liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Contamination monitoring in the forensic DNA laboratory and a simple graphical model for unbiased EPG classification
Linköping University, Department of Physics, Chemistry and Biology, Molecular genetics . Linköping University, The Institute of Technology.
Swedish National Laboratory of Forensic Science (SKL), Linköping, Sweden.
Swedish National Laboratory of Forensic Science (SKL), Linköping, Sweden.
Swedish National Laboratory of Forensic Science (SKL), Linköping, Sweden.
Show others and affiliations
2011 (English)In: Book of Abstracts, 2011, 199- p.Conference paper (Refereed)
Abstract [en]

In this work we present a procedure for contamination monitoring in a trace search and recovery area and agraphical classification model. The recent launch of more sensitive and robust amplification kits increases thepossibility to detect minute amounts of trace DNA. As a consequence this enhances our need to establish eliminationdatabases and demands for an increased awareness on how to avoid contamination. DNA contaminatingthe evidence somewhere along the forensic process has the potential to destroy the evidence or totally confuseand mislead the crime investigation. In the forensic laboratory specific areas are designated for different partsof the process: trace search and recovery, pre-PCR, post-PCR etc. Work procedures and cleaning routines areadapted to minimise the risk of contamination. Monitoring presence of DNA in the laboratory environment, onspecific surfaces or instruments of interest, is one way to assess these risks and will in addition increase ourknowledge on how to improve cleaning routines and behaviour in the lab. A monitoring process needs to someextent be standardised in order to become unbiased and independent on an individual level, regarding bothwhere and how samples are taken and how the results are classified. The graphical model constitutes a lineartransformation of a three-dimensional “credit system” based on alleles, markers and peak heights, into a twodimensional classification. The standardisation allows results to be compared over time, and if applied to otherwork-areas comparison between different parts of the process will be possible.

Place, publisher, year, edition, pages
2011. 199- p.
National Category
Natural Sciences
URN: urn:nbn:se:liu:diva-70272OAI: diva2:437706
24th World Congress of the International Society for Forensic Genetics 2011
Available from: 2011-08-30 Created: 2011-08-30 Last updated: 2011-09-05

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Ansell, Ricky
By organisation
Molecular genetics The Institute of Technology
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 59 hits
ReferencesLink to record
Permanent link

Direct link