Title

Sexing of Dry Mandibles of Eastern Indian Population Using Discriminant Function Analysis.

Authors

Sayeli Das, Abhishek Das, Sujash Biswas, Projjal Chakraborty, Sunetra Kaviraj Roy, Debasmita Ghanty

Abstract

Introduction: At times, during an autopsy, the task becomes challenging without sufficient and robust information to properly fix the sex of the person. This study was done on archived museum sets of preserved dry mandibles of the Bengali population in the Department of Forensic Medicine of a medical college in Eastern India. Methods: A total of 44 mandibles were included in the study of which there were 26 males and 18 females. First, the sexing of each mandible was done based on the morphological characteristics of the bones. Then, eight (8) parameters were measured and studied in each mandible- four of them were midline data, and the rest four were bilateral data. Results: Standardized canonical discriminant function showed Bigonial Breadth (BGB) has the most explanatory power & the best predictor of sex. Discriminating Function equation and the sectioning point (Z0) was calculated using the Xavier formula. In the present study, the discriminant Function Analysis and equation obtained there of mandibles were correctly sexed with accuracy. Conclusion: Thus, it has been proved that morphometric data of mandibles can be used with precision to determine the sex of unknown samples.

Key words

Mandible, Forensic Anthropology, Sexual dimorphism, Morphometry, Eastern Indian population.

DOI

  10.59988/jfmsl.vol.33issue1.4