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The African Genome Variation Project shapes medical genetics in Africa

Authors :
Gurdasani, Deepti
Carstensen, Tommy
Tekola-Ayele, Fasil
Pagani, Luca
Tachmazidou, Ioanna
Hatzikotoulas, Konstantinos
Karthikeyan, Savita
Iles, Louise
Pollard, Martin O
Choudhury, Ananyo
Ritchie, Graham RS
Xue, Yali
Asimit, Jennifer
Nsubuga, Rebecca N
Young, Elizabeth H
Pomilla, Cristina
Kivinen, Katja
Rockett, Kirk
Kamali, Anatoli
Doumatey, Ayo P
Asiki, Gershim
Seeley, Janet
Sisay-Joof, Fatoumatta
Jallow, Muminatou
Tollman, Stephen
Mekonnen, Ephrem
Ekong, Rosemary
Oljira, Tamiru
Bradman, Neil
Bojang, Kalifa
Ramsay, Michele
Adeyemo, Adebowale
Bekele, Endashaw
Motala, Ayesha
Norris, Shane A
Pirie, Fraser
Kaleebu, Pontiano
Kwiatkowski, Dominic
Tyler-Smith, Chris
Rotimi, Charles
Zeggini, Eleftheria
Sandhu, Manjinder S
Publisher :
Springer Science and Business Media LLC

Abstract

Given the importance of Africa to studies of human origins and disease susceptibility, detailed characterization of African genetic diversity is needed. The African Genome Variation Project provides a resource with which to design, implement and interpret genomic studies in sub-Saharan Africa and worldwide. The African Genome Variation Project represents dense genotypes from 1,481 individuals and whole-genome sequences from 320 individuals across sub-Saharan Africa. Using this resource, we find novel evidence of complex, regionally distinct hunter-gatherer and Eurasian admixture across sub-Saharan Africa. We identify new loci under selection, including loci related to malaria susceptibility and hypertension. We show that modern imputation panels (sets of reference genotypes from which unobserved or missing genotypes in study sets can be inferred) can identify association signals at highly differentiated loci across populations in sub-Saharan Africa. Using whole-genome sequencing, we demonstrate further improvements in imputation accuracy, strengthening the case for large-scale sequencing efforts of diverse African haplotypes. Finally, we present an efficient genotype array design capturing common genetic variation in Africa.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........60fbca70cf446c29c18deb5cda22e954