Analytical validation of the IBD segment-based tool KinSNP® for human identification applications

KinSNP® v1.0, a software tool for human identification, has been widely used to measure IBD segment sharing between individuals using dense SNP data. Herein, the tool was validated using simulated pedigree data (up to 9th degree relationships) from five diverse populations from the 1000 Genomes Proj...

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Main Authors: Bruce Budowle, Jianye Ge, Lee Baker, Kristen Mittelman, David Mittelman
Format: Article
Language:English
Published: Taylor & Francis Group 2025-01-01
Series:BioTechniques
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/07366205.2025.2454770
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author Bruce Budowle
Jianye Ge
Lee Baker
Kristen Mittelman
David Mittelman
author_facet Bruce Budowle
Jianye Ge
Lee Baker
Kristen Mittelman
David Mittelman
author_sort Bruce Budowle
collection DOAJ
description KinSNP® v1.0, a software tool for human identification, has been widely used to measure IBD segment sharing between individuals using dense SNP data. Herein, the tool was validated using simulated pedigree data (up to 9th degree relationships) from five diverse populations from the 1000 Genomes Project. Performance was further tested under conditions of simulated genotyping errors and allele or locus dropout. KinSNP data were benchmarked with IBIS, Ped-sim, and known ranges of centimorgan sharing. The calculated values from KinSNP aligned closely with IBIS and Ped-sim benchmarks, and accuracy was maintained with up to 75% simulated missing data. However, even slight increases in simulated sequence error rates negatively impacted performance. This study supports that KinSNP is a reliable solution for IBD-based analyses in forensic contexts.
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spelling doaj-art-de1113df46fb419a92dedf059a5a46b32025-01-18T22:41:30ZengTaylor & Francis GroupBioTechniques0736-62051940-98182025-01-0111410.1080/07366205.2025.2454770Analytical validation of the IBD segment-based tool KinSNP® for human identification applicationsBruce Budowle0Jianye Ge1Lee Baker2Kristen Mittelman3David Mittelman4Othram Inc, The Woodlands, TX, USAOthram Inc, The Woodlands, TX, USAOthram Inc, The Woodlands, TX, USAOthram Inc, The Woodlands, TX, USAOthram Inc, The Woodlands, TX, USAKinSNP® v1.0, a software tool for human identification, has been widely used to measure IBD segment sharing between individuals using dense SNP data. Herein, the tool was validated using simulated pedigree data (up to 9th degree relationships) from five diverse populations from the 1000 Genomes Project. Performance was further tested under conditions of simulated genotyping errors and allele or locus dropout. KinSNP data were benchmarked with IBIS, Ped-sim, and known ranges of centimorgan sharing. The calculated values from KinSNP aligned closely with IBIS and Ped-sim benchmarks, and accuracy was maintained with up to 75% simulated missing data. However, even slight increases in simulated sequence error rates negatively impacted performance. This study supports that KinSNP is a reliable solution for IBD-based analyses in forensic contexts.https://www.tandfonline.com/doi/10.1080/07366205.2025.2454770Forensic genetic genealogyIBISkinshipKinSNP®validation
spellingShingle Bruce Budowle
Jianye Ge
Lee Baker
Kristen Mittelman
David Mittelman
Analytical validation of the IBD segment-based tool KinSNP® for human identification applications
BioTechniques
Forensic genetic genealogy
IBIS
kinship
KinSNP®
validation
title Analytical validation of the IBD segment-based tool KinSNP® for human identification applications
title_full Analytical validation of the IBD segment-based tool KinSNP® for human identification applications
title_fullStr Analytical validation of the IBD segment-based tool KinSNP® for human identification applications
title_full_unstemmed Analytical validation of the IBD segment-based tool KinSNP® for human identification applications
title_short Analytical validation of the IBD segment-based tool KinSNP® for human identification applications
title_sort analytical validation of the ibd segment based tool kinsnp r for human identification applications
topic Forensic genetic genealogy
IBIS
kinship
KinSNP®
validation
url https://www.tandfonline.com/doi/10.1080/07366205.2025.2454770
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