Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa
, Chen, G, Franklin, CS, Prado-Martinez, J, Bouman, H, Abascal, F, Haber, M, Tachmazidou, I, Mathieson, I, Ekoru, K, DeGorter, MK, Nsubuga, RN, Finan, C, Wheeler, E, Chen, L, Cooper, DN, Schiffels, S, Chen, Y, Ritchie, GR, Pollard, MO, Fortune, MD, Mentzer, AJ, Garrison, E, Bergström, A, Hatzikotoulas, K, Adeyemo, A, Doumatey, A, Elding, H, Wain, LV, Ehret, G, Auer, PL, Kooperberg, CL, Reiner, AP, Franceschini, N, Maher, DP, Montgomery, SB, Kadie, C, Widmer, C, Xue, Y, Seeley, J, Asiki, G, Kamali, A, Young, EH, Pomilla, C, Soranzo, N, Zeggini, E, Pirie, F, Morris, AP, Heckerman, D, Tyler-Smith, C, Motala, A, Rotimi, C, Kaleebu, P, Barroso, I and Sandhu, MS
(2019).
Uganda Genome Resource Enables Insights into Population History and Genomic Discovery in Africa.
[Dataset].
Cell.
https://doi.org/10.1016/j.cell.2019.10.004
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.
Keywords
Genomic studies| Item Type | Dataset |
|---|---|
| Capture method | Aggregation |
| Date | 31 October 2019 |
| Language(s) of written materials | English |
| Creator(s) |
Gurdasani, D, Carstensen, T, Fatumo, S, Chen, G, Franklin, CS, Prado-Martinez, J, Bouman, H, Abascal, F, Haber, M, Tachmazidou, I, Mathieson, I, Ekoru, K, DeGorter, MK, Nsubuga, RN, Finan, C, Wheeler, E, Chen, L, Cooper, DN, Schiffels, S, Chen, Y, Ritchie, GR, Pollard, MO, Fortune, MD, Mentzer, AJ, Garrison, E, Bergström, A, Hatzikotoulas, K, Adeyemo, A, Doumatey, A, Elding, H, Wain, LV, Ehret, G, Auer, PL, Kooperberg, CL, Reiner, AP, Franceschini, N, Maher, DP, Montgomery, SB, Kadie, C, Widmer, C, Xue, Y, Seeley, J, Asiki, G, Kamali, A, Young, EH, Pomilla, C, Soranzo, N, Zeggini, E, Pirie, F, Morris, AP, Heckerman, D, Tyler-Smith, C, Motala, A, Rotimi, C, Kaleebu, P, Barroso, I and Sandhu, MS
|
| LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 04 Nov 2019 10:41 |
| Last Modified | 08 Jul 2021 12:50 |
| Publisher | Cell |
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