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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, JC
Bressler, J
Chouraki, V
Giddaluru, S
Hofer, E
Ibrahim-Verbaas, CA
Kirin, M
Lahti, J
Van Der Lee, SJ
Le Hellard, S
Liu, T
Marioni, RE
Oldmeadow, C
Postmus, I
Smith, AV
Smith, JA
Thalamuthu, A
Thomson, R
Vitart, V
Wang, J
Yu, L
Zgaga, L
Zhao, W
Boxall, R
Harris, SE
Hill, WD
Liewald, DC
Luciano, M
Adams, H
Ames, D
Amin, N
Amouyel, P
Assareh, AA
Au, R
Becker, JT
Beiser, A
Berr, C
Bertram, L
Boerwinkle, E
Buckley, BM
Campbell, H
Corley, J
De Jager, PL
Dufouil, C
Eriksson, JG
Espeseth, T
Faul, JD
Ford, I
Scotland, G
Gottesman, RF
Griswold, ME
Gudnason, V
Harris, TB
Heiss, G
Hofman, A
Holliday, EG
Huffman, J
Kardia, SLR
Kochan, N
Knopman, DS
Kwok, JB
Lambert, JC
Lee, T
Li, G
Li, SC
Loitfelder, M
Lopez, OL
Lundervold, AJ
Lundqvist, A
Mather, KA
Mirza, SS
Nyberg, L
Oostra, BA
Palotie, A
Papenberg, G
Pattie, A
Petrovic, K
Polasek, O
Psaty, BM
Redmond, P
Reppermund, S
Rotter, JI
Schmidt, H
Schuur, M
Schofield, PW
Scott, RJ
Steen, VM
Stott, DJ
Van Swieten, JC
Taylor, KD
Trollor, J
Trompet, S
Uitterlinden, AG
Weinstein, G
Widen, E
Windham, BG
Jukema, JW
Wright, AF
Davies, G
Armstrong, N
Bis, JC
Bressler, J
Chouraki, V
Giddaluru, S
Hofer, E
Ibrahim-Verbaas, CA
Kirin, M
Lahti, J
Van Der Lee, SJ
Le Hellard, S
Liu, T
Marioni, RE
Oldmeadow, C
Postmus, I
Smith, AV
Smith, JA
Thalamuthu, A
Thomson, R
Vitart, V
Wang, J
Yu, L
Zgaga, L
Zhao, W
Boxall, R
Harris, SE
Hill, WD
Liewald, DC
Luciano, M
Adams, H
Ames, D
Amin, N
Amouyel, P
Assareh, AA
Au, R
Becker, JT
Beiser, A
Berr, C
Bertram, L
Boerwinkle, E
Buckley, BM
Campbell, H
Corley, J
De Jager, PL
Dufouil, C
Eriksson, JG
Espeseth, T
Faul, JD
Ford, I
Scotland, G
Gottesman, RF
Griswold, ME
Gudnason, V
Harris, TB
Heiss, G
Hofman, A
Holliday, EG
Huffman, J
Kardia, SLR
Kochan, N
Knopman, DS
Kwok, JB
Lambert, JC
Lee, T
Li, G
Li, SC
Loitfelder, M
Lopez, OL
Lundervold, AJ
Lundqvist, A
Mather, KA
Mirza, SS
Nyberg, L
Oostra, BA
Palotie, A
Papenberg, G
Pattie, A
Petrovic, K
Polasek, O
Psaty, BM
Redmond, P
Reppermund, S
Rotter, JI
Schmidt, H
Schuur, M
Schofield, PW
Scott, RJ
Steen, VM
Stott, DJ
Van Swieten, JC
Taylor, KD
Trollor, J
Trompet, S
Uitterlinden, AG
Weinstein, G
Widen, E
Windham, BG
Jukema, JW
Wright, AF
Publication Year :
2015

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.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1031068185
Document Type :
Electronic Resource