Inter-sample contamination detection using mixture deconvolution comparison

dc.contributor.authorTaylor, Duncan Aen_US
dc.contributor.authorRowe, Emilyen_US
dc.contributor.authorKruijver, Maartenen_US
dc.contributor.authorAbarno, Damienen_US
dc.contributor.authorBright, Jo-Anneen_US
dc.contributor.authorBuckleton, John Sen_US
dc.date.accessioned2019-04-26T06:21:35Z
dc.date.available2019-04-26T06:21:35Z
dc.date.issued2019-02-26
dc.description© 2019 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license: http://creativecommons.org/licenses/by-nc-nd/4.0/ This author accepted manuscript is made available following 12 month embargo from date of publication (February 2019) in accordance with the publisher’s archiving policyen_US
dc.description.abstractA recent publication has provided the ability to compare two mixed DNA profiles and consider their probability of occurrence if they do, compared to if they do not, have a common contributor. This ability has applications to both quality assurance (to test for sample to sample contamination) and for intelligence gathering purposes (did the same unknown offender donate DNA to multiple samples). We use a mixture to mixture comparison tool to investigate the prevalence of sample to sample contamination that could occur from two laboratory mechanisms, one during DNA extraction and one during electrophoresis. By carrying out pairwise comparisons of all samples (deconvoluted using probabilistic genotyping software STRmix™) within extraction or run batches we identify any potential common DNA donors and investigate these with respect to their risk of contamination from the two proposed mechanisms. While not identifying any contamination, we inadvertently find a potential intelligence link between samples, showing the use of a mixture to mixture comparison tool for investigative purposes.en_US
dc.identifier.citationTaylor, D., Rowe, E., Kruijver, M., Abarno, D., Bright, J.-A., & Buckleton, J. (2019). Inter-sample contamination detection using mixture deconvolution comparison. Forensic Science International: Genetics, 40, 160–167. https://doi.org/10.1016/j.fsigen.2019.02.021en_US
dc.identifier.doihttps://doi.org/10.1016/j.fsigen.2019.02.021en_US
dc.identifier.issn1872-4973
dc.identifier.urihttp://hdl.handle.net/2328/39167
dc.language.isoenen_US
dc.oaire.license.condition.licenseCC-BY-NC-ND
dc.publisherElsevieren_US
dc.rights© 2019 Elsevier B.V.en_US
dc.rights.holderElsevier B.V.en_US
dc.subjectContaminationen_US
dc.subjectExtraction batchen_US
dc.subjectDeconvolutionen_US
dc.subjectMixture comparisonen_US
dc.titleInter-sample contamination detection using mixture deconvolution comparisonen_US
dc.typeArticleen_US
local.contributor.authorOrcidLookupTaylor, Duncan A: https://orcid.org/0000-0003-0633-7424en_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Taylor_Pearson-Dennett_AM2019.pdf
Size:
1.68 MB
Format:
Adobe Portable Document Format
Description:
Author version
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.84 KB
Format:
Item-specific license agreed upon to submission
Description: