학술논문

Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N = 53 949)
Document Type
Academic Journal
Author
Davies, GArmstrong, NBis, J CBressler, JChouraki, VGiddaluru, SHofer, EIbrahim-Verbaas, C AKirin, MLahti, Jvan der Lee, S JLe Hellard, SLiu, TMarioni, R EOldmeadow, CPostmus, ISmith, A VSmith, J AThalamuthu, AThomson, RVitart, VWang, JYu, LZgaga, LZhao, WBoxall, RHarris, S EHill, W DLiewald, D CLuciano, MAdams, HAmes, DAmin, NAmouyel, PAssareh, A AAu, RBecker, J TBeiser, ABerr, CBertram, LBoerwinkle, EBuckley, B MCampbell, HCorley, JDe Jager, P LDufouil, CEriksson, J GEspeseth, TFaul, J DFord, IScotland, GenerationGottesman, R FGriswold, M EGudnason, VHarris, T BHeiss, GHofman, AHolliday, E GHuffman, JKardia, S LRKochan, NKnopman, D SKwok, J BLambert, J-CLee, TLi, GLi, S-CLoitfelder, MLopez, O LLundervold, A JLundqvist, AMather, K AMirza, S SNyberg, LOostra, B APalotie, APapenberg, GPattie, APetrovic, KPolasek, OPsaty, B MRedmond, PReppermund, SRotter, J ISchmidt, HSchuur, MSchofield, P WScott, R JSteen, V MStott, D Jvan Swieten, J CTaylor, K DTrollor, JTrompet, SUitterlinden, A GWeinstein, GWiden, EWindham, B GJukema, J WWright, A FWright, M JYang, QAmieva, HAttia, J RBennett, D ABrodaty, Hde Craen, A JMHayward, CIkram, M ALindenberger, UNilsson, L-GPorteous, D JRäikkönen, KReinvang, IRudan, ISachdev, P SSchmidt, RSchofield, P RSrikanth, VStarr, J MTurner, S TWeir, D RWilson, J Fvan Duijn, CLauner, LFitzpatrick, A LSeshadri, SMosley, TH, Jr; Deary, I J
Source
Molecular Psychiatry. Feb 01, 2015 20(2):183-192
Subject
Language
English
ISSN
1359-4184
Abstract
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N = 53 949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P = 3.93 × 10, MIR2113; rs17522122, P = 2.55 × 10, AKAP6; rs10119, P = 5.67 × 10, APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P = 1 × 10). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N = 6617) and the Health and Retirement Study (N = 5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e. = 5%) and 28% (s.e. = 7%), respectively. Using polygenic prediction analysis, ~ 1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N = 5487; P = 1.5 × 10). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimerʼs disease: TOMM40, APOE, ABCG1 and MEF2C.