Evidence map›Paper›PMID 27818178›Full record

ArticleCurrent biology : CB2016

Molecular Genetic Contributions to Social Deprivation and Household Income in UK Biobank.

W David Hill, Saskia P Hagenaars, Riccardo E Marioni, Sarah E Harris, David C M Liewald, Gail Davies, Aysu Okbay, Andrew M McIntosh, Catharine R Gale, Ian J Deary

Open access · hybridAbstract read
In one paragraph

Article in Current biology : CB, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
22.2field-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

90 citing papers in PubMed, 1 synthesis or guideline pooled it, 204 citations in OpenAlex.

  1. Pooled it
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  8. Review
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  10. Beyond predictive RAmerican journal of human genetics · 2025
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  17. Exome sequencing identifies genes for socioeconomic status in 350,770 individuals.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Article
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

W David HillCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK. Electronic address: david.hill@ed.ac.uk.
Saskia P HagenaarsCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Division of Psychiatry, University of Edinburgh, Morningside Terrace, Edinburgh EH10 5HF, UK.
Riccardo E MarioniCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK; Queensland Brain Institute, The University of Queensland, St Lucia, Queensland 4072, Australia.
Sarah E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK.
David C M LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK.
Gail DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK.
Aysu OkbayDepartment of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Burgemeester Oudlaan 50, Rotterdam 3062 PA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, Gravendijkwal 230, Rotterdam 3015 GE, the Netherlands; Erasmus University Rotterdam Institute for Behavior and Biology, Gravendijkwal 230, Rotterdam 3062 PA, the Netherlands.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Morningside Terrace, Edinburgh EH10 5HF, UK.
Catharine R GaleCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; MRC Lifecourse Epidemiology Unit, University of Southampton, Tremona Rd, Southampton SO16 6YD, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK; Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK. Electronic address: ian.deary@ed.ac.uk.
University of Edinburgh · GBRoyal Edinburgh Hospital · GBErasmus University Rotterdam · NLMRC Institute of Genetics and Molecular Medicine · GBUniversity of Southampton · GBWestern General Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0400491Medical Research Council MC_QA137853Medical Research Council MC_U147574232Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MR/K026992/1
6 · The paper itself

Abstract

Individuals with lower socio-economic status (SES) are at increased risk of physical and mental illnesses and tend to die at an earlier age [1-3]. Explanations for the association between SES and health typically focus on factors that are environmental in origin [4]. However, common SNPs have been found collectively to explain around 18% of the phenotypic variance of an area-based social deprivation measure of SES [5]. Molecular genetic studies have also shown that common physical and psychiatric diseases are partly heritable [6]. It is possible that phenotypic associations between SES and health arise partly due to a shared genetic etiology. We conducted a genome-wide association study (GWAS) on social deprivation and on household income using 112,151 participants of UK Biobank. We find that common SNPs explain 21% of the variation in social deprivation and 11% of household income. Two independent loci attained genome-wide significance for household income, with the most significant SNP in each of these loci being rs187848990 on chromosome 2 and rs8100891 on chromosome 19. Genes in the regions of these SNPs have been associated with intellectual disabilities, schizophrenia, and synaptic plasticity. Extensive genetic correlations were found between both measures of SES and illnesses, anthropometric variables, psychiatric disorders, and cognitive ability. These findings suggest that some SNPs associated with SES are involved in the brain and central nervous system. The genetic associations with SES obviously do not reflect direct causal effects and are probably mediated via other partly heritable variables, including cognitive ability, personality, and health.

Indexed as

Genome-Wide Association StudyIncomePolymorphism, Single NucleotideSocial ClassAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedUnited Kingdomgenetic correlationgeneticsGWASincomeSESsocial deprivationsocioeconomic statusUK Biobank

Identifiers

PMID27818178
PMCPMC5130721
OpenAlexW2548438891

What OpenQuestion holds

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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.