Evidence map›Paper›PMID 26912939›Full record

ArticleIntelligence

Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences.

W D Hill, G Davies, D C Liewald, A Payton, C J McNeil, L J Whalley, M Horan, W Ollier, J M Starr, N Pendleton and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Intelligence. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. TUSC3: functional duality of a cancer gene.Cellular and molecular life sciences : CMLS · 2018
    Review
  5. Article
  6. A missense mutation in theJournal of medical genetics · 2017
    Article
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

17 authors at 4 institutions in 2 countries.

W D HillCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
G DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
D C LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
A PaytonCentre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK.
C J McNeilAberdeen Biomedical Imaging Centre, University of Aberdeen, UK.
L J WhalleyAberdeen Biomedical Imaging Centre, University of 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.
J M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
N PendletonCentre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK.
N K HanselQIMR, Berghofer Medical Research Institution, Brisbane, Australia.
G W MontgomeryQIMR, Berghofer Medical Research Institution, Brisbane, Australia.
S E MedlandQIMR, Berghofer Medical Research Institution, Brisbane, Australia.
N G MartinQIMR, Berghofer Medical Research Institution, Brisbane, Australia.
M J WrightQIMR, Berghofer Medical Research Institution, Brisbane, Australia.
T C BatesDepartment of Psychology, University of Edinburgh, Edinburgh, UK.
I J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBQIMR Berghofer Medical Research Institute · AUUniversity of Manchester · GBUniversity of Aberdeen · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Biotechnology and Biological Sciences Research Council BB/F022441/1Chief Scientist Office ETM/55Medical Research Council G0700704Medical Research Council G1001375Medical Research Council MR/K026992/1Wellcome Trust
6 · The paper itself

Abstract

Two themes are emerging regarding the molecular genetic aetiology of intelligence. The first is that intelligence is influenced by many variants and those that are tagged by common single nucleotide polymorphisms account for around 30% of the phenotypic variation. The second, in line with other polygenic traits such as height and schizophrenia, is that these variants are not randomly distributed across the genome but cluster in genes that work together. Less clear is whether the very low range of cognitive ability (intellectual disability) is simply one end of the normal distribution describing individual differences in cognitive ability across a population. Here, we examined 40 genes with a known association with non-syndromic autosomal recessive intellectual disability (NS-ARID) to determine if they are enriched for common variants associated with the normal range of intelligence differences. The current study used the 3511 individuals of the Cognitive Ageing Genetics in England and Scotland (CAGES) consortium. In addition, a text mining analysis was used to identify gene sets biologically related to the NS-ARID set. Gene-based tests indicated that genes implicated in NS-ARID were not significantly enriched for quantitative trait loci (QTL) associated with intelligence. These findings suggest that genes in which mutations can have a large and deleterious effect on intelligence are not associated with variation across the range of intelligence differences.

Indexed as

Gene set analysisGeneticsGWASIntellectual disabilities

Identifiers

PMID26912939
PMCPMC4725222
OpenAlexW2216466483

What OpenQuestion holds

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LicenceCC BY
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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.