Functional analysis of genome-wide dataset from 17000 individuals identifies multiple candidate malaria resistance genes enriched in malaria pathogenic pathways
Delesa Damena, Francis Edem Agamah, Peter Opiyo Kimathi, Ntumba E. Kabongo, Hundaol Girma, Wonderful Tatenda Choga, Lemu Golassa, Emile Rugamika Chimusa
The paper identifies 57 and 125 candidate genes for severe malaria resistance using GWAS data from 17,000 individuals, finding enrichment in malaria pathogenic pathways.
Frontiers in Genetics · Nov 18, 2021Peer-reviewedGenetic & Genomic Medicine