Analysis of the privacy-performance tradeoff of reference testing in Forensic Investigative Genetic Genealogy.
family trees
forensic genetic genealogy
performance analysis
privacy
probabilistic analysis
stochastic dynamic programming
Journal
Journal of forensic sciences
ISSN: 1556-4029
Titre abrégé: J Forensic Sci
Pays: United States
ID NLM: 0375370
Informations de publication
Date de publication:
08 Jul 2024
08 Jul 2024
Historique:
revised:
21
06
2024
received:
02
05
2024
accepted:
26
06
2024
medline:
9
7
2024
pubmed:
9
7
2024
entrez:
9
7
2024
Statut:
aheadofprint
Résumé
During an investigation using Forensic Investigative Genetic Genealogy, which is a novel approach for solving violent crimes and identifying human remains, reference testing-when law enforcement requests a DNA sample from a person in a partially constructed family tree-is sometimes used when an investigation has stalled. Because the people considered for a reference test have not opted in to allow law enforcement to use their DNA profile in this way, reference testing is viewed by many as an invasion of privacy and by some as unethical. We generalize an existing mathematical optimization model of the genealogy process by incorporating the option of reference testing. Using simulated versions of 17 DNA Doe Project cases, we find that reference testing can solve cases more quickly (although many reference tests are required to substantially hasten the investigative process), but only rarely (<1%) solves cases that cannot otherwise be solved. Through a mixture of mathematical and computational analysis, we find that the most desirable people to test are at the bottom of a path descending from an ancestral couple that is most likely to be related to the target. We also characterize the rare cases where reference testing is necessary for solving the case: when there is only one descending path from an ancestral couple, which precludes the possibility of identifying an intersection (e.g., marriage) between two descendants of two different ancestral couples.
Identifiants
pubmed: 38978157
doi: 10.1111/1556-4029.15579
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024 American Academy of Forensic Sciences.
Références
Kling D, Phillips C, Kennett D, Tillmar A. Investigative genetic genealogy: current methods, knowledge and practice. Forensic Sci Int Genet. 2021;52:102474. https://doi.org/10.1016/j.fsigen.2021.102474
Tuazon OM, Wickenheiser RA, Ansell R, Guerrini CJ, Zwenne GJ, Custers B. Law enforcement use of genetic genealogy databases in criminal investigations: nomenclature, definition and scope. Forensic Sci Int Synerg. 2024;8:100460. https://doi.org/10.1016/j.fsisyn.2024.100460
Guerrini CJ, Bash Brooks W, Robinson JO, Fullerton SM, Zoorob E, McGuire AL. IGG in the trenches: results of an in‐depth interview study on the practice, politics, and future of investigative genetic genealogy. Forensic Sci Int. 2024;356:111946. https://doi.org/10.1016/j.forsciint.2024.111946
Wickenheiser RA, Naugle J, Hoey B, Nowlin R, Kumar SA, Minton A, et al. National Technology Validation and Implementation Collaborative (NTVIC) policies and procedures for Forensic Investigative Genetic Genealogy (FIGG). Forensic Sci Int Synerg. 2023;6:100316. https://doi.org/10.1016/j.fsisyn.2023.100316
Budowle B, Sajantila A. Revisiting informed consent in forensic genomics in light of current technologies and the times. Int J Legal Med. 2023;137(2):551–565. https://doi.org/10.1007/s00414‐023‐02947‐w
Ertürk MS, Fitzpatrick C, Press M, Wein LM. Analysis of the genealogy process in forensic genetic genealogy. J Forensic Sci. 2022;67(6):2218–2229. https://doi.org/10.1111/1556‐4029.15127
Genetic Affairs. AutoCluster. [cited 2022 Jan 25]. https://www.geneticaffairs.com/features‐autocluster.html
Bertsekas D. Dynamic programming and optimal control. Vol. I. 4th ed. Nashua, NH: Athena Scientific; 2012.