. med. F. Broer-Boos & Dr. med. D. Wübbe, Oer-Erkenschwick, Germany.
Benno HartungInstitute of Legal Medicine, University Hospital Essen, Essen, Germany.
Micaela PoetschInstitute of Legal Medicine, University Hospital Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, determination of cellular origin of DNA has been acknowledged as an important tool in forensic genetics. It complements identification of the DNA donor by STR analysis, since it could provide further information about the origin of DNA found at a crime scene. A workflow (body fluid identification (BFI) workflow) developed in 2023 for determination of seven different body fluids in forensic genetic casework by DNA methylation analysis has been very helpful in context with sexual assaults, especially rapes. The verification of vaginal secretions and/or menstrual blood, for which no (or no reliable) preliminary tests or rapid tests are available, can be decisive in these cases. During case work, it was hypothesized that the methylation pattern of vaginal secretions cannot be assumed to be universal but rather might depend on the female’s hormonal status or age. Validation studies have confirmed this assumption. Both, vaginal secretions from young girls before sexual maturity and from women who have already reached menopause showed a deviation from the established and validated DNA methylation percentages of the BFI workflow published in 2023. For this reason, additional vaginal marker V1(cg09765089) was established and validated in this study, so that in combination with marker V2 already published Konrad et al., (Int J Legal Med 137(6):1683–1692, 1) 99% of vaginal secretion samples could be identified, regardless of woman’s age or hormone status. Additionally, the new blood marker B6 (cg17518965) was integrated in the eBFI workflow (extended body fluid identification workflow), as the previous blood marker could not provide unambiguous identification of the target secretion in children in the context of sexual assaults. Overall, we have analyzed 453 samples in this study using bisulfite conversion and pyrosequencing. In summary, our revised eBFI workflow is a simple and useful tool for forensic analysis to identify vaginal secretions and/or menstrual blood in the context of sexual assaults, regardless of female’s hormonal status or age.

Indexed as

Body FluidsCervix MucusDNA MethylationMenstruationRapeSex OffensesVaginaAdolescentAdultAge FactorsDNA FingerprintingFemaleForensic GeneticsGenetic MarkersHumansMiddle AgedGenetic MarkersBody fluid identificationBody fluidsCrime scene investigationDNA methylationHormone statusMenopauseSexual assaultStain identificationVaginal secretion

Identifiers

PMID41708547
PMCPMC13161311

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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.