دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income.
المؤلفون: 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
المصدر: essn: 2041-1723 ; nlmid: 101528555
سنة النشر: 2020
المجموعة: Apollo - University of Cambridge Repository
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
العلاقة: https://www.repository.cam.ac.uk/handle/1810/301361Test
DOI: 10.17863/CAM.48442
الإتاحة: https://doi.org/10.17863/CAM.48442Test
https://www.repository.cam.ac.uk/handle/1810/301361Test
حقوق: Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.409EF745
قاعدة البيانات: BASE