| Literature DB >> 31675503 |
Deepti Gurdasani1, Tommy Carstensen2, Segun Fatumo3, Guanjie Chen4, Chris S Franklin5, Javier Prado-Martinez5, Heleen Bouman5, Federico Abascal5, Marc Haber5, Ioanna Tachmazidou6, Iain Mathieson7, Kenneth Ekoru8, Marianne K DeGorter9, Rebecca N Nsubuga10, Chris Finan5, Eleanor Wheeler11, Li Chen5, David N Cooper12, Stephan Schiffels13, Yuan Chen5, Graham R S Ritchie5, Martin O Pollard5, Mary D Fortune5, Alex J Mentzer14, Erik Garrison5, Anders Bergström5, Konstantinos Hatzikotoulas15, Adebowale Adeyemo4, Ayo Doumatey4, Heather Elding5, Louise V Wain16, Georg Ehret17, Paul L Auer18, Charles L Kooperberg19, Alexander P Reiner20, Nora Franceschini21, Dermot Maher10, Stephen B Montgomery22, Carl Kadie23, Chris Widmer24, Yali Xue5, Janet Seeley25, Gershim Asiki10, Anatoli Kamali10, Elizabeth H Young26, Cristina Pomilla26, Nicole Soranzo27, Eleftheria Zeggini28, Fraser Pirie29, Andrew P Morris30, David Heckerman24, Chris Tyler-Smith31, Ayesha A Motala32, Charles Rotimi33, Pontiano Kaleebu34, Inês Barroso35, Manj S Sandhu36.
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.Entities:
Mesh:
Year: 2019 PMID: 31675503 PMCID: PMC7202134 DOI: 10.1016/j.cell.2019.10.004
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582