Nature Communications (Dec 2019)
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
Affiliations
- W. David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- Neil M. Davies
- Medical Research Council Integrative Epidemiology Unit, University of Bristol
- Stuart J. Ritchie
- Social, Genetic and Developmental Psychiatry Centre, King’s College London
- Nathan G. Skene
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet
- Julien Bryois
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet
- Steven Bell
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge
- Emanuele Di Angelantonio
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge
- David J. Roberts
- Cambridge Substantive Site, Health Data Research UK
- Shen Xueyi
- Division of Psychiatry, University of Edinburgh
- Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- David C. M. Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- David J. Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- Caroline Hayward
- MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital
- Adam S. Butterworth
- The National Institute for Health Research Blood and Transplant Unit in Donor Health and Genomics at the University of Cambridge, University of Cambridge
- Andrew M. McIntosh
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- Catharine R. Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- DOI
- https://doi.org/10.1038/s41467-019-13585-5
- Journal volume & issue
-
Vol. 10,
no. 1
pp. 1 – 16
Abstract
Household income is used as a marker of socioeconomic position, a trait that is associated with better physical and mental health. Here, Hill et al. report a genome-wide association study for household income in the UK and explore its relationship with intelligence in post-GWAS analyses including Mendelian randomization.
