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Autosomal STR Markers for Forensic Genetics: Applications, Challenges, and Future Directions
1Institute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Korytkova 2, 1000 Ljubljana, Slovenia.
Massively parallel sequencing (MPS) advances forensic genetics by enabling detailed analysis of short tandem repeat (STR) markers. This technology enhances individualization and kinship verification, offering powerful new tools for complex cases.
Area of Science:
- Forensic genetics
- Molecular biology
- Genomic analysis
Background:
- Short tandem repeat (STR) markers are crucial for forensic individualization and kinship verification.
- Traditional length-based capillary electrophoresis (CE) is transitioning to sequence-level analysis via massively parallel sequencing (MPS).
- MPS offers enhanced discriminatory power through detection of internal sequence variants and flanking polymorphisms.
Purpose of the Study:
- To review the molecular mechanisms of STR variability.
- To critically evaluate the shift from CE to MPS in forensic genetics.
- To address analytical challenges and discuss applications in forensic casework.
Main Methods:
- Literature review synthesizing molecular mechanisms of STR variability.
- Critical evaluation of sequencing-based STR analysis.
- Discussion of analytical challenges and forensic applications.
Main Results:
- MPS significantly increases the discriminatory power of STR analysis.
- Challenges include stochastic effects with low-template DNA and PCR inhibition in degraded samples.
- Hierarchical strategies, including mini-STR and MPS, aid in identifying fragmented DNA from mass graves and historical contexts.
Conclusions:
- MPS represents a significant advancement in forensic STR analysis, offering high-resolution capabilities.
- Probabilistic genotyping (PG) evolution emphasizes algorithmic transparency and reproducibility for judicial use.
- Implementing high-resolution STR analysis requires integrating technological advances with practical forensic challenges and considering regional infrastructures.
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