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Pregled bibliografske jedinice broj: 101322

Časopis

Autori: Gornik, Ivan; Marcikić, Mladen; Kubat, Milovan; Primorac, Dragan; Lauc, Gordan
Naslov: The identification of war victims by reverse paternity is associated with significant risks of false inclusion
Izvornik: International Journal of Legal Medicine (0937-9827) 116 (2002), 5; 255-257
Vrsta rada: članak
Ključne riječi: STR sequences; Amplified Fragment Length Polymorphism; DNA typing; Human identity; Paternity
Sažetak:
Since February 2001 the process of DNA identification of war victims in Croatia relies on the database of over 3, 000 nine-loci (D3S1358, vWA, FGA, TH01, TPOX, CSF1PO, D5S818, D13S317 and D7S820) STR genotypes of relatives of missing persons. Instead of a targeted approach to DNA typing, the genotype of each analyzed skeletal remains is compared to all genotypes in the database to identify potential parents and children. Although this approach has significantly increased the pace of identification by DNA typing, non-targeted matching in a database containing several thousand genotypes considerably decreases the significance of inclusion, especially when identification is based on reverse paternity analysis. To support this statistical prediction we are presenting three cases of 10 STR loci match and one case of 11 STR loci match between a child, child's mother and skeletal remains that did not originate from a father of that child.
Projekt / tema: 141009, 127009, 006320, 0108249
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
MEDLINE
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Biologija,Temeljne medicinske znanosti,Javno zdravstvo i zdravstvena zaštita
Puni text rada: 101322.2002_Int_Journal_of_Legal_Medicine_Gornik_The_identification_of_war_victims.pdf (tekst priložen 28. Ožu. 2007. u 14:30 sati)
URL cjelovitog teksta:
Google Scholar: The identification of war victims by reverse paternity is associated with significant risks of false inclusion



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