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Genome-wide association study of type 2 diabetes in Africa.

Authors :
Chen J
Sun M
Adeyemo A
Pirie F
Carstensen T
Pomilla C
Doumatey AP
Chen G
Young EH
Sandhu M
Morris AP
Barroso I
McCarthy MI
Mahajan A
Wheeler E
Rotimi CN
Motala AA
Source :
Diabetologia [Diabetologia] 2019 Jul; Vol. 62 (7), pp. 1204-1211. Date of Electronic Publication: 2019 May 02.
Publication Year :
2019

Abstract

Aims/hypothesis: Genome-wide association studies (GWAS) for type 2 diabetes have uncovered >400 risk loci, primarily in populations of European and Asian ancestry. Here, we aimed to discover additional type 2 diabetes risk loci (including African-specific variants) and fine-map association signals by performing genetic analysis in African populations.<br />Methods: We conducted two type 2 diabetes genome-wide association studies in 4347 Africans from South Africa, Nigeria, Ghana and Kenya and meta-analysed both studies together. Likely causal variants were identified using fine-mapping approaches.<br />Results: The most significantly associated variants mapped to the widely replicated type 2 diabetes risk locus near TCF7L2 (p = 5.3 × 10 <superscript>-13</superscript> ). Fine-mapping of the TCF7L2 locus suggested one type 2 diabetes association signal shared between Europeans and Africans (indexed by rs7903146) and a distinct African-specific signal (indexed by rs17746147). We also detected one novel signal, rs73284431, near AGMO (p = 5.2 × 10 <superscript>-9</superscript> , minor allele frequency [MAF] = 0.095; monomorphic in most non-African populations), distinct from previously reported signals in the region. In analyses focused on 100 published type 2 diabetes risk loci, we identified 21 with shared causal variants in African and non-African populations.<br />Conclusions/interpretation: These results demonstrate the value of performing GWAS in Africans, provide a resource to larger consortia for further discovery and fine-mapping and indicate that additional large-scale efforts in Africa are warranted to gain further insight in to the genetic architecture of type 2 diabetes.

Details

Language :
English
ISSN :
1432-0428
Volume :
62
Issue :
7
Database :
MEDLINE
Journal :
Diabetologia
Publication Type :
Academic Journal
Accession number :
31049640
Full Text :
https://doi.org/10.1007/s00125-019-4880-7