Collaborative Exercise: Analysis of Age Estimation Using a QIAGEN Protocol and the PyroMark Q48 Platform
Overview
Overview
Journal
Forensic Sci Res
Publisher
Oxford University Press
Specialty
Forensic Sciences
Date
2024 Apr 3
PMID
38567377
Authors
Authors
Affiliations
Affiliations
Soon will be listed here.
Abstract
Key Points: Age determination as an intelligence tool during investigations can be a powerful tool in forensic genetics.In this study, five laboratories ran 49 samples and obtained a mean absolute deviation of 3.62 years.Five markers were analyzed on a PyroMark Q48 platform.
Citing Articles
DNA Methylation of Is Associated with Early-Life Adversity in Adult Mental Disorders.
Edelmann S, Balaji J, Pasche S, Wiegand A, Nieratschker V Biomolecules. 2024; 14(8).
PMID: 39199364 PMC: 11353138. DOI: 10.3390/biom14080976.
References
1.
Dias H, Cordeiro C, Pereira J, Pinto C, Corte Real F, Cunha E
. DNA methylation age estimation in blood samples of living and deceased individuals using a multiplex SNaPshot assay. Forensic Sci Int. 2020; 311:110267.
DOI: 10.1016/j.forsciint.2020.110267.
View
2.
Zbiec-Piekarska R, Spolnicka M, Kupiec T, Parys-Proszek A, Makowska Z, Paleczka A
. Development of a forensically useful age prediction method based on DNA methylation analysis. Forensic Sci Int Genet. 2015; 17:173-179.
DOI: 10.1016/j.fsigen.2015.05.001.
View
3.
Hermetet C, Saint-Martin P, Gambier A, Ribier L, Sautenet B, Rerolle C
. Forensic age estimation using computed tomography of the medial clavicular epiphysis: a systematic review. Int J Legal Med. 2018; 132(5):1415-1425.
DOI: 10.1007/s00414-018-1847-z.
View
4.
Frommer M, McDonald L, Millar D, Collis C, Watt F, GRIGG G
. A genomic sequencing protocol that yields a positive display of 5-methylcytosine residues in individual DNA strands. Proc Natl Acad Sci U S A. 1992; 89(5):1827-31.
PMC: 48546.
DOI: 10.1073/pnas.89.5.1827.
View
5.
Valsecchi A, Irurita Olivares J, Mesejo P
. Age estimation in forensic anthropology: methodological considerations about the validation studies of prediction models. Int J Legal Med. 2019; 133(6):1915-1924.
DOI: 10.1007/s00414-019-02064-7.
View