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Article: Familial database search on two-person mixture

TitleFamilial database search on two-person mixture
Authors
KeywordsDatabase search
DNA
Likelihood ratio
Mixture
Relative
Issue Date2010
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/csda
Citation
Computational Statistics And Data Analysis, 2010, v. 54 n. 8, p. 2046-2051 How to Cite?
AbstractThis work presents how the familial database search can be applied to forensic investigations in which the DNA evidence is a mixture. The forensic identification is based on a ranked list of the likelihood ratios for each candidate in the DNA database of being the relative of the contributor of the forensic sample. A simulation study using Hong Kong Chinese data demonstrated the comparable effectiveness of our approach that in 90% of the cases, the sibling of the contributor can be found in the top 50 profiles, and the parent/child can be found in the top 10 profiles. We also discuss the prediction on the performance of the search that can guide the decision of the police force to initiate the investigation. © 2010 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/125412
ISSN
2015 Impact Factor: 1.179
2015 SCImago Journal Rankings: 1.283
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong RGC General Research Fund
Croucher Foundation
HKU Research
Funding Information:

This work was partially supported by the Hong Kong RGC General Research Fund, the Croucher Foundation and the HKU Research Output Prize Funding. The authors thank the anonymous referees for their valuable comments and suggestions that greatly improved the paper.

References

 

DC FieldValueLanguage
dc.contributor.authorChung, YKen_HK
dc.contributor.authorFung, WKen_HK
dc.contributor.authorHu, YQen_HK
dc.date.accessioned2010-10-31T11:29:55Z-
dc.date.available2010-10-31T11:29:55Z-
dc.date.issued2010en_HK
dc.identifier.citationComputational Statistics And Data Analysis, 2010, v. 54 n. 8, p. 2046-2051en_HK
dc.identifier.issn0167-9473en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125412-
dc.description.abstractThis work presents how the familial database search can be applied to forensic investigations in which the DNA evidence is a mixture. The forensic identification is based on a ranked list of the likelihood ratios for each candidate in the DNA database of being the relative of the contributor of the forensic sample. A simulation study using Hong Kong Chinese data demonstrated the comparable effectiveness of our approach that in 90% of the cases, the sibling of the contributor can be found in the top 50 profiles, and the parent/child can be found in the top 10 profiles. We also discuss the prediction on the performance of the search that can guide the decision of the police force to initiate the investigation. © 2010 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/csdaen_HK
dc.relation.ispartofComputational Statistics and Data Analysisen_HK
dc.subjectDatabase searchen_HK
dc.subjectDNAen_HK
dc.subjectLikelihood ratioen_HK
dc.subjectMixtureen_HK
dc.subjectRelativeen_HK
dc.titleFamilial database search on two-person mixtureen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0167-9473&volume=54&spage=2046&epage=2051&date=2010&atitle=Familial+database+search+on+two-person+mixtureen_HK
dc.identifier.emailFung, WK: wingfung@hku.hken_HK
dc.identifier.emailHu, YQ: yqhu@hku.hken_HK
dc.identifier.authorityFung, WK=rp00696en_HK
dc.identifier.authorityHu, YQ=rp00708en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.csda.2010.03.002en_HK
dc.identifier.scopuseid_2-s2.0-77950843180en_HK
dc.identifier.hkuros175962en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77950843180&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume54en_HK
dc.identifier.issue8en_HK
dc.identifier.spage2046en_HK
dc.identifier.epage2051en_HK
dc.identifier.isiWOS:000278155100014-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridChung, YK=7404384597en_HK
dc.identifier.scopusauthoridFung, WK=13310399400en_HK
dc.identifier.scopusauthoridHu, YQ=13410089000en_HK
dc.identifier.citeulike6916189-

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