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 CM Liewald, David J Porteous, Caroline Hayward, Adam Butterworth, Andrew M McIntosh, Catharine R Gale & Ian J Deary
Socio-economic 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 independent-loci associated with income. Using a recently-developed 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...
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