Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision

  1. James A Watson  Is a corresponding author
  2. Carolyne M Ndila
  3. Sophie Uyoga
  4. Alexander Macharia
  5. Gideon Nyutu
  6. Shebe Mohammed
  7. Caroline Ngetsa
  8. Neema Mturi
  9. Norbert Peshu
  10. Benjamin Tsofa
  11. Kirk Rockett
  12. Stije Leopold
  13. Hugh Kingston
  14. Elizabeth C George
  15. Kathryn Maitland
  16. Nicholas PJ Day
  17. Arjen M Dondorp
  18. Philip Bejon
  19. Thomas Williams
  20. Chris C Holmes
  21. Nicholas J White
  1. Mahidol Oxford Tropical Medicine Research Unit, Thailand
  2. KEMRI-Wellcome Trust Research Programme, Kenya
  3. Kenya Medical Research Institute-Wellcome Trust Research Programme, Kenya
  4. Wellcome Trust Centre for Human Genetics, United Kingdom
  5. Medical Research Council Clinical Trials Unit, United Kingdom
  6. Mahidol University, Thailand
  7. Kilifi KEMRI-Wellcome Trust Collaborative Research Programme, Kenya
  8. Department of Statistics, University of Oxford, United Kingdom
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  1. James A Watson
  2. Carolyne M Ndila
  3. Sophie Uyoga
  4. Alexander Macharia
  5. Gideon Nyutu
  6. Shebe Mohammed
  7. Caroline Ngetsa
  8. Neema Mturi
  9. Norbert Peshu
  10. Benjamin Tsofa
  11. Kirk Rockett
  12. Stije Leopold
  13. Hugh Kingston
  14. Elizabeth C George
  15. Kathryn Maitland
  16. Nicholas PJ Day
  17. Arjen M Dondorp
  18. Philip Bejon
  19. Thomas Williams
  20. Chris C Holmes
  21. Nicholas J White
(2021)
Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision
eLife 10:e69698.
https://doi.org/10.7554/eLife.69698