Q scores are an important measure of DNA sequencing accuracy, but in forensic genetic genealogy, sequencing depth and other metrics are more critical for accurately detecting SNPs and building ultra-sensitive DNA profiles.
Automatic clustering can organize DNA matches into related groups, helping investigators focus on key connections, exclude irrelevant matches, and efficiently resolve complex forensic genetic genealogy cases.
The “Shared Matches” view and “In-Line Biogeographical Ancestry” view are two new features that help investigators quickly identify relevant DNA connections and geographic origins, streamlining the process of resolving forensic cases.
Othram’s Multi-Dimensional Forensic Intelligence (MDFI) platform revolutionizes forensic genetic genealogy by integrating ultra-sensitive DNA profiles with optimized forensic search, offering unmatched accuracy and efficiency in solving cases.
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.
Despite advances in forensic DNA testing, too many murder cases and unidentified bodies remain unsolved. Private firms lead in innovation, but legacy gatekeepers’ reluctance to collaborate hinders progress. Embracing private sector technology will transform forensic science and help deliver justice.