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Amelogenin Gene - The Pioneer in Gender Determination from Forensic Dental Samples
In the event of any mass fatality incident, DNA analysis plays a vital role in disaster victim identification. Teeth are one of the most resistant structures in the human body that resist decomposition hence making them prime choice for extracting DNA for identification of individuals. Polymerase Ch...
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Published in: | Journal of clinical and diagnostic research 2017-02, Vol.11 (2), p.ZC56-ZC59 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | In the event of any mass fatality incident, DNA analysis plays a vital role in disaster victim identification. Teeth are one of the most resistant structures in the human body that resist decomposition hence making them prime choice for extracting DNA for identification of individuals. Polymerase Chain Reaction (PCR) analysis that target regions of Amelogenin gene have become the method of choice for sex determination of biological samples.
Determining the sex of a given DNA sample from either dental pulp or dentin of tooth and help in identification of missing persons and disaster victims.
In our study 50 teeth samples were studied and they were subjected to various environmental conditions along with freshly extracted teeth taken as control for duration of one month and three months. Pulpal tissue was retrieved from the teeth specimens by access opening of root canals and for incinerated samples, the specimens were crushed. From the DNA that was extracted from the dental pulp sample Amelogenin gene locus was used for sex determination by amplifying a segment of X-Y homologous gene locus through PCR analysis.
ANOVA test and t-test proved to be statistically significant and 100% retrieval rate was observed in samples.
Pulpal tissue along with degenerating odontoblastic processes yield sufficient amount of DNA for gender determination when subjected to various forensic conditions with maximum accuracy. |
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ISSN: | 2249-782X 0973-709X |
DOI: | 10.7860/JCDR/2017/22183.9407 |