A novel computational strategy to predict the value of the evidence in the SNP-based forensic mixtures.

ABSTRACT: This study introduces a methodology for inferring the weight of the evidence (WoE) in the single nucleotide polymorphism (SNP)-typed DNA mixtures of forensic interest. First, we redefined some algebraic formulae to approach the semi-continuous calculation of likelihoods and likelihood ratios (LRs). To address the allelic dropouts, a peak height ratio index ("h," an index of heterozygous state plausibility) was incorporated into semi-continuous formulae to act as a proxy for the "split-drop" model of calculation. Second, the original ratio at which a person of interest (POI) has entered into the mixture was inferred by evaluating the DNA amounts conferred by unique genotypes to any possible permutation of any locus of the typing protocol (unique genotypes are genotypes that appear just once

SUBMITTER: Pascali VL 

PROVIDER: S-EPMC8519470 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature