Epigenetic scores for the circulating proteome as tools for disease prediction

  1. Danni A Gadd
  2. Robert F Hillary
  3. Daniel L McCartney
  4. Shaza B Zaghlool
  5. Anna J Stevenson
  6. Yipeng Cheng
  7. Chloe Fawns-Ritchie
  8. Cliff Nangle
  9. Archie Campbell
  10. Robin Flaig
  11. Sarah E Harris
  12. Rosie M Walker
  13. Liu Shi
  14. Elliot M Tucker-Drob
  15. Christian Gieger
  16. Annette Peters
  17. Melanie Waldenberger
  18. Johannes Graumann
  19. Allan F McRae
  20. Ian J Deary
  21. David J Porteous
  22. Caroline Hayward
  23. Peter M Visscher
  24. Simon R Cox
  25. Kathryn L Evans
  26. Andrew M McIntosh
  27. Karsten Suhre
  28. Riccardo E Marioni  Is a corresponding author
  1. University of Edinburgh, United Kingdom
  2. Virginia Tech, United States
  3. University of Oxford, United Kingdom
  4. The University of Texas at Austin, United States
  5. Helmholtz Zentrum München, Germany
  6. Max Planck Institute for Heart and Lung Research, Germany
  7. University of Queensland, Australia
  8. The University of Edinburgh, United Kingdom
  9. Weill Cornell Medical College in Qatar, Qatar
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  1. Danni A Gadd
  2. Robert F Hillary
  3. Daniel L McCartney
  4. Shaza B Zaghlool
  5. Anna J Stevenson
  6. Yipeng Cheng
  7. Chloe Fawns-Ritchie
  8. Cliff Nangle
  9. Archie Campbell
  10. Robin Flaig
  11. Sarah E Harris
  12. Rosie M Walker
  13. Liu Shi
  14. Elliot M Tucker-Drob
  15. Christian Gieger
  16. Annette Peters
  17. Melanie Waldenberger
  18. Johannes Graumann
  19. Allan F McRae
  20. Ian J Deary
  21. David J Porteous
  22. Caroline Hayward
  23. Peter M Visscher
  24. Simon R Cox
  25. Kathryn L Evans
  26. Andrew M McIntosh
  27. Karsten Suhre
  28. Riccardo E Marioni
(2022)
Epigenetic scores for the circulating proteome as tools for disease prediction
eLife 11:e71802.
https://doi.org/10.7554/eLife.71802