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Elsevier, European Neuropsychopharmacology, (27), p. S493

DOI: 10.1016/j.euroneuro.2016.09.587

Springer Nature [academic journals on nature.com], Molecular Psychiatry, 3(22), p. 336-345

DOI: 10.1038/mp.2016.244

Springer Nature [academic journals on nature.com], Molecular Psychiatry, 11(22), p. 1651-1652

DOI: 10.1038/mp.2017.197

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

Journal article published in 2017 by J. W. Trampush, M. L. Z. Yang, Trampush Jw, J. Yu, E. Knowles, D. C. Liewald, G. Davies, Yang Ml, J. M. Starr, S. Djurovic, I. Melle, K. Sundet, A. Christoforou, A. J. Lundervold, I. Reinvang and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

IN_PRESS ; Export Date: 27 January 2017 Article in Press ; 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 (SNP) 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). In addition, 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 genome-wide significance level (P