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Childhood intelligence is heritable, highly polygenic and associated with FNBP1L.

Authors :
Benyamin B
Pourcain B
Davis OS
Davies G
Hansell NK
Brion MJ
Kirkpatrick RM
Cents RA
Franić S
Miller MB
Haworth CM
Meaburn E
Price TS
Evans DM
Timpson N
Kemp J
Ring S
McArdle W
Medland SE
Yang J
Harris SE
Liewald DC
Scheet P
Xiao X
Hudziak JJ
de Geus EJ
Jaddoe VW
Starr JM
Verhulst FC
Pennell C
Tiemeier H
Iacono WG
Palmer LJ
Montgomery GW
Martin NG
Boomsma DI
Posthuma D
McGue M
Wright MJ
Davey Smith G
Deary IJ
Plomin R
Visscher PM
Source :
Molecular psychiatry [Mol Psychiatry] 2014 Feb; Vol. 19 (2), pp. 253-8. Date of Electronic Publication: 2013 Jan 29.
Publication Year :
2014

Abstract

Intelligence in childhood, as measured by psychometric cognitive tests, is a strong predictor of many important life outcomes, including educational attainment, income, health and lifespan. Results from twin, family and adoption studies are consistent with general intelligence being highly heritable and genetically stable throughout the life course. No robustly associated genetic loci or variants for childhood intelligence have been reported. Here, we report the first genome-wide association study (GWAS) on childhood intelligence (age range 6-18 years) from 17,989 individuals in six discovery and three replication samples. Although no individual single-nucleotide polymorphisms (SNPs) were detected with genome-wide significance, we show that the aggregate effects of common SNPs explain 22-46% of phenotypic variation in childhood intelligence in the three largest cohorts (P=3.9 × 10(-15), 0.014 and 0.028). FNBP1L, previously reported to be the most significantly associated gene for adult intelligence, was also significantly associated with childhood intelligence (P=0.003). Polygenic prediction analyses resulted in a significant correlation between predictor and outcome in all replication cohorts. The proportion of childhood intelligence explained by the predictor reached 1.2% (P=6 × 10(-5)), 3.5% (P=10(-3)) and 0.5% (P=6 × 10(-5)) in three independent validation cohorts. Given the sample sizes, these genetic prediction results are consistent with expectations if the genetic architecture of childhood intelligence is like that of body mass index or height. Our study provides molecular support for the heritability and polygenic nature of childhood intelligence. Larger sample sizes will be required to detect individual variants with genome-wide significance.

Details

Language :
English
ISSN :
1476-5578
Volume :
19
Issue :
2
Database :
MEDLINE
Journal :
Molecular psychiatry
Publication Type :
Academic Journal
Accession number :
23358156
Full Text :
https://doi.org/10.1038/mp.2012.184