Allelic Drop-Out Probabilities Estimated by Logistic Regression - Further Considerations and Practical Implementation

• NCJ Number: 240631
• Journal: Forensic Science International: Genetics Volume: 6 Issue: 2 Dated: March 2012 Pages: 263-267
• Author(s): Torben Tvedebrink; Poul Svante Eriksen; Maria Asplund; Helle Smidt Mogensen; Niels Morling
• Date Published: March 2012
• Length: 5 pages
• Publication Format: Article
• Publication Type: Issue Overview
• Language: English
• Country: Ireland

Annotation

This paper discusses the model for estimating drop-out probabilities presented by Tvedebrink et al. and the concerns that have been raised.

Abstract

The authors of this study discuss the model for estimating drop-out probabilities presented by Tvedebrink et al. and the concerns that have been raised. The criticism of the model has demonstrated that the model is not perfect. However, the model is very useful for advanced forensic genetic work, where allelic drop-out is occurring. With this discussion, the authors hope to improve the drop-out model, so that it can be used for practical forensic genetics and stimulate further discussions. The authors discuss how to estimate drop-out probabilities when using a varying number of PCR cycles and other experimental conditions. (Published Abstract)