Use of DNA profiles for investigation using a simulated national DNA database: Part I. Partial SGM Plus profiles.

Details

Serval ID
serval:BIB_0394137AE2BF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Use of DNA profiles for investigation using a simulated national DNA database: Part I. Partial SGM Plus profiles.
Journal
Forensic Science International. Genetics
Author(s)
Hicks T., Taroni F., Curran J., Buckleton J., Ribaux O., Castella V.
ISSN
1878-0326 (Electronic)
ISSN-L
1872-4973
Publication state
Published
Issued date
2010
Peer-reviewed
Oui
Volume
4
Number
4
Pages
232-238
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
In traditional criminal investigation, uncertainties are often dealt with using a combination of common sense, practical considerations and experience, but rarely with tailored statistical models. For example, in some countries, in order to search for a given profile in the national DNA database, it must have allelic information for six or more of the ten SGM Plus loci for a simple trace. If the profile does not have this amount of information then it cannot be searched in the national DNA database (NDNAD). This requirement (of a result at six or more loci) is not based on a statistical approach, but rather on the feeling that six or more would be sufficient. A statistical approach, however, could be more rigorous and objective and would take into consideration factors such as the probability of adventitious matches relative to the actual database size and/or investigator's requirements in a sensible way. Therefore, this research was undertaken to establish scientific foundations pertaining to the use of partial SGM Plus loci profiles (or similar) for investigation.
Keywords
DNA Fingerprinting, Databases, Nucleic Acid, Humans, Likelihood Functions, Polymerase Chain Reaction
Pubmed
Web of science
Create date
11/06/2010 15:49
Last modification date
20/08/2019 12:25
Usage data