GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: A report from the COGENT consortium
- Trampush, J
- Zhan Yang, ML
- 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
- Raikkonen, K
- Widen, E
- Palotie, A
- Eriksson, G
- 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
DOIAbstract
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...
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