Integration of multiomic annotation data to prioritize and characterize inflammation and immune-related risk variants in squamous cell lung cancer

  1. Sun, R.
  2. Xu, M.
  3. Li, X.
  4. Gaynor, S.
  5. Zhou, H.
  6. Li, Z.
  7. Bossé, Y.
  8. Lam, S.
  9. Tsao, M.-S.
  10. Tardon, A.
  11. Chen, C.
  12. Doherty, J.
  13. Goodman, G.
  14. Bojesen, S.E.
  15. Landi, M.T.
  16. Johansson, M.
  17. Field, J.K.
  18. Bickeböller, H.
  19. Wichmann, H.-E.
  20. Risch, A.
  21. Rennert, G.
  22. Arnold, S.
  23. Wu, X.
  24. Melander, O.
  25. Brunnström, H.
  26. Le Marchand, L.
  27. Liu, G.
  28. Andrew, A.
  29. Duell, E.
  30. Kiemeney, L.A.
  31. Shen, H.
  32. Haugen, A.
  33. Johansson, M.
  34. Grankvist, K.
  35. Caporaso, N.
  36. Woll, P.
  37. Dawn Teare, M.
  38. Scelo, G.
  39. Hong, Y.-C.
  40. Yuan, J.-M.
  41. Lazarus, P.
  42. Schabath, M.B.
  43. Aldrich, M.C.
  44. Albanes, D.
  45. Mak, R.
  46. Barbie, D.
  47. Brennan, P.
  48. Hung, R.J.
  49. Amos, C.I.
  50. Christiani, D.C.
  51. Lin, X.
  52. Show all authors +
Journal:
Genetic Epidemiology

ISSN: 1098-2272 0741-0395

Year of publication: 2021

Volume: 45

Issue: 1

Pages: 99-114

Type: Article

DOI: 10.1002/GEPI.22358 GOOGLE SCHOLAR

Sustainable development goals