Comparison of gender identification using exfoliated cells obtained from toothbrush and miswak: A longitudinal study

Author:

Alqarni Abdullah1,Shamsudeen Shaik Mohamed1ORCID,Mannakandath Master Luqman1,Asif Shaik Mohammed1,Alassiri Saeed1,Assiri Khalil Ibrahim1

Affiliation:

1. Department of Dental Diagnostic Science & Oral Biology King Khalid University, Abha, Saudi Arabia.

Abstract

Gender identification plays a pivotal role in forensic medicine. Among the various methods used for gender identification, deoxyribose nucleic acid (DNA) based methods are considered accurate. Exfoliated oral mucosal cells that are harvested from oral hygiene aids can be potentially used for gender identification using real-time polymerase chain rection (PCR). The aim of the present longitudinal study is to assess and compare the efficacy of toothbrush and miswak as potential tools to harvest exfoliated cells for gender identification. Forty healthy volunteers were recruited and asked to clean their teeth using new toothbrush and fresh miswak each day for 4 days. Toothbrush and miswak used by the participants were subjected to DNA analysis immediately, 1st, 2nd and 6th month. The absorbance of DNA samples were quantified and gender identification was done by amplification of sex determining gene-Sex determining region Y gene (SRY) and ALT1 genes using real-time PCR. The number of correct and positive identification for samples at various time points were tabulated and subjected to statistical analysis. Post hoc power analysis showed that the study had a power of 93%. Correct and positive gender identification was observed for the samples (100%) obtained using miswak, for tooth brush it reduced to 95%, 80%, and 35% at the end of 1st, 2nd, and 6th month. The differences seen at the end of 2nd month and 6th month were statistically significant. Miswak is a better tool to harvest exfoliated cells for gender identification when compared to a toothbrush. Hence, miswak can serve as a potential tool in forensic medicine for DNA extraction and subsequently victim identification.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference24 articles.

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