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Systematic analysis of full sibling identification by adding genetic markers and reference relatives

Bibliographic Data

ID5220429
AuthorsQianqian Kong (0000-0002-6812-9535), Qian-Qian Kong (Institute of Forensic Science), Shubo Wen (0000-0001-6474-4672, Soochow University), Zhenmin Zhao (Institute of Forensic Science), Man Chen (0000-0002-9334-5088, Institute of Forensic Science), Weijie Teng (Institute of Forensic Science), Liqin Chen (0000-0002-6513-8217, Inner Mongolia Medical University), Ran Li (0000-0002-4699-4755, Sun Yat-sen University), Hongyu Sun (0000-0002-5072-7019, Sun Yat-sen University), Xiling Liu (0000-0003-1318-6150, Institute of Forensic Science)
Year2025
Volume10
Issue3
Pagesowaf020-owaf020
Publication date2025-08-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueForensic Sciences Research (JOURNAL)
Journal identifiersISSN: 2471-1411 • E-ISSN: 2096-1790
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1093/fsr/owaf020
PMID41282460
OpenAlexW4413341038
LanguageEN
References cited35

Full-sibling (FS) identification is a crucial aspect of kinship analysis. However, current FS identification methods need to be more accurate and effective for routine FS identification. In this study, the optimal cut-off values for FS identification by incorporating both the identical by state (IBS) and likelihood ratio (LR) methods under four different levels of error rates were assessed. The corresponding sensitivity, specificity, accuracy, and effectiveness were calculated for different numbers of short tandem repeats (STRs), ranging from 19 to 55. The identified cut-off values were validated using authentic pedigrees from the Han population in East China. It was determined that the cut-off values derived from the IBS method and LR method with an error rate below 0.01% were dependable and practical. The study also explored the impact of half-sibling (HS) relationships and the inclusion of reference relatives in FS identification. Currently, an updated technical specification for FS identification in China was released, serving as a valuable resource for FS testing in forensic applications

Biology · Botany · Developmental psychology · Identification (biology) · Sibling · Forensic and Genetic Research · Genetics · Psychology

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    Open Access•Laurent Excoffier, HEIDI E L LISCHER•Molecular Ecology Resources•2010

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Highly citedNo
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