Quantifying connectivity between local Plasmodium falciparum malaria parasite populations using identity by descent.
Ontology highlight
ABSTRACT: With the rapidly increasing abundance and accessibility of genomic data, there is a growing interest in using population genetic approaches to characterize fine-scale dispersal of organisms, providing insight into biological processes across a broad range of fields including ecology, evolution and epidemiology. For sexually recombining haploid organisms such as the human malaria parasite P. falciparum, however, there have been no systematic assessments of the type of data and methods required to resolve fine scale connectivity. This analytical gap hinders the use of genomics for understanding local transmission patterns, a crucial goal for policy makers charged with eliminating this important human pathogen. Here we use data collected from four clinics with a catchment area spanning approx
SUBMITTER: Taylor AR
PROVIDER: S-EPMC5678785 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA