Evidence map›Paper›PMID 28711986›Full record

ArticleBehavior genetics2017

Single Nucleotide Polymorphisms Associated with Reading Ability Show Connection to Socio-Economic Outcomes.

Michelle Luciano, Saskia P Hagenaars, Simon R Cox, William David Hill, Gail Davies, Sarah E Harris, Ian J Deary, David M Evans, Nicholas G Martin, Margaret J Wright and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Behavior genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Michelle LucianoDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK. michelle.luciano@ed.ac.uk.ORCID 0000-0002-7306-3008
Saskia P HagenaarsDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Simon R CoxDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
William David HillDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Gail DaviesDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Sarah E HarrisDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
Ian J DearyDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
David M EvansUniversity of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD, Australia.
Nicholas G MartinGenetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
Margaret J WrightQueensland Brain Institute, University of Queensland, Brisbane, Australia.
Timothy C BatesDepartment of Psychology, School of Philosophy, Psychology and Language Sciences, Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
University of Edinburgh · GBQIMR Berghofer Medical Research Institute · AUThe University of Queensland · AUTranslational Research Institute · AUWestern General Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1lifelong health and wellbeing initiative MR/K026992/1Medical Research Council G0700704Medical Research Council MC_QA137853Medical Research Council MC_UU_12013/4Medical Research Council MR/K026992/1
6 · The paper itself

Abstract

Impairments in reading and in language have negative consequences on life outcomes, but it is not known to what extent genetic effects influence this association. We constructed polygenic scores for difficulties with language and learning to read from genome-wide data in ~6,600 children, adolescents and young adults, and tested their association with health, socioeconomic outcomes and brain structure measures collected in adults (maximal N = 111,749). Polygenic risk of reading difficulties was associated with reduced income, educational attainment, self-rated health and verbal-numerical reasoning (p < 0.00055). Polygenic risk of language difficulties predicted income (p = 0.0005). The small effect sizes ranged 0.01-0.03 of a standard deviation, but these will increase as genetic studies for reading ability get larger. Polygenic scores for childhood cognitive ability and educational attainment were correlated with polygenic scores of reading and language (up to 0.09 and 0.05, respectively). But when they were included in the prediction models, the observed associations between polygenic reading and adult outcomes mostly remained. This suggests that the pathway from reading ability to social outcomes is not only via associated polygenic loads for general cognitive function and educational attainment. The presence of non-overlapping genetic effect is indicated by the genetic correlations of around 0.40 (childhood intelligence) and 0.70 (educational attainment) with reading ability. Mendelian randomization approaches will be important to dissociate any causal and moderating effects of reading and related traits on social outcomes.

Indexed as

ReadingSocial ClassAdolescentAdultBrainChildCognitionFemaleGenome-Wide Association StudyHumansIntelligenceLanguageLinkage DisequilibriumMaleMultifactorial InheritancePolymorphism, Single NucleotideCross-trait linkage disequilibrium regressionGenetic correlationMRIPolygenic scoresUK Biobank

Identifiers

PMID28711986
PMCPMC5574963
OpenAlexW2735753335

What OpenQuestion holds

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Registered trials

None linked

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.