Literature DB >> 35217804

Cross-continental admixture in the Kho population from northwest Pakistan.

Asifullah Khan1, Leonardo Vallini2, Shahid Aziz3, Luca Pagani2,4, Shao-Qing Wen5,6, Hizbullah Khan3, Komal Zaib3, Kiran Nigar3, Qasim Ayub7, Ling-Xiang Wang8,9.   

Abstract

Northern Pakistan is home to many diverse ethnicities and languages. The region acted as a prime corridor for ancient invasions and population migrations between Western Eurasia and South Asia. Kho, one of the major ethnic groups living in this region, resides in the remote and isolated mountainous region in the Chitral Valley of the Hindu Kush Mountain range. They are culturally and linguistically distinct from the rest of the Pakistani population groups and their genetic ancestry is still unknown. In this study, we generated genome-wide genotype data of ~1 M loci (Illumina WeGene array) for 116 unrelated Kho individuals and carried out comprehensive analyses in the context of worldwide extant and ancient anatomically modern human populations across Eurasia. The results inferred that the Kho can trace a large proportion of their ancestry to the population who migrated south from the Southern Siberian steppes during the second millennium BCE ~110 generations ago. An additional wave of gene flow from a population carrying East Asian ancestry was also identified in the Kho that occurred ~60 generations ago and may possibly be linked to the expansion of the Tibetan Empire during 7th to 9th centuries CE (current era) in the northwestern regions of the Indian sub-continent. We identified several candidate regions suggestive of positive selection in the Kho, that included genes mainly involved in pigmentation, immune responses, muscular development, DNA repair, and tumor suppression.
© 2022. The Author(s), under exclusive licence to European Society of Human Genetics.

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Year:  2022        PMID: 35217804      PMCID: PMC9178021          DOI: 10.1038/s41431-022-01057-2

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   5.351


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