Uganda genome resource enables insights into population history and genomic discovery in Africa

Deepti Gurdasani, Tommy Carstensen, Segun Fatumo, Guanjie Chen, Chris S. Franklin, Javier Prado-Martinez, Heleen Bouman, Federico Abascal, Marc Haber, Ioanna Tachmazidou, Iain Mathieson, Kenneth Ekoru, Marianne K. DeGorter, Rebecca N. Nsubuga, Chris Finan, Eleanor Wheeler, Li Chen, David N. Cooper, Stephan Schiffels, Yuan ChenGraham R. S. Ritchie, Martin O. Pollard, Mary D. Fortune, Alex J. Mentzer, Erik Garrison, Anders Bergström, Konstantinos Hatzikotoulas, Adebowale Adeyemo, Ayo Doumatey, Heather Elding, Louise V. Wain, George Ehret, Paul L. Auer, Charles L. Kooperberg, Alexander P. Reiner, Nora Franceschini, Dermot Maher, Stephen B. Montgomery, Carl Kadie, Chris Widmer, Yali Xue, Janet Seeley, Gershim Asiki, Anatoli Kamali, Elizabeth H. Young, Cristina Pomilla, Nicole Soranzo, Eleftheria Zeggini, Fraser Pirie, Andrew P. Morris, David Heckerman, Chris Tyler-Smith, Ayesha Motala, Charles Rotimi, Pontiano Kaleebu, Ines Barroso, Manj S. Sandhu

Research output: Contribution to journalArticlepeer-review

113 Citations (Scopus)

Abstract

Genomic studies in African populations provide unique opportunities to understand disease etiology, human diversity, and population history. In the largest study of its kind, comprising genome-wide data from 6,400 individuals and whole-genome sequences from 1,978 individuals from rural Uganda, we find evidence of geographically correlated fine-scale population substructure. Historically, the ancestry of modern Ugandans was best represented by a mixture of ancient East African pastoralists. We demonstrate the value of the largest sequence panel from Africa to date as an imputation resource. Examining 34 cardiometabolic traits, we show systematic differences in trait heritability between European and African populations, probably reflecting the differential impact of genes and environment. In a multi-trait pan-African GWAS of up to 14,126 individuals, we identify novel loci associated with anthropometric, hematological, lipid, and glycemic traits. We find that several functionally important signals are driven by Africa-specific variants, highlighting the value of studying diverse populations across the region.
Original languageEnglish
Pages (from-to)984-1002.e36
Number of pages19
JournalCell
Volume179
Issue number4
DOIs
Publication statusPublished - 31 Oct 2019

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