medRxivGenetic & Genomic MedicinePreprint
Genetic relatedness of Cambodian Plasmodium falciparum isolates is driven by geography and occupation
Emma Rowley, Bing GuoiD, Mariusz WojnarskiiD, Michele SpringiD, Sabaithip Sriwichai, Brian A. VeselyiD, Joana Silva, Norman C. Waters, Sasikanya Thaloengsok, Piyaporn Saingam, Chaiyaporn ChaisatitiD, Paphavee LertsethtakarniD, Somethy Sok, Satharath Prom, Sidhartha ChaudhuryiD, Chanthap LoniD, Dysoley Lek, David SaundersiD, Timothy D. O’ConnoriD, Shannon Takala‐HarrisoniD
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Abstract
BackgroundCambodia is nearing Plasmodium falciparum elimination, but targeted interventions are needed to prevent resurgence. Identity-by-descent (IBD)-based methods offer insight into parasite relatedness and transmission dynamics. MethodsWe estimated pairwise genetic relatedness between 107 P. falciparum isolates collected from military personnel and farmers in Cambodia between 2014 and 2016. All isolates underwent whole genome sequencing. Relatedness was defined as the proportion of the genome shared IBD between isolates. We evaluated associations between relatedness and epidemiologic factors, including occupation, location, time, age, and sex. Infomap community detection was used to identify clusters of highly related parasites and their association with covariates. ResultsMean IBD sharing was high (40%), with greater relatedness among isolates from Oddar Meanchey than from Kratie province (p90% IBD) were associated with occupation, K13 mutation (C580Y vs. R539T), and PfCRT mutation (p= 0.0025, 0.0001, and 0.0001, respectively). Isolates from mixed-occupation pairs had lower odds of high relatedness (>90% IBD) than pairs from farmers (pd=0.958). ConclusionsHigh overall IBD sharing may reflect a combination of recent elimination efforts and expansion of drug-resistant lineages. Substantial differences in relatedness between provinces underscore the role of geography in shaping relatedness patterns. Lower relatedness among mixed-occupation pairs compared to farmer pairs suggests potential occupation-specific transmission sources and supports tailoring interventions to local micro-epidemiologic factors.
- organism: plant (other)
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
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