Associations between common genetic variants and income provide insights about the socioeconomic health gradient
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| Title: | Associations between common genetic variants and income provide insights about the socioeconomic health gradient |
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| Authors: | 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 |
| Contributors: | University of Helsinki, Institute for Molecular Medicine Finland, Genetic Epidemiology |
| Source: | Nat Hum Behav Nature human behaviour, vol. 9, no. 4, pp. 794-805 Kweon, H, Burik, C A P, Ning, Y, Ahlskog, R, Xia, C, Abner, E, Bao, Y, Bhatta, L, Faquih, T O, de Feijter, M, Fisher, P, Gelemanović, A, Giannelis, A, Hottenga, J-J, Khalili, B, Lee, Y, Li-Gao, R, Masso, J, Myhre, R, Palviainen, T, Rietveld, C A, Teumer, A, Verweij, R M, Willoughby, E A, Agerbo, E, Bergmann, S, Boomsma, D I, Børglum, A D, Brumpton, B M, Davies, N M, Esko, T, Gordon, S D, Homuth, G, Ikram, M A, Johannesson, M, Kaprio, J, Kidd, M P, Kutalik, Z, Kwong, A S F, Lee, J J, Luik, A I, Magnus, P, Marques-Vidal, P, Martin, N G, Mook-Kanamori, D O, Mortensen, P B, Oskarsson, S, Pedersen, E M, Polašek, O & Rosendaal, F R 2025, 'Associations between common genetic variants and income provide insights about the socio-economic health gradient', Nature Human Behaviour, vol. 9, no. 4, 12681, pp. 794-805. https://doi.org/10.1038/s41562-024-02080-7 |
| Publisher Information: | Springer Science and Business Media LLC, 2024. |
| Publication Year: | 2024 |
| Subject Terms: | Resource, Adult, Male, Multifactorial Inheritance, Economics, Humans, Genome-Wide Association Study, Income/statistics & numerical data, Female, Middle Aged, Health Status Disparities, Educational Status, Socioeconomic Factors, Social Class, Genetic Variation, White People/genetics, Mental Health, Polymorphism, Single Nucleotide, United-states, Social Sciences, Genome-wide association studies, Article, Medical Genetics and Genomics, Education, Heritability, SDG 3 - Good Health and Well-being, Genetics, Psychology, Mortality, Polymorphism, Determinants, Genetic association study, Genome-wide association, Folkhälsovetenskap, global hälsa och socialmedicin, Single Nucleotide, Metaanalysis, Biological Sciences, Public Health, Global Health and Social Medicine, Medicinsk genetik och genomik, Inequality, Earnings, Genetics, developmental biology, physiology, Income |
| Description: | We conducted a genome-wide association study (GWAS) on income among individuals of European descent and leveraged the results to investigate the socio-economic health gradient (N=668,288). We found 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes. Our GWAS-derived polygenic index captures 1 - 4% of income variance, with only one-fourth attributed to direct genetic effects. A phenome-wide association study using this polygenic index showed reduced risks for a broad spectrum of diseases, including hypertension, obesity, type 2 diabetes, coronary atherosclerosis, depression, asthma, and back pain. The income factor showed a substantial genetic correlation (0.92, s.e. = .006) with educational attainment (EA). Accounting for EA's genetic overlap with income revealed that the remaining genetic signal for higher income related to better mental health but reduced physical health benefits and increased participation in risky behaviours such as drinking and smoking. |
| Document Type: | Article Other literature type |
| File Description: | pdf; application/pdf; text |
| ISSN: | 2397-3374 |
| DOI: | 10.21203/rs.3.rs-3782300/v1 |
| DOI: | 10.1038/s41562-024-02080-7 |
| DOI: | 10.62891/aac85602 |
| DOI: | 10.1101/2024.01.09.574865 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/39875632 https://pure.eur.nl/en/publications/b331f0c9-d196-40bd-8b23-da24659c6b0a https://doi.org/10.1038/s41562-024-02080-7 https://research.vu.nl/en/publications/b6e70e0d-930b-43e7-84ce-81ad28740c99 https://doi.org/10.1038/s41562-024-02080-7 https://hdl.handle.net/1871.1/b6e70e0d-930b-43e7-84ce-81ad28740c99 https://hdl.handle.net/11370/becc8ef0-a18b-4218-bc06-0d4bb86187f1 https://research.rug.nl/en/publications/becc8ef0-a18b-4218-bc06-0d4bb86187f1 https://doi.org/10.1038/s41562-024-02080-7 http://hdl.handle.net/10138/599863 http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_1386C6C6562F0 https://serval.unil.ch/notice/serval:BIB_1386C6C6562F https://serval.unil.ch/resource/serval:BIB_1386C6C6562F.P001/REF.pdf https://hdl.handle.net/1887/4214846 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-557472 |
| Rights: | CC BY taverne |
| Accession Number: | edsair.doi.dedup.....ecc71bbc118da3a9d07885564c2d3c13 |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | We conducted a genome-wide association study (GWAS) on income among individuals of European descent and leveraged the results to investigate the socio-economic health gradient (N=668,288). We found 162 genomic loci associated with a common genetic factor underlying various income measures, all with small effect sizes. Our GWAS-derived polygenic index captures 1 - 4% of income variance, with only one-fourth attributed to direct genetic effects. A phenome-wide association study using this polygenic index showed reduced risks for a broad spectrum of diseases, including hypertension, obesity, type 2 diabetes, coronary atherosclerosis, depression, asthma, and back pain. The income factor showed a substantial genetic correlation (0.92, s.e. = .006) with educational attainment (EA). Accounting for EA's genetic overlap with income revealed that the remaining genetic signal for higher income related to better mental health but reduced physical health benefits and increased participation in risky behaviours such as drinking and smoking. |
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| ISSN: | 23973374 |
| DOI: | 10.21203/rs.3.rs-3782300/v1 |