The influence of relatives on the efficiency and error rate of familial searching
Rori V. Rohlfs, Erin Murphy, Yun S. Song, Montgomery Slatkin

TL;DR
This study evaluates the effectiveness and risks of California's familial search protocol using simulations, revealing high accuracy for close relatives but significant misidentification risks for distant relatives, especially affecting overrepresented ethnic groups.
Contribution
It provides a detailed simulation-based analysis of the California familial search protocol, highlighting its accuracy for close relatives and potential for misidentification of distant relatives, with implications for privacy and fairness.
Findings
High probability (80-99%) of identifying first-degree relatives.
Low probability of false positives for unrelated individuals.
Significant risk of misidentifying distant relatives as close relatives.
Abstract
We investigate the consequences of adopting the criteria used by the state of California, as described by Myers et al. (2011), for conducting familial searches. We carried out a simulation study of randomly generated profiles of related and unrelated individuals with 13-locus CODIS genotypes and YFiler Y-chromosome haplotypes, on which the Myers protocol for relative identification was carried out. For Y-chromosome sharing first degree relatives, the Myers protocol has a high probability (80 - 99%) of identifying their relationship. For unrelated individuals, there is a low probability that an unrelated person in the database will be identified as a first-degree relative. For more distant Y-haplotype sharing relatives (half-siblings, first cousins, half-first cousins or second cousins) there is a substantial probability that the more distant relative will be incorrectly identified as a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
