Please use this identifier to cite or link to this item: https://doi.org/10.1038/mp.2014.188
Title: Genetic contributions to variation in general cognitive function: A meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)
Authors: Davies, G
Armstrong, N
Bis, J.C
Keywords: apolipoprotein E
high mobility group N1 protein
interleukin 15
transfer RNA
high mobility group N1 protein
adult
Article
cell cycle
cell death
cell survival
chromosome 14q
chromosome 19q
chromosome 21
chromosome 6q
cognition
cohort analysis
cytokine production
female
gene frequency
gene linkage disequilibrium
gene location
genetic association
genetic trait
genetic variability
genomics
genotype phenotype correlation
heritability
human
male
middle aged
phenotype
phenotypic variation
priority journal
single nucleotide polymorphism
aged
atherosclerosis
cognition
Cognition Disorders
complication
genetic predisposition
genetics
genome-wide association study
meta analysis
neuropsychological test
physiology
Scotland
very elderly
Aged
Aged, 80 and over
Atherosclerosis
Cognition
Cognition Disorders
Cohort Studies
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
HMGN1 Protein
Humans
Male
Middle Aged
Neuropsychological Tests
Phenotype
Polymorphism, Single Nucleotide
Scotland
Issue Date: 2015
Publisher: Nature Publishing Group
Citation: Davies, G, Armstrong, N, Bis, J.C (2015). Genetic contributions to variation in general cognitive function: A meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949). Molecular Psychiatry 20 (2) : 183-192. ScholarBank@NUS Repository. https://doi.org/10.1038/mp.2014.188
Rights: Attribution 4.0 International
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 × 10-9, MIR2113; rs17522122, P=2.55 × 10-8, AKAP6; rs10119, P=5.67 × 10-9, APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10-6). 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 × 10-17). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C. © 2015 Macmillan Publishers Limited.
Source Title: Molecular Psychiatry
URI: https://scholarbank.nus.edu.sg/handle/10635/180111
ISSN: 1359-4184
DOI: 10.1038/mp.2014.188
Rights: Attribution 4.0 International
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