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Population structure of indigenous inhabitants of Arabia

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  • Katsuhiko Mineta
  • Kosuke Goto
  • Takashi Gojobori
  • Fowzan S Alkuraya

Abstract

Modern day Saudi Arabia occupies the majority of historical Arabia, which may have contributed to ancient waves of migration out of Africa. This ancient history has left a lasting imprint in the genetics of the region, including the diverse set of tribes that call Saudi Arabia their home. How these tribes relate to each other and to the world’s major populations remains an unanswered question. In an attempt to improve our understanding of the population structure of Saudi Arabia, we conducted genomic profiling of 957 unrelated individuals who self-identify with 28 large tribes in Saudi Arabia. Consistent with the tradition of intra-tribal unions, the subjects showed strong clustering along tribal lines with the distance between clusters correlating with their geographical proximities in Arabia. However, these individuals form a unique cluster when compared to the world’s major populations. The ancient origin of these tribal affiliations is supported by analyses that revealed little evidence of ancestral origin from within the 28 tribes. Our results disclose a granular map of population structure and have important implications for future genetic studies into Mendelian and common diseases in the region.Author summary: Arabian Peninsula has been home to ancient civilizations and elucidating its population structure can add to our understanding of human history. We conducted genomic profiling of 957 unrelated individuals who self-identify with 28 large tribes in Saudi Arabia. We found that genomic structure of Saudis is more clustered than previously thought, suggesting that tribal linages have been maintained for a long time in Arabian Peninsula in spite of admixture. The population structure revealed by our study has important implications for both Mendelian and complex genetics work in the study population.

Suggested Citation

  • Katsuhiko Mineta & Kosuke Goto & Takashi Gojobori & Fowzan S Alkuraya, 2021. "Population structure of indigenous inhabitants of Arabia," PLOS Genetics, Public Library of Science, vol. 17(1), pages 1-18, January.
  • Handle: RePEc:plo:pgen00:1009210
    DOI: 10.1371/journal.pgen.1009210
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    1. Priya Moorjani & Nick Patterson & Joel N Hirschhorn & Alon Keinan & Li Hao & Gil Atzmon & Edward Burns & Harry Ostrer & Alkes L Price & David Reich, 2011. "The History of African Gene Flow into Southern Europeans, Levantines, and Jews," PLOS Genetics, Public Library of Science, vol. 7(4), pages 1-13, April.
    2. Morten Rasmussen & Martin Sikora & Anders Albrechtsen & Thorfinn Sand Korneliussen & J. Víctor Moreno-Mayar & G. David Poznik & Christoph P. E. Zollikofer & Marcia S. Ponce de León & Morten E. Allento, 2015. "The ancestry and affiliations of Kennewick Man," Nature, Nature, vol. 523(7561), pages 455-458, July.
    3. L. Duncan & H. Shen & B. Gelaye & J. Meijsen & K. Ressler & M. Feldman & R. Peterson & B. Domingue, 2019. "Analysis of polygenic risk score usage and performance in diverse human populations," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
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    1. Injeong Shim & Hiroyuki Kuwahara & NingNing Chen & Mais O. Hashem & Lama AlAbdi & Mohamed Abouelhoda & Hong-Hee Won & Pradeep Natarajan & Patrick T. Ellinor & Amit V. Khera & Xin Gao & Fowzan S. Alkur, 2023. "Clinical utility of polygenic scores for cardiometabolic disease in Arabs," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Rozaimi Mohamad Razali & Juan Rodriguez-Flores & Mohammadmersad Ghorbani & Haroon Naeem & Waleed Aamer & Elbay Aliyev & Ali Jubran & Andrew G. Clark & Khalid A. Fakhro & Younes Mokrab, 2021. "Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes," Nature Communications, Nature, vol. 12(1), pages 1-16, December.

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