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Childhood intelligence is heritable, highly polygenic and associated with FNBP1L

Overview of attention for article published in Molecular Psychiatry, January 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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13 news outlets
blogs
9 blogs
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59 X users
facebook
2 Facebook pages
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5 Wikipedia pages
googleplus
1 Google+ user
reddit
2 Redditors
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2 YouTube creators

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344 Mendeley
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Title
Childhood intelligence is heritable, highly polygenic and associated with FNBP1L
Published in
Molecular Psychiatry, January 2013
DOI 10.1038/mp.2012.184
Pubmed ID
Authors

B Benyamin, BSt Pourcain, O S Davis, G Davies, N K Hansell, M-JA Brion, R M Kirkpatrick, R A M Cents, S Franić, M B Miller, C M A Haworth, E Meaburn, T S Price, D M Evans, N Timpson, J Kemp, S Ring, W McArdle, S E Medland, J Yang, S E Harris, D C Liewald, P Scheet, X Xiao, J J Hudziak, E J C de Geus, V W V Jaddoe, J M Starr, F C Verhulst, C Pennell, H Tiemeier, W G Iacono, L J Palmer, G W Montgomery, N G Martin, D I Boomsma, D Posthuma, M McGue, M J Wright, G Davey Smith, I J Deary, R Plomin, P M Visscher

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 59 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 1%
United States 3 <1%
Australia 1 <1%
India 1 <1%
Netherlands 1 <1%
Singapore 1 <1%
Germany 1 <1%
Spain 1 <1%
China 1 <1%
Other 0 0%
Unknown 330 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 19%
Student > Ph. D. Student 46 13%
Student > Bachelor 41 12%
Student > Master 40 12%
Professor 25 7%
Other 74 22%
Unknown 52 15%
Readers by discipline Count As %
Psychology 72 21%
Agricultural and Biological Sciences 62 18%
Medicine and Dentistry 41 12%
Biochemistry, Genetics and Molecular Biology 33 10%
Neuroscience 20 6%
Other 44 13%
Unknown 72 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 203. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 April 2024.
All research outputs
#196,490
of 25,837,817 outputs
Outputs from Molecular Psychiatry
#168
of 4,689 outputs
Outputs of similar age
#1,298
of 293,947 outputs
Outputs of similar age from Molecular Psychiatry
#1
of 47 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.7. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 293,947 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.