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Easykin: a flexible and user-friendly online tool for forensic kinship testing and missing person identification.
- Source :
-
International Journal of Legal Medicine . Nov2023, Vol. 137 Issue 6, p1671-1681. 11p. - Publication Year :
- 2023
-
Abstract
- In forensic kinship testing and missing person identification, it is a fundamental question to choose the most informative reference relatives, select appropriate genotyping systems, and evaluate the weight of evidence comprehensively. Despite that several useful tools have been developed, they have not addressed these questions satisfactorily. In this paper, we develop a flexible and user-friendly online tool, Easykin, to address the aforementioned issues. It has some promising features: (i) Pedigrees can be constructed easily and presented intuitively with just a few mouse clicks. (ii) System power can be estimated before testing based on certain set of markers and reference relatives. (iii) The pruning function of EasyKin enables users to choose appropriate subsets of available references. (iv) Parameters at a specific LR for a single case may ease evidence interpretation. (v) The user interface (UI) is an HTML-based dashboard, which is friendly to both professional and non-professional users and can be used anytime and anywhere. Here, we presented three common cases as examples to demonstrate how kinship testing and missing person identification can be improved with EasyKin. In conclusion, this tool provides a one-stop solution for forensic use, that is, instructing users to choose appropriate kits and reference relatives before testing, calculating LR in the testing, and providing parameters for data interpretation after testing. EasyKin is freely available at https://forensicsysu.shinyapps.io/EasyKin/. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MISSING persons
*KINSHIP
*USER interfaces
Subjects
Details
- Language :
- English
- ISSN :
- 09379827
- Volume :
- 137
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- International Journal of Legal Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 172916771
- Full Text :
- https://doi.org/10.1007/s00414-023-03083-1