Main content

Contributors:
  1. Max Lam
  2. Emma Knowles
  3. Srdjan Djurovic
  4. Kjetil Sundet
  5. Andrea Christoforou
  6. Ivar Reinvang
  7. Pamela DeRosse
  8. Vidar M. Steen
  9. Thomas Espeseth
  10. Katri Raikkonen
  11. Elisabeth Widen
  12. Aarno Palotie
  13. Johan G. Eriksson
  14. Ina Giegling
  15. Bettina Konte
  16. Panos Roussos
  17. Katherine E. Burdick
  18. Antony Payton
  19. William Ollier
  20. Ornit Chiba-Falek
  21. Deborah K. Attix
  22. Anna C. Need
  23. Elizabeth T. Cirulli
  24. Aristotle N. Voineskos
  25. Nikos C. Stefanis
  26. Dimitrios Avramopoulos
  27. Alex Hatzimanolis
  28. Dan E Arking
  29. Nikolaos Smyrnis
  30. Nelson A. Freimer
  31. Fred W. Sabb
  32. Eliza Congdon
  33. Emily Drabant Conley
  34. Dwight Dickinson
  35. Richard E. Straub
  36. Gary Donohoe
  37. Derek Morris
  38. Aiden Corvin
  39. Michael Gill
  40. Ahmad R. Hariri
  41. Daniel R. Weinberger
  42. Neil Pendleton
  43. Panos Bitsios
  44. Dan Rujescu
  45. Jari Lahti
  46. Stephanie Le Hellard
  47. Matthew C. Keller
  48. Ole A. Andreassen
  49. David C. Glahn
  50. Anil K. Malhotra

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Hill (2017) presented a critique of our recently published paper in Cell Reports entitled “Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets” (Lam et al. 2017). Specifically, Hill offered several inter-related comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG; Turley et al. 2017). In this brief paper, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from “inflation of the false discovery rate”, as suggested by Hill (2017), and are not “more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence.”

License: CC-By Attribution 4.0 International

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.