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

Title: GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium
Authors: Trampush, JW; Yang, MLZ; Yu, J; Knowles, E; Davies, G; Liewald, DC; Starr, JM; Djurovic, S; Melle, I; Sundet, K; Christoforou, A; Reinvang, I; DeRosse, P; Lundervold, AJ; Steen, VM; Espeseth, T; Räikkönen, K; Widen, E; Palotie, A; Eriksson, JG; Giegling, I; Konte, B; Roussos, P; Giakoumaki, S; Burdick, KE; Payton, A; Ollier, W; Horan, M; Chiba-Falek, O; Attix, DK; Need, AC; Cirulli, ET; Voineskos, AN; Stefanis, NC; Avramopoulos, D; Hatzimanolis, A; Arking, DE; Smyrnis, N; Bilder, RM; Freimer, NA; Cannon, TD; London, E; Poldrack, RA; Sabb, FW; Congdon, E; Conley, ED; Scult, MA; Dickinson, D; Straub, RE; Donohoe, G; Morris, D; Corvin, A; Gill, M; Hariri, AR; Weinberger, DR; Pendleton, N; Bitsios, P; Rujescu, D; Lahti, J; Le Hellard, S; Keller, MC; Andreassen, OA; Deary, IJ; Glahn, DC; Malhotra, AK; Lencz, T
Source: Molecular Psychiatry, vol 22, iss 3
Publisher Information: eScholarship, University of California
Publication Year: 2017
Collection: University of California: eScholarship
Subject Terms: 32 Biomedical and Clinical Sciences (for-2020); 5202 Biological Psychology (for-2020); 5203 Clinical and Health Psychology (for-2020); 3202 Clinical Sciences (for-2020); 52 Psychology (for-2020); Basic Behavioral and Social Science (rcdc); Prevention (rcdc); Human Genome (rcdc); Brain Disorders (rcdc); Mental Health (rcdc); Behavioral and Social Science (rcdc); Biotechnology (rcdc); Genetics (rcdc); 2.1 Biological and endogenous factors (hrcs-rac); Adult (mesh); Alleles (mesh); Cognition (mesh); Female (mesh); Gene Frequency (mesh); Genetic Association Studies (mesh); Genetic Loci (mesh); Genetic Predisposition to Disease (mesh); Genetic Variation (mesh); Genome-Wide Association Study (mesh); Humans (mesh); Male (mesh); Middle Aged (mesh); Multifactorial Inheritance (mesh); Neurocognitive Disorders (mesh); Polymorphism
Subject Geographic: 336 - 345
Description: 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
Document Type: article in journal/newspaper
File Description: application/pdf
Language: unknown
Relation: qt2qj7x9fw; https://escholarship.org/uc/item/2qj7x9fw; https://escholarship.org/content/qt2qj7x9fw/qt2qj7x9fw.pdf
DOI: 10.1038/mp.2016.244
Availability: https://escholarship.org/uc/item/2qj7x9fw; https://escholarship.org/content/qt2qj7x9fw/qt2qj7x9fw.pdf; https://doi.org/10.1038/mp.2016.244
Rights: CC-BY
Accession Number: edsbas.6D98DF04
Database: BASE