@article{Trampush2017, abstract = {Abstract 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<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.=0.01%) 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.}, author = {Trampush, J. W. and Yang, M. L. Z. and Jw, Trampush and Yu, J. and Knowles, E. and Davies, G. and Liewald, D. C. and Ml, Yang and Starr, J. M. and Djurovic, S. and Melle, I. and Sundet, K. and Christoforou, A. and Reinvang, I. and DeRosse, P. and Lundervold, A. J. and Steen, V. M. and Dc, Liewald and Espeseth, T. and Jm, Starr and Räikkönen, K. and Widen, E. and Palotie, A. and Eriksson, J. G. and Giegling, I. and Konte, B. and Roussos, P. and Giakoumaki, S. and Burdick, K. E. and Payton, A. and Ollier, W. and Horan, M. and Chiba-Falek, O. and Attix, D. K. and Need, A. C. and Cirulli, E. T. and Voineskos, A. N. and Stefanis, N. C. and Avramopoulos, D. and Hatzimanolis, A. and Arking, D. E. and Smyrnis, N. and Bilder, R. M. and Freimer, N. A. and Cannon, T. D. and London, E. and Poldrack, R. A. and Sabb, F. W. and Congdon, E. and Aj, Lundervold and Conley, E. D. and Scult, M. A. and Dickinson, D. and Straub, R. E. and Vm, Steen and Donohoe, Gary and Morris, D. and Corvin, A. and Gill, M. and Hariri, A. R. and Weinberger, D. R. and Pendleton, N. and Bitsios, P. and Rujescu, D. and Lahti, J. and Le Hellard, S. and Keller, M. C. and Andreassen, O. A. and Deary, I. J. and Glahn, D. C. and Malhotra, A. K. and Consortium, Cogent and Lencz, Todd and Jg, Eriksson}, doi = {10.1038/mp.2017.197}, journal = {European Neuropsychopharmacology}, month = {jan}, pages = {S493}, title = {GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium}, url = {https://doi.org/10.1016/j.euroneuro.2016.09.587}, volume = {27}, year = {2017} }