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; David C. M. Liewald; David J. Porteous; Caroline Hayward; Adam S. Butterworth; Andrew M. Mcintosh; Catharine R. Gale; Ian J. Deary

doi:10.1038/s41467-019-13585-5

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, David C. M. Liewald, David J. Porteous, Caroline Hayward, Adam S. Butterworth, Andrew M. Mcintosh, Catharine R. Gale, Ian J. Deary

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	5741
Journal	Nature Communications
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41467-019-13585-5
Publication status	Published - 16 Dec 2019

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The Disconnected Mind Phase 3
Cox, S. (Principal Investigator) & Deary, I. (Co-investigator)
1/04/16 → 31/03/23
Project: Research
RA2665 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.
Wardlaw, J. (Principal Investigator)
1/09/13 → 31/08/19
Project: Research
A genome wide association study of non pathological cognitive ageing
Deary, I. (Principal Investigator), Porteous, D. (Co-investigator) & Tenesa, A. (Co-investigator)
Biotechnology and Biological Sciences Research Council
1/09/08 → 31/08/10
Project: Research

Andrew McIntosh
- Centre for Clinical Brain Sciences
- Edinburgh Neuroscience
- School of Neurological and Cardiovascular Sciences - Chair of Biological Psychiatry
Person: Academic: Research Active

Cite this

Hill, W. D., Davies, N. M., Ritchie, S. J., Skene, N. G., Bryois, J., Bell, S., Di Angelantonio, E., Roberts, D. J., Xueyi, S., Davies, G., Liewald, D. C. M., Porteous, D. J., Hayward, C., Butterworth, A. S., Mcintosh, A. M., Gale, C. R., & Deary, I. J. (2019). Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income. Nature Communications, 10(1), Article 5741. https://doi.org/10.1038/s41467-019-13585-5

@article{84dae0f85c604e289dd3081b0fa3d090,

title = "Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income",

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.",

author = "Hill, \{W. David\} and Davies, \{Neil M.\} and Ritchie, \{Stuart J.\} and Skene, \{Nathan G.\} and Julien Bryois and Steven Bell and \{Di Angelantonio\}, Emanuele and Roberts, \{David J.\} and Shen Xueyi and Gail Davies and Liewald, \{David C. M.\} and Porteous, \{David J.\} and Caroline Hayward and Butterworth, \{Adam S.\} and Mcintosh, \{Andrew M.\} and Gale, \{Catharine R.\} and Deary, \{Ian J.\}",

year = "2019",

month = dec,

day = "16",

doi = "10.1038/s41467-019-13585-5",

language = "English",

volume = "10",

journal = "Nature Communications",

issn = "2041-1723",

publisher = "Nature Publishing Group",

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Hill, WD, Davies, NM, Ritchie, SJ, Skene, NG, Bryois, J, Bell, S, Di Angelantonio, E, Roberts, DJ, Xueyi, S , Davies, G, Liewald, DCM, Porteous, DJ, Hayward, C, Butterworth, AS, Mcintosh, AM, Gale, CR & Deary, IJ 2019, 'Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income', Nature Communications, vol. 10, no. 1, 5741. https://doi.org/10.1038/s41467-019-13585-5

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T1 - Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income

AU - Hill, W. David

AU - Davies, Neil M.

AU - Ritchie, Stuart J.

AU - Skene, Nathan G.

AU - Bryois, Julien

AU - Bell, Steven

AU - Di Angelantonio, Emanuele

AU - Roberts, David J.

AU - Xueyi, Shen

AU - Davies, Gail

AU - Liewald, David C. M.

AU - Porteous, David J.

AU - Hayward, Caroline

AU - Butterworth, Adam S.

AU - Mcintosh, Andrew M.

AU - Gale, Catharine R.

AU - Deary, Ian J.

PY - 2019/12/16

Y1 - 2019/12/16

N2 - 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.

AB - 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.

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DO - 10.1038/s41467-019-13585-5

M3 - Article

SN - 2041-1723

VL - 10

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 5741

ER -

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

Abstract

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Projects

The Disconnected Mind Phase 3

RA2665 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.

A genome wide association study of non pathological cognitive ageing

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Andrew McIntosh

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