A comprehensive study of allele drop-in over an extended period of time. (September 2020)

• Record Type: Journal Article
• Authors: Moore, David; Clayton, Tim; Thomson, Jim
• Is Part Of: Forensic science international. Volume 48(2020)
• Publication Date: 2020-09
• Subjects: Contamination -- Drop-in -- DNA analysis; Forensic genetics -- Periodicals; Génétique légale -- Périodiques; Forensic genetics; Electronic journals; Periodicals; 614.1
• DOI: 10.1016/j.fsigen.2020.102332
• Languages: English
• ISSNs: 1872-4973

Abstract

Highlights: Data from 28, 842 negative control samples were reviewed for the presence of allele drop-in. Allele drop-in, may at times be associated with a genomic contamination event associated with a single individual. Experimental data were generated that produce drop-in like events from a single genomic source. Contamination manifesting as drop-in, identifiable to a single individual was identified in live case work negative controls. Abstract: Some probabilistic mixture programmes take into account the presence of additional alleles by utilising drop-in models [1–4]. Although the precise details of the various models vary, at their core, they all rely on two basic assumptions – (1) that drop-in events occur independently of each other and (2) the frequency of individual dropped-in alleles mirrors the composition within some specified population. In order to examine the robustness of these assumptions, we have collected data on allele drop-in and contamination events in 28, 842 negative control samples processed over a three year period in our DNA crime laboratory. These data were used to characterise drop-in events, and to identify trends in drop-in rates over time and between control types. In addition, we carried out an experiment using genomic DNA that had been highly diluted and demonstrate that, at these levels, drop-in events become indistinguishable from low level genomic contamination. Our results show that drop-in alleles are not necessarily independent random events. Moreover, a comparison between our data and UK frequency databases also suggests that the frequency of individual dropped-in alleles does not mirror the general population frequencies.