Edinburgh Research Explorer

GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: A report from the COGENT consortium

Research output: Contribution to journalArticle

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

Related Edinburgh Organisations

Open Access permissions



  • Download as Adobe PDF

    Final published version, 340 KB, PDF document

    Licence: Creative Commons: Attribution (CC-BY)

Original languageEnglish
Pages (from-to)336-345
JournalMolecular Psychiatry
Early online date17 Jan 2017
Publication statusE-pub ahead of print - 17 Jan 2017


The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (~8M single nucleotide polymorphisms with minor allele frequency≥1%) to general cognitive function in a sample of 35,298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). Additionally, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genomewide significance level (P<5⨯10-8). Gene-based analysis identified an additional three Bonferroni-corrected significant loci at chromosomes 17q21.31, 17p13.1, and 1p13.3. Altogether, common variation across the genome resulted in a conservatively estimated SNP heritability of 21.5% (s.e. = .01%) for general cognitive function. Integration with prior GWAS of cognitive performance and educational attainment yielded several additional significant loci. Finally, we found robust polygenic correlations between cognitive performance and educational attainment, several psychiatric disorders, birth length/weight, and smoking behavior, as well as a novel genetic association to the personality trait of openness. These data provide new insight into the genetics of neurocognitive function with relevance to understanding the pathophysiology of neuropsychiatric illness.  

Download statistics

No data available

ID: 29636014