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Research Papers

Genetic polymorphisms of 17 X-STR loci in two Tunisian populations from Sousse and Makthar

, , , , , & show all
Pages 342-347 | Received 04 Jan 2022, Accepted 03 Oct 2022, Published online: 29 Nov 2022
 

Abstract

Background

Tunisia has a complex demographic history of migrations from within Africa, Europe, and the Middle East. However, only one population study based on X-STR markers has been reported so far.

Aim

To investigate the genetic polymorphisms of 17 X-STRs in two Tunisian populations from the cities of Sousse and Makthar, and to reveal the genetic relationships with other reference populations.

Subjects and methods

A total of 194 unrelated healthy individuals were analysed for 17 X-STR markers.

Results

Our results indicate that DXS6809 is the most polymorphic locus, whereas DXS6807 is the least informative marker in the populations of Sousse and Makthar. In addition, forensic statistical parameters, such as the power of discrimination in males and females, as well as the mean of exclusion in duos and trios, reveal that the panel of 17 X-STRs is highly informative and useful in different forensic applications. Overall, pairwise genetic distances (Fst) and non-metric MDS plots demonstrate clustering of different populations according to their geographic locations and their historical relationships.

Conclusion

Overall, the study of X-STR markers of the Tunisian populations can help to promote the establishment of a forensic DNA reference database in Tunisia and provide reference for future anthropological research.

Acknowledgements

We thank all persons and local communities that donated their DNA and made the present study feasible.

Ethical approval

All samples were obtained from volunteer donors under informed consent, following the ethical standards of Helsinki Declaration. The current study was approved by the local Ethics Committee of Charles Nicolle Hospital in Tunis.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Basque Government (Grupo Consolidado IT998-16 and IT-1271–19) and the Tunisian Ministry of Higher Education and Scientific Research.

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