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
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

Pagination

1-7

Auteurs

Bruce Budowle (B)

Othram Inc., The Woodlands, TX 77381, USA.
Department of Forensic Medicine, University of Helsinki, Finland.
Forensic Science Institute, Radford University, Radford, VA 24142, USA.

Lee Baker (L)

Othram Inc., The Woodlands, TX 77381, USA.

Antti Sajantila (A)

Department of Forensic Medicine, University of Helsinki, Finland.
Forensic Medicine Unit, Finnish Institute for Health & Welfare, Helsinki,Finland.

Kristen Mittelman (K)

Othram Inc., The Woodlands, TX 77381, USA.

David Mittelman (D)

Othram Inc., The Woodlands, TX 77381, USA.

Classifications MeSH