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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Genetic differentiation and origin of the jordanian population: An analysis of alu insertion polymorphisms
Genetic Testing and Molecular Biomarkers, Volume 16, No. 5, Year 2012
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Description
Aim: Although much of Jordan is covered by desert, its north-western region forms part of the Fertile Crescent region that had given a rich past to Jordanians. This past, scarcely described by historians, is not yet clarified by sufficient genetic data. Thus in this paper we aim to determine the genetic differentiation of the Jordanian population and to discuss its origin. Methods: A total of 150 unrelated healthy Jordanians were investigated for ten Alu insertion polymorphisms. Genetic relationships among populations were estimated by a principal component (PC) plot based on the analyses of the R-matrix software. Results: Statistical analysis showed that the Jordanian population is not significantly different from the United Arab Emirates population or the North Africans. This observation, well represented in PC plot, suggests a common origin of these populations belonging respectively to ancient Mesopotamia, Arabia, and North Africa. Conclusion: Our results are compatible with ancient peoples' movements from Arabia to ancient Mesopotamia and North Africa as proposed by historians and supported by previous genetic results. The original genetic profile of the Jordanian population, very likely Arabian Semitic, has not been subject to significant change despite the succession of several civilizations. © 2012 Mary Ann Liebert, Inc.
Authors & Co-Authors
Bahri, Raoudha
Tunisia, Monastir
Université de Monastir
Moncer, Wifak El
Tunisia, Monastir
Université de Monastir
Al-Batayneh, Khalid M.
Jordan, Irbid
Yarmouk University
Sadiq, May Fouad G.
Jordan, Irbid
Yarmouk University
Esteban, Esther M.
Spain, Barcelona
Universitat de Barcelona
Moral, Pedro
Spain, Barcelona
Universitat de Barcelona
Chaabani, Hassen
Tunisia, Monastir
Université de Monastir
Statistics
Citations: 13
Authors: 7
Affiliations: 3
Identifiers
Doi:
10.1089/gtmb.2011.0197
ISSN:
19450265
e-ISSN:
19450257
Research Areas
Genetics And Genomics
Study Design
Cross Sectional Study
Study Approach
Quantitative
Study Locations
Multi-countries