Evidence map›Paper›PMID 24399044›Full record

ArticleTranslational psychiatry2014

Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins.

W D Hill, G Davies, L N van de Lagemaat, A Christoforou, R E Marioni, C P D Fernandes, D C Liewald, M D R Croning, A Payton, L C A Craig and 17 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
11.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Pooled it
  5. Article
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  8. Review
  9. Children's Greenness Exposure and IQ-Associated DNA Methylation: A Prospective Cohort Study.International journal of environmental research and public health · 2021
    Article
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  17. Implication of the APP Gene in Intellectual Abilities.Journal of Alzheimer's disease : JAD · 2017
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 9 institutions in 3 countries.

W D HillCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
G Davies1] Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK [2] Medical Genetics Section, The University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital Edinburgh, Edinburgh, UK.
L N van de LagemaatGenes to Cognition Programme, Centre for Clinical Brain Sciences and Centre for Neuroregeneration The University of Edinburgh, Edinburgh, UK.
A Christoforou1] Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway [2] Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway.
R E Marioni1] Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK [2] Medical Genetics Section, The University of Edinburgh Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, Western General Hospital Edinburgh, Edinburgh, UK [3] Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
C P D Fernandes1] Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway [2] Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway.
D C LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
M D R CroningGenes to Cognition Programme, Centre for Clinical Brain Sciences and Centre for Neuroregeneration The University of Edinburgh, Edinburgh, UK.
A PaytonCentre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK.
L C A CraigPublic Health Nutrition Research Group Section of Population Health, University of Aberdeen, Aberdeen, UK.
L J WhalleyInstitute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
M HoranCentre for Clinical and Cognitive Neurosciences, Institute Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK.
W OllierCentre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK.
N K HansellQueensland Institute of Medical Research, Brisbane, QLD, Australia.
M J WrightQueensland Institute of Medical Research, Brisbane, QLD, Australia.
N G MartinQueensland Institute of Medical Research, Brisbane, QLD, Australia.
G W MontgomeryQueensland Institute of Medical Research, Brisbane, QLD, Australia.
V M Steen1] Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway [2] Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway.
S Le Hellard1] Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway [2] Dr E. Martens Research Group for Biological Psychiatry, Department of Clinical Science, University of Bergen, Bergen, Norway.
T Espeseth1] Department of Psychology, University of Oslo, Oslo, Norway [2] KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway.
A J Lundervold1] Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway [2] Kavli Research Centre for Aging and Dementia, Haraldplass Hospital, Bergen, Norway.
I ReinvangDepartment of Psychology, University of Oslo, Oslo, Norway.
J M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
N PendletonCentre for Clinical and Cognitive Neurosciences, Institute Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK.
S G N GrantGenes to Cognition Programme, Centre for Clinical Brain Sciences and Centre for Neuroregeneration The University of Edinburgh, Edinburgh, UK.
T C BatesCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.ORCID 0000000211539007
I J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBHaukeland University Hospital · NOQIMR Berghofer Medical Research Institute · AUUniversity of Manchester · GBUniversity of Aberdeen · GBWestern General Hospital · GBOslo University Hospital · NOUniversity of Bergen · NOUniversity of Oslo · NO

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Biotechnology and Biological Sciences Research Council BB/F022441/1Chief Scientist Office CZB/4/505Chief Scientist Office ETM/55Medical Research Council G0700704Medical Research Council G0802238Medical Research Council MR/K026992/1Wellcome Trust 089703
6 · The paper itself

Abstract

Differences in general cognitive ability (intelligence) account for approximately half of the variation in any large battery of cognitive tests and are predictive of important life events including health. Genome-wide analyses of common single-nucleotide polymorphisms indicate that they jointly tag between a quarter and a half of the variance in intelligence. However, no single polymorphism has been reliably associated with variation in intelligence. It remains possible that these many small effects might be aggregated in networks of functionally linked genes. Here, we tested a network of 1461 genes in the postsynaptic density and associated complexes for an enriched association with intelligence. These were ascertained in 3511 individuals (the Cognitive Ageing Genetics in England and Scotland (CAGES) consortium) phenotyped for general cognitive ability, fluid cognitive ability, crystallised cognitive ability, memory and speed of processing. By analysing the results of a genome wide association study (GWAS) using Gene Set Enrichment Analysis, a significant enrichment was found for fluid cognitive ability for the proteins found in the complexes of N-methyl-D-aspartate receptor complex; P=0.002. Replication was sought in two additional cohorts (N=670 and 2062). A meta-analytic P-value of 0.003 was found when these were combined with the CAGES consortium. The results suggest that genetic variation in the macromolecular machines formed by membrane-associated guanylate kinase (MAGUK) scaffold proteins and their interaction partners contributes to variation in intelligence.

Indexed as

Genome-Wide Association StudyAgedAged, 80 and overCognitionCohort StudiesFemaleGenetic VariationGuanylate KinasesHumansIntelligenceMaleMiddle AgedPhenotypeProteomicsReceptors, N-Methyl-D-AspartateSignal TransductionGuanylate KinasesReceptors, N-Methyl-D-Aspartate

Identifiers

PMID24399044
PMCPMC3905224
OpenAlexW2159372535

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.