Emile R. Chimusa

TL;DR: The findings refine the current understanding of continental migration, identify gene flow and the response to human disease as strong drivers of genome-level population variation, and underscore the scientific imperative for a broader characterization of the genomic diversity of African individuals to understand human ancestry and improve health.

TL;DR: It is demonstrated that the genetic contribution to TB risk varies between continental populations, and the value of including admixed populations in studies of TB risk and other complex phenotypes is illustrated, and case-only admixture mapping is currently impractical in multi-way admixture populations due to spurious deviations in average local ancestry generated by current local ancestry inference methods.

TL;DR: Whole genome sequencing of 24 South African individuals of different ethnolinguistic origin reveals extensive genomic diversity, increasing the understanding of the complex and region-specific history of African populations and highlighting its potential impact on biomedical research and genetic susceptibility to disease.

TL;DR: An overview of various computational methods and tools applied in predicting or validating drug targets and drug-like molecules is presented and might guide researchers on selecting the most efficient approach or technique during the computational drug discovery process.

TL;DR: It is shown that a panel of 96 AIMs can be used to assess ancestry proportions and to adjust for the confounding effect of the complex five-way admixture that occurred in the South African Coloured population.