دورية أكاديمية

Application of Forensic DNA Phenotyping for Prediction of Eye, Hair and Skin Colour in Highly Decomposed Bodies

التفاصيل البيبلوغرافية
العنوان: Application of Forensic DNA Phenotyping for Prediction of Eye, Hair and Skin Colour in Highly Decomposed Bodies
المؤلفون: Matteo Fabbri, Letizia Alfieri, Leila Mazdai, Paolo Frisoni, Rosa Maria Gaudio, Margherita Neri
المصدر: Healthcare, Vol 11, Iss 5, p 647 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Medicine
مصطلحات موضوعية: forensic DNA phenotyping, predictive DNA analysis, HIrisPlex-S, eye colour, skin colour, hair colour, Medicine
الوصف: In the last few years, predicting externally visible characteristics (EVCs) by adopting informative DNA molecular markers has become a method in forensic genetics that has increased its value, giving rise to an interesting field called “Forensic DNA Phenotyping” (FDP). The most meaningful forensic applications of EVCs prediction are those in which, having only a DNA sample isolated from highly decomposed remains, it is essential to reconstruct the physical appearance of a person. Through this approach, we set out to evaluate 20 skeletal remains of Italian provenance in order to associate them with as many cases of missing persons as possible. To achieve the intended goal, in this work we applied the HIrisPlex-S multiplex system through the conventional short tandem repeats (STR) method to confirm the expected identity of subjects by evaluating phenotypic features. To investigate the reliability and accuracy of the DNA-based EVCs prediction, pictures of the cases were compared as they were available to researchers. Results showed an overall prediction accuracy greater than 90% for all three phenotypic features—iris, hair, and skin colour—at a probability threshold of 0.7. The experimental analysis showed inconclusive results in only two cases; this is probably due to the characteristics of subjects who had an intermediate eye and hair colour, for which the DNA-based system needs to improve the prediction accuracy.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2227-9032
Relation: https://www.mdpi.com/2227-9032/11/5/647; https://doaj.org/toc/2227-9032
DOI: 10.3390/healthcare11050647
URL الوصول: https://doaj.org/article/bae65cad100043d0a2ba0be8feb4eef2
رقم الأكسشن: edsdoj.bae65cad100043d0a2ba0be8feb4eef2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22279032
DOI:10.3390/healthcare11050647