Pregled bibliografske jedinice broj: 1252523
Visibility of epigenetic cranial traits on multi- slice computed tomography (MSCT) scans and dry bones
Visibility of epigenetic cranial traits on multi- slice computed tomography (MSCT) scans and dry bones // Book of Abstracts / Miloglav, Ina (ur.).
Zagreb: Faculty of Humanities and Social Sciences of the University of Zagreb, 2022. str. 47-47 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1252523 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Visibility of epigenetic cranial traits on multi-
slice computed tomography (MSCT) scans
and dry bones
Autori
Bareša, Tina ; Jerković, Ivan ; Adamić Hadžić, Anita ; Šlaus, Mario ; Čavka, Mislav ; Bašić, Željana ; Kružić, Ivana
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts
/ Miloglav, Ina - Zagreb : Faculty of Humanities and Social Sciences of the University of Zagreb, 2022, 47-47
ISBN
978-953-379-040-4
Skup
10th Scientific Conference Methodology & Archaeometry (MetArh)
Mjesto i datum
Zagreb, Hrvatska, 01.12.2022. - 02.12.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
epigenetic traits, cranium, MSCT, dry bones
Sažetak
Epigenetic traits are defined as the expression of genes affecting development. In the fifties of the 20th century, genetic studies conducted on mice showed the epigenetic traits to be the most convenient for determining family relationships and population affiliation as they show high hereditability even though they are partly influenced affected by the environment. Various studies on human crania showed that the frequencies of epigenetic traits could be used for studying biological distances between populations. To examine if MSCT images could be used as a reference for the study of the modern population, we conducted a pilot study in which we compared the visibility of the same 80 epigenetic traits on 40 dry archaeological skulls from two medieval sites, 32 from Velim Velištak (21 males, 11 females) and 8 from Radašinovci (4 males, 4 females) and their MSCT scans. From a total of 80 traits analyzed, we identified 54 (67.5%) of them in the sample. When Cohen`s kappa was calculated, 24 traits showed almost perfect or perfect agreement (K =0.81-0.919), 19 traits showed substantial agreement (K= 0.611 - 0.794), one showed moderate agreement (K=0.588), 5 showed fair agreement (K= 0.281 - 0.557), and 5 showed slight agreement (K= 0.003 - 0.17). The study showed that most identified traits could be analyzed interchangeably on dry bones and CT images. However, some traits showed lower agreement levels, and their application should only be restricted to dry bones. Future studies are required to prove consistency between the two scoring modalities because the prevalence of some traits can be extremely low, thus disabling the comparison.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Etnologija i antropologija
POVEZANOST RADA
Projekti:
HRZZ-UIP-2020-02-7331 - Forenzička identifikacija ljudskih ostataka analizom MSCT snimaka (CTforID) (Kružić, Ivana, HRZZ - 2020-02) ( CroRIS)
Ustanove:
Hrvatska akademija znanosti i umjetnosti,
KBC Split,
Klinički bolnički centar Zagreb,
Sveučilište u Splitu Sveučilišni odjel za forenzične znanosti
Profili:
Mario Šlaus
(autor)
Tina Bareša
(autor)
Ivana Kružić
(autor)
Anita Adamić Hadžić
(autor)
Željana Bašić
(autor)
MISLAV ČAVKA
(autor)
Ivan Jerković
(autor)