Evidence map›Paper›PMID 31844048›Full record

ArticleNature communications2019

Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income.

W David Hill, Neil M Davies, Stuart J Ritchie, Nathan G Skene, Julien Bryois, Steven Bell, Emanuele Di Angelantonio, David J Roberts, Shen Xueyi, Gail Davies and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 1 pooled it
14.5field-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

111 citing papers in PubMed, 1 synthesis or guideline pooled it, 198 citations in OpenAlex.

  1. Pooled it
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  4. Association Between Socioeconomic Status and Atrial Fibrillation: A Two-Sample Mendelian Randomization Study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
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51 more citing papers are in PubMed but not listed here.

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 8 institutions in 2 countries.

W David HillCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK. David.Hill@ed.ac.uk.
Neil M DaviesMedical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 2BN, UK.ORCID http://orcid.org/0000-0002-2460-0508
Stuart J RitchieSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
Nathan G SkeneLaboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-6807-3180
Julien BryoisDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4747-2166
Steven BellThe National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.ORCID http://orcid.org/0000-0001-6774-3149
Emanuele Di AngelantonioThe National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.
David J RobertsCambridge Substantive Site, Health Data Research UK, Wellcome Genome Campus, Hinxton, UK.
Shen XueyiDivision of Psychiatry, University of Edinburgh, Edinburgh, EH10 5HF, UK.ORCID http://orcid.org/0000-0002-0538-4774
Gail DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
David C M LiewaldCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.ORCID http://orcid.org/0000-0002-0544-7368
David J PorteousCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.ORCID http://orcid.org/0000-0003-1249-6106
Caroline HaywardMRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK.ORCID http://orcid.org/0000-0002-9405-9550
Adam S ButterworthThe National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge, Strangeways Research Laboratory, Wort's Causeway, Cambridge, CB1 8RN, UK.ORCID http://orcid.org/0000-0002-6915-9015
Andrew M McIntoshCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.ORCID http://orcid.org/0000-0002-0198-4588
Catharine R GaleCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.ORCID http://orcid.org/0000-0002-3361-8638
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK.
University of Edinburgh · GBKarolinska Institutet · SENHS Blood and Transplant · GBUniversity of Cambridge · GBWestern General Hospital · GBKing's College London · GBMRC Lifecourse Epidemiology Unit · GBUniversity of Bristol · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Medical Research Council MC_PC_12028Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00007/10Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/9Medical Research Council MR/K026992/1Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

Socioeconomic position (SEP) is a multi-dimensional construct reflecting (and influencing) multiple socio-cultural, physical, and environmental factors. In a sample of 286,301 participants from UK Biobank, we identify 30 (29 previously unreported) independent-loci associated with income. Using a method to meta-analyze data from genetically-correlated traits, we identify an additional 120 income-associated loci. These loci show clear evidence of functionality, with transcriptional differences identified across multiple cortical tissues, and links to GABAergic and serotonergic neurotransmission. By combining our genome wide association study on income with data from eQTL studies and chromatin interactions, 24 genes are prioritized for follow up, 18 of which were previously associated with intelligence. We identify intelligence as one of the likely causal, partly-heritable phenotypes that might bridge the gap between molecular genetic inheritance and phenotypic consequence in terms of income differences. These results indicate that, in modern era Great Britain, genetic effects contribute towards some of the observed socioeconomic inequalities.

Indexed as

Genome-Wide Association StudyQuantitative Trait LociSocial ClassAdultAgedFemaleGenotypeHumansIncomeIntelligenceMaleMiddle AgedPolymorphism, Single NucleotideUnited Kingdom

Identifiers

PMID31844048
PMCPMC6915786
OpenAlexW2991356424

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.