bioRxivGeneticsPreprint
Adaptive admixture at ACKR1 (the Duffy locus) may have shaped Plasmodium vivax prevalence in Oman
Paige E. HaffeneriD, Arwa Z. Al‐RiyamiiD, Shoaib Al‐ZadjaliiD, George BusbyiD, Sulaiman Al Mahdhuri, Mohammed Al‐Rawahi, Saif Al Hosni, Ali Al‐Marhoobi, Ammar Al Sheriyani, Ellen Miranda LeffleriD
Abstract
Malaria in humans is largely caused by two divergent species of Plasmodium parasites, P. vivax and P. falciparum, both of which have driven the spread of protective alleles in human populations. Notably, an erythrocyte-specific Duffy null allele (FyES) confers resistance to P. vivax malaria and has been identified as a target of strong, recent positive selection in multiple African admixed populations. Here, we evaluate evidence for selection via adaptive admixture in Oman, where compared to neighboring countries, P. vivax has recently been less common. Genetic ancestry inference using whole genome sequence data from 100 Omanis suggests 9.8% (95% CI: 7.3-12.2%) of their genetic ancestry is shared with east Africa. At the Duffy locus, we find a high frequency of FyES and an increase to 76% African ancestry. Comparing with blood group serology for the same individuals, we identify an additional Duffy-null allele that is rare but present across multiple Arabian Peninsula (AP) populations. Finally, we estimate the selection coefficient at FyES as 0.031 (95% CI: 0.029-0.034) with likely introduction at least 59 generations ago, older than estimates in other African admixed populations. Although we also observe higher frequency of some P. falciparum-protective alleles in Oman than in other AP populations, African ancestry is not enriched indicating a lack of evidence for adaptive admixture driven by P. falciparum selective pressure. Together, our analyses suggest that Omans long history with east African populations resulted in early introduction and selection for Duffy null alleles and may have influenced the prevalence of P. vivax in the region.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 1
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