Nature Communications (May 2022)

Meta-analysis of sub-Saharan African studies provides insights into genetic architecture of lipid traits

  • Ananyo Choudhury,
  • Jean-Tristan Brandenburg,
  • Tinashe Chikowore,
  • Dhriti Sengupta,
  • Palwende Romuald Boua,
  • Nigel J. Crowther,
  • Godfred Agongo,
  • Gershim Asiki,
  • F. Xavier Gómez-Olivé,
  • Isaac Kisiangani,
  • Eric Maimela,
  • Matshane Masemola-Maphutha,
  • Lisa K. Micklesfield,
  • Engelbert A. Nonterah,
  • Shane A. Norris,
  • Hermann Sorgho,
  • Halidou Tinto,
  • Stephen Tollman,
  • Sarah E. Graham,
  • Cristen J. Willer,
  • AWI-Gen study,
  • H3Africa Consortium,
  • Scott Hazelhurst,
  • Michèle Ramsay

DOI
https://doi.org/10.1038/s41467-022-30098-w
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Genetic associations and polygenic scores for lipid traits have low transferability to African individuals. Here, the authors perform a large sub-Sarahan African lipid GWAS and find that larger datasets and better global representation in discovery GWAS help to bridge this gap.