Genomics and forensic science are converging through SNP testing, enabling degraded DNA analysis, distant kinship inference, and scalable pipelines that solve cases beyond the reach of STR profiling.
To be accepted by medical examiners and crime labs, SNP-based identification methods must support likelihood ratio–based relationship testing to align with established forensic kinship standards.
We present a validation of KinSNP® , demonstrating reliable performance across diverse populations, simulated pedigree data, and challenging conditions like missing or incorrect genotypes.
We have developed a first-of-its-kind molecular forensic information system that can encode detailed sample information, improving workflow history, tracking, contamination detection, & authenticity verification.
Comparisons between anthropological and genomic ancestry assignments for UHRs reveals significant discordance, shedding light on the challenges in determining population affinity, particularly for admixed populations.
This paper illustrates measures that can be implemented to protect genomic data derived from reference testing of third-party individuals during a forensic genetic genealogy investigation.