Prioritizing privacy and presentation of supportable hypothesis testing in forensic genetic genealogy investigations.
forensic genetic genealogy
massively parallel sequencing
mitigation
privacy
risk
security
single nucleotide polymorphisms
third-party donors
Journal
BioTechniques
ISSN: 1940-9818
Titre abrégé: Biotechniques
Pays: England
ID NLM: 8306785
Informations de publication
Date de publication:
09 Aug 2024
09 Aug 2024
Historique:
medline:
9
8
2024
pubmed:
9
8
2024
entrez:
9
8
2024
Statut:
aheadofprint
Résumé
Investigative leads are not generated by traditional forensic DNA testing, if the source of the forensic evidence or a 1st degree relative of unidentified human remains is not in the DNA database. In such cases, forensic genetic genealogy (FGG) can provide valuable leads. However, FGG generated genetic data contain private and sensitive information. Therefore, it is essential to deploy approaches that minimize unnecessary disclosure of these data to mitigate potential risks to individual privacy. We recommend protective practices that need not impact effective reporting of relationship identifications. Examples include performing one-to-one comparisons of DNA profiles of third-party samples and evidence samples offline with an "air gap" to the internet and shielding the specific shared single nucleotide polymorphisms (SNP) states and locations by binning adjacent SNPs in forensic reports. Such approaches reduce risk of unwanted access to or reverse engineering of third-party individuals' genetic data and can give these donors greater confidence to support use of their DNA profiles in FGG investigation. [Box: see text].
Autres résumés
Type: plain-language-summary
(eng)
[Box: see text].
Identifiants
pubmed: 39119680
doi: 10.1080/07366205.2024.2386218
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM