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Genome-wide association study of type 2 diabetes in Africa.
Chen, Ji; Sun, Meng; Adeyemo, Adebowale; Pirie, Fraser; Carstensen, Tommy; Pomilla, Cristina; Doumatey, Ayo P; Chen, Guanjie; Young, Elizabeth H; Sandhu, Manjinder; Morris, Andrew P; Barroso, Inês; McCarthy, Mark I; Mahajan, Anubha; Wheeler, Eleanor; Rotimi, Charles N; Motala, Ayesha A.
Affiliation
  • Chen J; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Sun M; Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK.
  • Adeyemo A; Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA.
  • Pirie F; Department of Diabetes and Endocrinology, University of KwaZulu-Natal, Durban, 4013, South Africa.
  • Carstensen T; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Pomilla C; Department of Medicine, University of Cambridge, Cambridge, UK.
  • Doumatey AP; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Chen G; Department of Medicine, University of Cambridge, Cambridge, UK.
  • Young EH; Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA.
  • Sandhu M; Center for Research on Genomics and Global Heath, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, USA.
  • Morris AP; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Barroso I; Department of Medicine, University of Cambridge, Cambridge, UK.
  • McCarthy MI; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
  • Mahajan A; Department of Medicine, University of Cambridge, Cambridge, UK.
  • Wheeler E; Wellcome Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK.
  • Rotimi CN; Department of Biostatistics, University of Liverpool, Liverpool, UK.
  • Motala AA; Wellcome Sanger Institute, Hinxton, Cambridge, UK.
Diabetologia ; 62(7): 1204-1211, 2019 07.
Article in En | MEDLINE | ID: mdl-31049640
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.

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.

RESULTS:

The most significantly associated variants mapped to the widely replicated type 2 diabetes risk locus near TCF7L2 (p = 5.3 × 10-13). 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 × 10-9, 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. 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.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Diabetologia Year: 2019 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diabetes Mellitus, Type 2 / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Diabetologia Year: 2019 Type: Article Affiliation country: United kingdom