Literature DB >> 29554642

Forensic DNA phenotyping: Developing a model privacy impact assessment.

Nathan Scudder1, Dennis McNevin2, Sally F Kelty3, Simon J Walsh4, James Robertson2.   

Abstract

Forensic scientists around the world are adopting new technology platforms capable of efficiently analysing a larger proportion of the human genome. Undertaking this analysis could provide significant operational benefits, particularly in giving investigators more information about the donor of genetic material, a particularly useful investigative lead. Such information could include predicting externally visible characteristics such as eye and hair colour, as well as biogeographical ancestry. This article looks at the adoption of this new technology from a privacy perspective, using this to inform and critique the application of a Privacy Impact Assessment to this emerging technology. Noting the benefits and limitations, the article develops a number of themes that would influence a model Privacy Impact Assessment as a contextual framework for forensic laboratories and law enforcement agencies considering implementing forensic DNA phenotyping for operational use.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biogeographical ancestry; DNA phenotyping; Externally visible characteristics; Forensic; Privacy; Privacy impact assessment

Mesh:

Substances:

Year:  2018        PMID: 29554642     DOI: 10.1016/j.fsigen.2018.03.005

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  3 in total

1.  Protecting trust in medical genetics in the new era of forensics.

Authors:  Caitlin Curtis; James Hereward; Marie Mangelsdorf; Karen Hussey; John Devereux
Journal:  Genet Med       Date:  2018-12-18       Impact factor: 8.822

2.  Evaluation of the Ion AmpliSeq™ PhenoTrivium Panel: MPS-Based Assay for Ancestry and Phenotype Predictions Challenged by Casework Samples.

Authors:  Marta Diepenbroek; Birgit Bayer; Kristina Schwender; Roberta Schiller; Jessica Lim; Robert Lagacé; Katja Anslinger
Journal:  Genes (Basel)       Date:  2020-11-25       Impact factor: 4.096

Review 3.  Interpol review of forensic biology and forensic DNA typing 2016-2019.

Authors:  John M Butler; Sheila Willis
Journal:  Forensic Sci Int       Date:  2020-02-20       Impact factor: 2.395

  3 in total

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