Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria

  1. Day, F.
  2. Karaderi, T.
  3. Jones, M.R.
  4. Meun, C.
  5. He, C.
  6. Drong, A.
  7. Kraft, P.
  8. Lin, N.
  9. Huang, H.
  10. Broer, L.
  11. Magi, R.
  12. Saxena, R.
  13. Laisk, T.
  14. Urbanek, M.
  15. Hayes, M.G.
  16. Thorleifsson, G.
  17. Fernandez-Tajes, J.
  18. Mahajan, A.
  19. Mullin, B.H.
  20. Stuckey, B.G.A.
  21. Spector, T.D.
  22. Wilson, S.G.
  23. Goodarzi, M.O.
  24. Davis, L.
  25. Obermayer-Pietsch, B.
  26. Uitterlinden, A.G.
  27. Anttila, V.
  28. Neale, B.M.
  29. Jarvelin, M.-R.
  30. Fauser, B.
  31. Kowalska, I.
  32. Visser, J.A.
  33. Andersen, M.
  34. Ong, K.
  35. Stener-Victorin, E.
  36. Ehrmann, D.
  37. Legro, R.S.
  38. Salumets, A.
  39. McCarthy, M.I.
  40. Morin-Papunen, L.
  41. Thorsteinsdottir, U.
  42. Stefansson, K.
  43. Styrkarsdottir, U.
  44. Perry, J.R.B.
  45. Dunaif, A.
  46. Laven, J.
  47. Franks, S.
  48. Lindgren, C.M.
  49. Welt, C.K.
  50. Show all authors +
Journal:
PLoS Genetics

ISSN: 1553-7404,  1553-7390

Year of publication: 2018

Volume: 14

Issue: 12

Type: Article

DOI: 10.1371/JOURNAL.PGEN.1007813 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus