Call rate is an indicator of data quality for microarrays but doesn't mean much for DNA sequencing, and since microarrays are wrong for forensics samples, we need to move past call rates and agree on better quality metrics.
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.
Degradation index is useful for STR typing but irrelevant for SNP testing, especially with modern DNA sequencing, since SNPs can be measured from much shorter DNA fragments than STRs.
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.