Diş örneklerinin bilimsel çalışmada kullanılmasına onay veren olgular ile çekilen 110 adet diş örneğinin tarafımıza ulaşmasında desteğini esirgemeyen Prof. Dr. Mehmet Ali Kılıçarslan’a teşekkür ederiz.
Identification is the first step in cases of death investigation. Although it is mostly performed by visual methods in forensic cases, sometimes it is not possible due to the condition of the body. In cases that the body is highly degraded, decomposed or skeletonized, identification becomes a difficult, multidisciplinary procedure. Mostly, the first stage of the identification is sex determination. In the presence of entire skeleton, sex determination is easy due to the bones, that represents high sexual dimorphism but otherwise it is challenging especially in the absence of skull and pelvis. As teeth are the most durable part of our body, in cases of explosion, fire or similarly extreme conditions, they are the only evidence left to be evaluated. Determination of gender from tooth samples is performed with odontometry and DNA analysis. Odontometric sexual dimorphism has been detected at different rates in different populations. The aim of the current study is to evaluate if the sexual dimorphism rates in Turkish population is applicable for forensic cases. The results of the odontometric analysis performed using 110 tooth samples exracted at Ankara Hospital, Oral and Dental Health Center were compared with the Turkish population data, and the success rates in terms of sex determination were found to be 40%, for male and 71.67% for female for the mesiodistal (MD) dimension, and 42% for male and 78.33% for female for buccolingual (BL) dimension. As a result, odontometric analysis performed on tooth samples of unknown age, sex and health status do not give adequate sex determination rates to be used in forensic cases.
Odontometry sexual dimorphism DNA amelogenin identification forensic sciences sex determination
Primary Language | Turkish |
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Subjects | Structural Biology, Forensic Medicine, Anthropology |
Journal Section | Research Articles |
Authors | |
Publication Date | June 28, 2021 |
Submission Date | April 1, 2021 |
Acceptance Date | May 11, 2021 |
Published in Issue | Year 2021 |
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