Evidence map›Paper›PMID 41116011›Full record

ArticleInternational journal of legal medicine2026

Linking STRs/SNPs and DNA methylation using massively parallel sequencing for potential forensic applications.

Laura Schmelzer, Jerry Hoogenboom, Jana Naue

Abstract read
In one paragraph

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. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Laura SchmelzerInstitute of Forensic Medicine, Medical Center - University of Freiburg, Medical Faculty - University of Freiburg, Freiburg, Germany.ORCID https://orcid.org/0009-0009-0075-0702
Jerry HoogenboomDivision of Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands.
Jana NaueInstitute of Forensic Medicine, Medical Center - University of Freiburg, Medical Faculty - University of Freiburg, Freiburg, Germany. jana.naue@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0001-9471-9013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is an important target for crime trace analysis. Amongst others, the combined analysis of tissue-specific differentially methylated DNA positions (tDMP) and person-identifying single nucleotide polymorphisms (iSNP) has demonstrated potential to link known mixture contributors to their respective body fluid. As STRs are the gold standard for individualization, we aimed to implement a pipeline to perform STR analysis of bisulfite converted DNA and to characterize DNA methylation sites in their close proximity, potentially identifying body fluid-varying methylation. We analyzed forensically used STR regions in blood, semen, saliva, buccal mucosa, nasal secretion, menstrual blood and vaginal fluid using amplicon-based bisulfite massively parallel sequencing. Furthermore, we evaluated the DNA methylation of eight known tDMPs for blood, semen, saliva and vaginal fluid and ten surrounding iSNPs. Successful STR analysis and allele structure reporting from bisulfite converted DNA was possible for 18 of 22 STRs. We identified D1S1677, FGA, D5S2800, SE33, D8S1179 and D19S433 flanking sites with varying DNA methylation between body fluids, but not sufficient discrimination power for use as exclusive body fluid identification markers. A first exemplary experiment showed STR potential for assignment of the corresponding contributor in mixtures, most promising for specific mixture cases including semen and second pre-determined body fluid. We confirmed known tDMPs and linked iSNPs as valuable targets for contributor assignment in mixtures. FDSTools was used with a newly generated library file for the naming of STRs in bisulfite converted DNA and allele-linked DNAm analysis usable and editable even for other research questions and applications.

Indexed as

DNA FingerprintingDNA MethylationHigh-Throughput Nucleotide SequencingMicrosatellite RepeatsPolymorphism, Single NucleotideCervix MucusFemaleForensic GeneticsHumansMaleMouth MucosaSalivaSemenSequence Analysis, DNADNA methylationFDSToolsMassively parallel sequencingSTR analysis

Identifiers

PMID41116011
PMCPMC12956943

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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.