It's all relative: A multi-generational study using ForenSeq™ Kintelligence.

Daniel, R; Raymond, J; Sears, A; Stock, A; Scudder, N; Padmabandu, G; Kumar, SA; Snedecor, J; Antunes, J; Hartman, D

It's all relative: A multi-generational study using ForenSeq™ Kintelligence.

Daniel, R Raymond, J Sears, A Stock, A Scudder, N

Padmabandu, G Kumar, SA Snedecor, J Antunes, J Hartman, D

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Forensic Sci Int, 2024, 364, pp. 112208
Issue Date:: 2024-08-27

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Field	Value	Language
dc.contributor.author	Daniel, R
dc.contributor.author	Raymond, J
dc.contributor.author	Sears, A
dc.contributor.author	Stock, A
dc.contributor.author	Scudder, N https://orcid.org/0000-0002-6011-9092
dc.contributor.author	Padmabandu, G
dc.contributor.author	Kumar, SA
dc.contributor.author	Snedecor, J
dc.contributor.author	Antunes, J
dc.contributor.author	Hartman, D
dc.date.accessioned	2024-11-07T03:18:04Z
dc.date.available	2024-08-24
dc.date.available	2024-11-07T03:18:04Z
dc.date.issued	2024-08-27
dc.identifier.citation	Forensic Sci Int, 2024, 364, pp. 112208
dc.identifier.issn	0379-0738
dc.identifier.issn	1872-6283
dc.identifier.uri	http://hdl.handle.net/10453/181794
dc.description.abstract	The successful application of Forensic Investigative Genetic Genealogy (FIGG) to the identification of unidentified human remains and perpetrators of serious crime has led to a growing interest in its use internationally, including Australia. Routinely, FIGG has relied on the generation of high-density single nucleotide polymorphism (SNP) profiles from forensic samples using whole genome array (WGA) (∼650,000 or more SNPs) or whole genome sequencing (WGS) (millions of SNPs) for DNA segment-based comparisons in commercially available genealogy databases. To date, this approach has required DNA of a quality and quantity that is often not compatible with forensic samples. Furthermore, it requires the management of large data sets that include SNPs of medical relevance. The ForenSeq™ Kintelligence kit, comprising of 10,230 SNPs including 9867 for kinship association, was designed to overcome these challenges using a targeted amplicon sequencing-based method developed for low DNA inputs, inhibited and/or degraded forensic samples. To assess the ability of the ForenSeq™ Kintelligence workflow to correctly predict biological relationships, a comparative study comprising of 12 individuals from a family (with varying degrees of relatedness from 1st to 6th degree relatives) was undertaken using ForenSeq™ Kintelligence and a WGA approach using the Illumina Global Screening Array-24 version 3.0 Beadchip. All expected 1st, 2nd, 3rd, 4th and 5th degree relationships were correctly predicted using ForenSeq™ Kintelligence, while the expected 6th degree relationships were not detected. Given the (often) limited availability of forensic samples, findings from this study will assist Australian Law enforcement and other agencies considering the use of FIGG, to determine if the ForenSeq™ Kintelligence is suitable for existing workflows and casework sample types considered for FIGG.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Forensic Sci Int
dc.relation.isbasedon	10.1016/j.forsciint.2024.112208
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Legal & Forensic Medicine
dc.title	It's all relative: A multi-generational study using ForenSeq™ Kintelligence.
dc.type	Journal Article
utslib.citation.volume	364
utslib.location.activity	Ireland
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Forensic Science (CFS)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Forensic Science (CFS)/Associate Member
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-11-07T03:18:02Z
pubs.publication-status	Published online
pubs.volume	364

Abstract:

The successful application of Forensic Investigative Genetic Genealogy (FIGG) to the identification of unidentified human remains and perpetrators of serious crime has led to a growing interest in its use internationally, including Australia. Routinely, FIGG has relied on the generation of high-density single nucleotide polymorphism (SNP) profiles from forensic samples using whole genome array (WGA) (∼650,000 or more SNPs) or whole genome sequencing (WGS) (millions of SNPs) for DNA segment-based comparisons in commercially available genealogy databases. To date, this approach has required DNA of a quality and quantity that is often not compatible with forensic samples. Furthermore, it requires the management of large data sets that include SNPs of medical relevance. The ForenSeq™ Kintelligence kit, comprising of 10,230 SNPs including 9867 for kinship association, was designed to overcome these challenges using a targeted amplicon sequencing-based method developed for low DNA inputs, inhibited and/or degraded forensic samples. To assess the ability of the ForenSeq™ Kintelligence workflow to correctly predict biological relationships, a comparative study comprising of 12 individuals from a family (with varying degrees of relatedness from 1st to 6th degree relatives) was undertaken using ForenSeq™ Kintelligence and a WGA approach using the Illumina Global Screening Array-24 version 3.0 Beadchip. All expected 1st, 2nd, 3rd, 4th and 5th degree relationships were correctly predicted using ForenSeq™ Kintelligence, while the expected 6th degree relationships were not detected. Given the (often) limited availability of forensic samples, findings from this study will assist Australian Law enforcement and other agencies considering the use of FIGG, to determine if the ForenSeq™ Kintelligence is suitable for existing workflows and casework sample types considered for FIGG.

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http://hdl.handle.net/10453/181794