Nature Human Behaviour ( IF 21.4 ) Pub Date : 2025-01-28 , DOI: 10.1038/s41562-024-02080-7
Hyeokmoon Kweon, Casper A. P. Burik, Yuchen Ning, Rafael Ahlskog, Charley Xia, Erik Abner, Yanchun Bao, Laxmi Bhatta, Tariq O. Faquih, Maud de Feijter, Paul Fisher, Andrea Gelemanović, Alexandros Giannelis, Jouke-Jan Hottenga, Bita Khalili, Yunsung Lee, Ruifang Li-Gao, Jaan Masso, Ronny Myhre, Teemu Palviainen, Cornelius A. Rietveld, Alexander Teumer, Renske M. Verweij, Emily A. Willoughby, Esben Agerbo, Sven Bergmann, Dorret I. Boomsma, Anders D. Børglum, Ben M. Brumpton, Neil Martin Davies, Tõnu Esko, Scott D. Gordon, Georg Homuth, M. Arfan Ikram, Magnus Johannesson, Jaakko Kaprio, Michael P. Kidd, Zoltán Kutalik, Alex S. F. Kwong, James J. Lee, Annemarie I. Luik, Per Magnus, Pedro Marques-Vidal, Nicholas G. Martin, Dennis O. Mook-Kanamori, Preben Bo Mortensen, Sven Oskarsson, Emil M. Pedersen, Ozren Polašek, Frits R. Rosendaal, Melissa C. Smart, Harold Snieder, Peter J. van der Most, Peter Vollenweider, Henry Völzke, Gonneke Willemsen, Jonathan P. Beauchamp, Thomas A. DiPrete, Richard Karlsson Linnér, Qiongshi Lu, Tim T. Morris, Aysu Okbay, K. Paige Harden, Abdel Abdellaoui, W. David Hill, Ronald de Vlaming, Daniel J. Benjamin, Philipp D. Koellinger
We conducted a genome-wide association study on income among individuals of European descent (N = 668,288) to investigate the relationship between socio-economic status and health disparities. We identified 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes (the Income Factor). Our polygenic index captures 1–5% of income variance, with only one fourth due to direct genetic effects. A phenome-wide association study using this index showed reduced risks for diseases including hypertension, obesity, type 2 diabetes, depression, asthma and back pain. The Income Factor had a substantial genetic correlation (0.92, s.e. = 0.006) with educational attainment. Accounting for the genetic overlap of educational attainment with income revealed that the remaining genetic signal was linked to better mental health but reduced physical health and increased risky behaviours such as drinking and smoking. These findings highlight the complex genetic influences on income and health.
中文翻译:
常见遗传变异与收入之间的关联提供了有关社会经济健康梯度的见解
我们对欧洲血统个体 (N = 668,288) 的收入进行了全基因组关联研究,以调查社会经济地位与健康差异之间的关系。我们确定了 162 个基因组位点,这些基因位点与各种收入衡量标准背后的共同遗传因子相关,所有基因位点的效应量都很小(收入因子)。我们的多基因指数捕获了 1-5% 的收入差异,只有四分之一是由于直接的遗传效应。使用该指数的全表型组关联研究表明,患高血压、肥胖、2 型糖尿病、抑郁症、哮喘和背痛等疾病的风险降低。收入因子与受教育程度有很大的遗传相关性 (0.92, s.e. = 0.006)。对教育程度与收入的遗传重叠的解释表明,剩余的遗传信号与更好的心理健康有关,但会降低身体健康状况并增加饮酒和吸烟等危险行为。这些发现突出了遗传对收入和健康的复杂影响。