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

  • Julien Bryois (Creator)
  • Steven Bell (Creator)
  • Emanuele Di Angelantonio (Creator)
  • David J Roberts (Creator)
  • Shen Xueyi (Creator)
  • Gail Davies (Creator)
  • David C.M Liewald (Creator)
  • David Porteous (Creator)
  • Caroline Hayward (Creator)
  • Adam S Butterworth (Creator)
  • Catharine Gale (Creator)
  • Ian Deary (Creator)
  • Andrew McIntosh (Creator)
  • David Hill (Creator)
  • Marc Dweck (Creator)
  • Stuart Ritchie (Creator)
  • Nathan G. Skene (Creator)

Dataset

Abstract

Data in support of manuscript : Hill, W.D. et al. (2019). Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income. Nature Communications.

Data Citation

Hill, W David; Davies, Neil M; Ritchie, Stuart J; Skene, Nathan G; Bryois, Julien; Bell, Steven; Di Angelantonio, Emanuele; Roberts, David J; Xueyi, Shen; Davies, Gail; Liewald, David C.M; Porteous, David J; Hayward, Caroline; Butterworth, Adam S; McIntosh, Andrew M; Gale, Catharine R; Deary, Ian J. (2019). Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income, [dataset]. University of Edinburgh. School of Philosophy, Psychology, and Language Sciences. https://doi.org/10.7488/ds/2643.
Date made available11 Nov 2019
PublisherEdinburgh DataShare

Cite this