Database extraction strategies for low-template evidence

详细信息    查看全文

• 作者：脴yvind Bleka ; Guro D酶rum ; Hinda Haned ; Peter Gill
• 关键词：Database extraction ; Match score ; STR mixtures
• 刊名：Forensic Science International: Genetics
• 出版年：March, 2014
• 年：2014
• 卷：9
• 期：Complete
• 页码：134-141
• 全文大小：655 K

文摘

Often in forensic cases, the profile of at least one of the contributors to a DNA evidence sample is unknown and a database search is needed to discover possible perpetrators. In this article we consider two types of search strategies to extract suspects from a database using methods based on probability arguments. The performance of the proposed match scores is demonstrated by carrying out a study of each match score relative to the level of allele drop-out in the crime sample, simulating low-template DNA. The efficiency was measured by random man simulation and we compared the performance using the SGM Plus kit and the ESX 17 kit for the Norwegian population, demonstrating that the latter has greatly enhanced power to discover perpetrators of crime in large national DNA databases. The code for the database extraction strategies will be prepared for release in the R-package forensim.