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Multi-Trait Analysis of GWAS and Biological Insights Into Cognition: A Response to Hill (2018).

  • Author(s): Lam, Max
  • Trampush, Joey W
  • Yu, Jin
  • Knowles, Emma
  • Djurovic, Srdjan
  • Melle, Ingrid
  • Sundet, Kjetil
  • Christoforou, Andrea
  • Reinvang, Ivar
  • DeRosse, Pamela
  • Lundervold, Astri J
  • Steen, Vidar M
  • Espeseth, Thomas
  • Räikkönen, Katri
  • Widen, Elisabeth
  • Palotie, Aarno
  • Eriksson, Johan G
  • Giegling, Ina
  • Konte, Bettina
  • Roussos, Panos
  • Giakoumaki, Stella
  • Burdick, Katherine E
  • Payton, Antony
  • Ollier, William
  • Chiba-Falek, Ornit
  • Attix, Deborah K
  • Need, Anna C
  • Cirulli, Elizabeth T
  • Voineskos, Aristotle N
  • Stefanis, Nikos C
  • Avramopoulos, Dimitrios
  • Hatzimanolis, Alex
  • Arking, Dan E
  • Smyrnis, Nikolaos
  • Bilder, Robert M
  • Freimer, Nelson A
  • Cannon, Tyrone D
  • London, Edythe
  • Poldrack, Russell A
  • Sabb, Fred W
  • Congdon, Eliza
  • Conley, Emily Drabant
  • Scult, Matthew A
  • Dickinson, Dwight
  • Straub, Richard E
  • Donohoe, Gary
  • Morris, Derek
  • Corvin, Aiden
  • Gill, Michael
  • Hariri, Ahmad R
  • Weinberger, Daniel R
  • Pendleton, Neil
  • Bitsios, Panos
  • Rujescu, Dan
  • Lahti, Jari
  • Hellard, Stephanie Le
  • Keller, Matthew C
  • Andreassen, Ole A
  • Glahn, David C
  • Malhotra, Anil K
  • Lencz, Todd
  • et al.

Published Web Location

https://pubmed.ncbi.nlm.nih.gov/30001766/
No data is associated with this publication.
Abstract

Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88) 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., Cell Reports, Vol. 21, 2017, 2597-2613). Specifically, Hill offered several interrelated comments suggesting potential problems with our use of a new analytic method called Multi-Trait Analysis of GWAS (MTAG) (Turley et al., Nature Genetics, Vol. 50, 2018, 229-237). In this brief article, we respond to each of these concerns. Using empirical data, we conclude that our MTAG results do not suffer from 'inflation in the FDR [false discovery rate]', as suggested by Hill (Twin Research and Human Genetics, Vol. 21, 2018, 84-88), and are not 'more relevant to the genetic contributions to education than they are to the genetic contributions to intelligence'.

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