medRxiv : the preprint server for health sciences · 2026
Genetic relatedness of Cambodian Plasmodium falciparum isolates is driven by geography and occupation.
СтатьяПрепринтНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Rowley Emma, Guo Bing, Wojnarski Mariusz, Spring Michele D, Sriwichai Sabaithip, Vesely Brian A, Silva Joana C, Waters Norman C, Thaloengsok Sasikanya, Saingam Piyaporn, Chaisatit Chaiyaporn, Lertsethtakarn Paphavee, Sok Somethy, Prom Satharath, Chaudhury Sidhartha, Lon Chanthap, Lek Dysoley, Saunders David, O'Connor Timothy D, Takala-Harrison Shannon
Аннотация
BACKGROUND: Cambodia 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.
METHODS: We 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.
RESULTS: Mean IBD sharing was high (40%), with greater relatedness among isolates from Oddar Meanchey than from Kratie province (p<2.2e-16). Within Oddar Meanchey, isolates from individuals with different occupations shared 7.2% less of their genome IBD than farmer pairs (probability of direction (pd)=99.9), after adjusting for age. Highly related clusters (>90% 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).
CONCLUSIONS: High 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.
METHODS: We 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.
RESULTS: Mean IBD sharing was high (40%), with greater relatedness among isolates from Oddar Meanchey than from Kratie province (p<2.2e-16). Within Oddar Meanchey, isolates from individuals with different occupations shared 7.2% less of their genome IBD than farmer pairs (probability of direction (pd)=99.9), after adjusting for age. Highly related clusters (>90% 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).
CONCLUSIONS: High 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.