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      Gender determination by odontometric method

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          Abstract

          Context:

          Gender determination is central in establishing personal identification from human skeletal remains. The study was conducted to find out the accuracy with which gender can be determined by odontometric methods.

          Aims:

          To investigate the mesiodistal (MD) and buccolingual (BL) dimensions of all the teeth of permanent dentition to find new parameters to differentiate between male and female teeth and to assess whether each type of linear measurement can be used independently in odontometric sex differentiation.

          Materials and Methods:

          The study was conducted at a dental college on a composite group of 500 individuals comprising 250 males and 250 females. Impressions of upper and lower jaws were made with alginate impression material and casts prepared with dental stone. A digital Vernier calliper was used to measure the BL and MD dimensions of all the upper teeth except the third molars.

          Statistical Analysis Used:

          The results were subjected to statistical analysis using univariate analysis and linear stepwise discriminant function analysis to find the variables which discriminate gender significantly.

          Results:

          The MD and BL dimensions between males and females were statistically significant. The predicted value for correct classification of gender was also statistically significant.

          Conclusions:

          The ability to differentiate gender in the population using stepwise discriminant functions was found to be very high with 99.8% accuracy with males showing statistically larger teeth than females. This is similar to the near 100% success in gender determination using pelvic and skull bones.

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          Sexual variation in bucco-lingual dimensions in Turkish dentition.

          Sexual differences in the human skeleton have been well studied in many populations. Odontometric analysis of the human sexual variation has been less investigated and mostly derived from the dentition of extinct populations. Turkey is situated in a unique location where populations from different regions mixed with each other and created a rich gene pool. One might anticipate that modern Turkish population is composed of genes from the Balkans, Caucasus, Middle East, Iran and further as well as from ancient Romans, Byzantines, Arabs and Asiatic Turks. It is clear that contemporary Turks are a mixture of these extant and extinct people and ideal to consider it a representative study population. The purpose of this study is to analyze dental dimensions and sexual variation in living Turks and develop forensic techniques to identify human remains from the teeth when any other technique is not available or not reliable. The study is composed of Ankara University dental students (50 male and 50 female casts, average age of 21 years). Bucco-lingual breadths from 14 teeth (I1 through M2 of the maxilla and mandible) are taken from the left side and analyzed using the discriminant function statistics. An intraobserver error test did not indicate any statistically significant difference between any two measurements. Results of the study revealed that males exceeded females significantly (P<0.001) in dimensions. Coefficient of variation was most obvious in I1s and I2s of both jaws in both sexes. Stepwise discriminant function statistics suggested that upper C, and lower C and M2 are the most contributory teeth to the function. Additional formulae were calculated for situation in which only one or a fragmented jaw is available for identification. Overall accuracy of sex diagnosis ranged from 73 to 77%. In conclusion this research supports earlier studies that sexual dimorphism is population specific. While dental difference between the sexes in several human populations has been found highly dimorphic, it was not found so in Turks and accuracy of classification remained low at about 77%. The difficulty or the lack of dimorphism comes from male subjects.
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            Univariate sex dimorphism in the Nepalese dentition and the use of discriminant functions in gender assessment.

            Sex dimorphism in the Nepalese dentition is described using univariate and discriminant analyses. Canines showed the greatest univariate sex dimorphism, followed by the buccolingual (BL) dimension of maxillary first and second molars. Overall, the maxillary teeth and BL dimensions showed greater univariate sex differences. However, less than half of the measured variables (46.4%) showed statistically significant differences between the sexes and the magnitude of sex dimorphism was reduced when compared to other populations. Moreover, reverse dimorphism--where females showed larger teeth than males--was observed in the mesiodistal dimension of mandibular second premolars. This reflects reduction in sexual dimorphism observed through human evolution and the consequent overlap of tooth dimensions in modern males and females. A specific purpose of the study was to develop discriminant functions to facilitate sex classification. A group of functions were developed considering the possibility of missing teeth and/or jaws in forensic scenarios. The functions permitted moderate to high classification accuracy in sexing (67.9% using maxillary posterior teeth; 92.5% using teeth from both jaws). The superior expression of sex dimorphism by means of discriminant functions is in contrast to the univariate results. This is due to discriminant analysis utilising the inter-relationship between all teeth within a dentition--these tooth correlations are not utilised in univariate analysis which results in a loss of information. It is inferred that large-scale statistically significant univariate differences are not a prerequisite for sex assessment.
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              Genetic control of sexual dimorphism in tooth size.

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                Author and article information

                Journal
                J Forensic Dent Sci
                J Forensic Dent Sci
                JFDS
                Journal of Forensic Dental Sciences
                Medknow Publications & Media Pvt Ltd (India )
                0975-1475
                0975-2137
                Jan-Apr 2017
                : 9
                : 1
                : 44
                Affiliations
                [1] Department of Oral Pathology and Microbiology, Farooqia Dental College and Hospital, Mysore, Karnataka, India
                [1 ] Department of Oral Pathology and Microbiology, RajaRajeswari Dental College and Hospital, Bengaluru, Karnataka, India
                Author notes
                Address for correspondence: Dr. Litha, Department of Oral Pathology and Microbiology, Farooqia Dental College and Hospital, Mysore, Karnataka, India. E-mail: litha4excellence@ 123456gmail.com
                Article
                JFDS-9-44b
                10.4103/jfo.jfds_96_15
                5450487
                0b45a8cb-49a1-4224-92da-a69b87dcb7b5
                Copyright: © 2017 Journal of Forensic Dental Sciences

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

                History
                Categories
                Original Article

                Forensic science
                buccolingual,gender determination,mesiodistal,odontometric
                Forensic science
                buccolingual, gender determination, mesiodistal, odontometric

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