Calculation of the Weight of Evidence for Combined Single-Cell and Extracellular Forensic DNA

被引:0
作者
Lun, Desmond S. [1 ,2 ,3 ]
Grgicak, Catherine M. [2 ,4 ]
机构
[1] Rutgers State Univ, Dept Comp Sci, Camden, NJ 08102 USA
[2] Rutgers State Univ, Ctr Computat & Integrat Biol, Camden, NJ 08102 USA
[3] Rutgers State Univ, Dept Plant Biol, New Brunswick, NJ 08901 USA
[4] Rutgers State Univ, Dept Chem, Camden, NJ 08102 USA
关键词
Extracellular; DNA; Statistics; Sociology; Forensics; Clustering algorithms; Distributed databases; Biomedical signal processing; clustering algorithms; maximum a posteriori estimation; statistical analysis; CONTRIBUTORS; NUMBER; MIXTURES;
D O I
10.1109/TCBB.2024.3416877
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The weight of DNA evidence for forensic applications is typically assessed through the calculation of the likelihood ratio (LR). In the standard workflow, DNA is extracted from a collection of cells where the cells of an unknown number of donors are mixed. The DNA is then genotyped, and the LR is calculated through well-established methods. Recently, a method for calculating the LR from single-cell data has been presented. Rather than extracting the DNA while the cells are still mixed, single-cell data is procured by first isolating each cell. Extraction and fragment analysis of relevant forensic loci follows such that individual cells are genotyped. This workflow leads to significantly stronger weights of evidence, but it does not account for extracellular DNA that could also be present in the sample. In this paper, we present a method for calculation of an LR that combines single-cell and extracellular data. We demonstrate the calculation on example data and show that the combined LR can lead to stronger conclusions than would be obtained from calculating LRs on the single-cell and extracellular DNA separately.
引用
收藏
页码:2587 / 2591
页数:5
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