Variability in the dental non-metric traits in maxillary central incisors among the geographically distinct populations in Gujarat, India: a cross-sectional study using the Turner-Scott dental anthropology system.
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Abstract
The non-metric traits were used mostly for population identification or ancestry prediction. Very rarely it is being used for sex prediction. This present study applied the dental non-metric traits for sex prediction and also for population discrimination among eight geographically distinct populations in Gujarat. The comparison of three non-metric traits namely, labial curvature, shoveling, and tuberculum dentale traits in permanent maxillary central incisors in distinct population subgroups from different geographical and community backgrounds was performed. The dental traits in 1299 school children were examined and the expression of the traits was compared and recorded using the Turner-Scott standard dental anthropology plaques. Only the shoveling trait showed significant gender difference in the study population. There was a highly significant difference in the overall distribution of the traits between the different population subgroups. The shoveling trait was present in 64% of the central incisors. The percentage of correct prediction of sex based on the discriminant function ranged from 57.9% to 71.5% in all the districts. There was a 66.4% variance in the expression of the traits among the districts. Only 20.7% of the overall population was correctly classified district-wise using the non-metric dental traits in the maxillary central incisor.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Dr. Girish Parmar, Govt. Dental College and Hospital, Ahmedabad
Additional Director(Dental) and Dean
Dr. Rajesh Babu, National Forensic Sciences University, Gandhinagar
Associate Professor
Dr.J.M.Vyas, National Forensic Sciences University, Gandhinagar
Hon'ble Vice Chancellor