Ethical, legal, and social challenges of next-generation sequencing technologies (NGS) in forensic criminal identification
| dc.contributor.author | Machado, Helena | |
| dc.contributor.author | Neiva, Laura | |
| dc.contributor.author | Granja, Rafaela | |
| dc.contributor.author | Silva, Susana | |
| dc.date.accessioned | 2025-10-05T18:33:21Z | |
| dc.date.issued | 2024 | |
| dc.date.updated | 2025-06-22T14:52:52Z | |
| dc.description.abstract | Next-Generation Sequencing (NGS), otherwise known as Massively Parallel Sequencing (MPS), or High Throughput Sequencing (HTS), promises to revolutionize the field of forensic science in supporting the activities of the criminal justice system. Besides being aware of the potential of NGS technologies for supporting activities of the criminal justice, it is urgent to attend to its Ethical, Legal, and Social Issues (ELSI), including conflicts with human rights, especially in terms of privacy and discrimination, data protection and security of genome-wide data, and challenges related to data sharing. This chapter provides an overview of the existing ELSI debate about NGS technologies in criminal identification, and identifies the gaps in the literature. We argue it is urgent to have guidelines to support NGS's ethically responsible implementation and use in forensic practice, and within the criminal justice system more broadly, since the technology has advanced faster than the capacity to introduce and implement basic safeguards sensitive to ethical, legal, and social challenges. | eng |
| dc.description.sponsorship | This work has received funding from a Consolidator Grant by the European Research Council (ERC), attributed to Helena Machado, under the European Union's Horizon 2020 research and innovation program (Grant agreement No. 648608). Complementary funding was received from the following grants/research programs: national funds through FCT — Fundacao para a Ciencia e a Tecnologia, I.P., under a Ph.D. Research Studentship with the reference 2020.04764.BD, attributed to Laura Neiva, under the Program Sci-entific Employment Stimulus — Institutional Call with the reference CEECINST/00157/2018, attributed to Rafaela Granja, and under the project UIDB/00736/2020 (base funding) and UIDP/00736/2020 (program-matic funding). | |
| dc.distribution | international | |
| dc.identifier.citation | Machado, H., Neiva, L., Granja, R., & Silva, S. (2024). Ethical, legal, and social challenges of next-generation sequencing technologies (NGS) in forensic criminal identification. In Next Generation Sequencing (NGS) Technology in DNA Analysis (pp. 551–569). Elsevier. https://doi.org/10.1016/b978-0-323-99144-5.09001-6 | |
| dc.identifier.doi | 10.1016/b978-0-323-99144-5.09001-6 | |
| dc.identifier.isbn | 9780323991445 | |
| dc.identifier.slug | cv-prod-3415845 | |
| dc.identifier.uri | https://hdl.handle.net/1822/97229 | |
| dc.language.iso | eng | |
| dc.peerreviewed | n/a | |
| dc.publisher | Elsevier | |
| dc.relation | Expectativas de agentes policiais sobre Big Data no sistema de policiamento e investigação criminal em Portugal [2020.04764.BD] | |
| dc.relation | CEECINST/00157/2018 | |
| dc.relation | Communication and Society Research Centre [UIDB/00736/2020] | |
| dc.relation.hasversion | https://www.sciencedirect.com/science/article/abs/pii/B9780323991445090016 | |
| dc.relation.publisherversion | https://doi.org/10.1016/b978-0-323-99144-5.09001-6 | |
| dc.rights | restrictedAccess | |
| dc.rights.uri | N/A | |
| dc.subject | Criminal justice system | por |
| dc.subject | ELSI | por |
| dc.subject | Forensics | por |
| dc.subject | Genetic privacy | por |
| dc.subject | Next-Generation Sequencing (NGS) | por |
| dc.subject | Responsible innovation | por |
| dc.title | Ethical, legal, and social challenges of next-generation sequencing technologies (NGS) in forensic criminal identification | eng |
| dc.type | bookPart | |
| dspace.entity.type | Publication | en |
| oaire.awardNumber | 2020.04764.BD | |
| oaire.awardNumber | UIDB/00736/2020 | |
| oaire.awardTitle | Expectativas de agentes policiais sobre Big Data no sistema de policiamento e investigação criminal em Portugal [2020.04764.BD] | |
| oaire.awardTitle | CEECINST/00157/2018/CP1643/CT0012 | |
| oaire.awardTitle | Communication and Society Research Centre [UIDB/00736/2020] | |
| oaire.awardURI | https://hdl.handle.net/1822/97225 | |
| oaire.awardURI | https://hdl.handle.net/1822/97228 | |
| oaire.awardURI | https://hdl.handle.net/1822/97226 | |
| oaire.citation.endPage | 569 | |
| oaire.citation.startPage | 551 | |
| oaire.citationEndPage | 569 | |
| oaire.citationStartPage | 551 | |
| oaire.funderIdentifier | http://doi.org/10.13039/501100001871 | |
| oaire.funderIdentifier | http://doi.org/10.13039/501100001871 | |
| oaire.funderName | Fundação para a Ciência e a Tecnologia, I.P. | |
| oaire.funderName | Fundação para a Ciência e a Tecnologia, I.P. | |
| oaire.fundingStream | CEEC INST 2018 | |
| oaire.fundingStream | Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| relation.isProjectOfPublication | 840a3cce-ff09-4b38-979e-3e69fad00aaa | |
| relation.isProjectOfPublication | bad9f3b2-4186-4f04-8756-3d35615be47b | |
| relation.isProjectOfPublication.latestForDiscovery | 840a3cce-ff09-4b38-979e-3e69fad00aaa | |
| sdum.bookTitle | Next Generation Sequencing (NGS) Technology in DNA Analysis |
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