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Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes
Both genetic predisposition and low educational attainment (EA) are associated with higher risk of chronic kidney disease. We examined the interaction of EA and genetic risk in kidney function outcomes. We included 3,597 participants from the Prevention of Renal and Vascular End-Stage Disease Cohort...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096480/ https://www.ncbi.nlm.nih.gov/pubmed/33089864 http://dx.doi.org/10.1093/aje/kwaa237 |
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author | Thio, Chris H L van Zon, Sander K R van der Most, Peter J Snieder, Harold Bültmann, Ute Gansevoort, Ron T |
author_facet | Thio, Chris H L van Zon, Sander K R van der Most, Peter J Snieder, Harold Bültmann, Ute Gansevoort, Ron T |
author_sort | Thio, Chris H L |
collection | PubMed |
description | Both genetic predisposition and low educational attainment (EA) are associated with higher risk of chronic kidney disease. We examined the interaction of EA and genetic risk in kidney function outcomes. We included 3,597 participants from the Prevention of Renal and Vascular End-Stage Disease Cohort Study, a longitudinal study in a community-based sample from Groningen, the Netherlands (median follow-up, 11 years; 1997–2012). Kidney function was approximated by obtaining estimated glomerular filtration rate (eGFR) from serum creatinine and cystatin C. Individual longitudinal linear eGFR trajectories were derived from linear mixed models. Genotype data on 63 single-nucleotide polymorphisms, with known associations with eGFR, were used to calculate an allele-weighted genetic score (WGS). EA was categorized into high, medium, and low. In ordinary least squares analysis, higher WGS and lower EA showed additive effects on reduced baseline eGFR; the interaction term was nonsignificant. In analysis of eGFR decline, the significant interaction term suggested amplification of genetic risk by low EA. Adjustment for known renal risk factors did not affect our results. This study presents the first evidence of gene-environment interaction between EA and a WGS for eGFR decline and provides population-level insights into the mechanisms underlying socioeconomic disparities in chronic kidney disease. |
format | Online Article Text |
id | pubmed-8096480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80964802021-05-10 Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes Thio, Chris H L van Zon, Sander K R van der Most, Peter J Snieder, Harold Bültmann, Ute Gansevoort, Ron T Am J Epidemiol Original Contribution Both genetic predisposition and low educational attainment (EA) are associated with higher risk of chronic kidney disease. We examined the interaction of EA and genetic risk in kidney function outcomes. We included 3,597 participants from the Prevention of Renal and Vascular End-Stage Disease Cohort Study, a longitudinal study in a community-based sample from Groningen, the Netherlands (median follow-up, 11 years; 1997–2012). Kidney function was approximated by obtaining estimated glomerular filtration rate (eGFR) from serum creatinine and cystatin C. Individual longitudinal linear eGFR trajectories were derived from linear mixed models. Genotype data on 63 single-nucleotide polymorphisms, with known associations with eGFR, were used to calculate an allele-weighted genetic score (WGS). EA was categorized into high, medium, and low. In ordinary least squares analysis, higher WGS and lower EA showed additive effects on reduced baseline eGFR; the interaction term was nonsignificant. In analysis of eGFR decline, the significant interaction term suggested amplification of genetic risk by low EA. Adjustment for known renal risk factors did not affect our results. This study presents the first evidence of gene-environment interaction between EA and a WGS for eGFR decline and provides population-level insights into the mechanisms underlying socioeconomic disparities in chronic kidney disease. Oxford University Press 2020-10-22 /pmc/articles/PMC8096480/ /pubmed/33089864 http://dx.doi.org/10.1093/aje/kwaa237 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Contribution Thio, Chris H L van Zon, Sander K R van der Most, Peter J Snieder, Harold Bültmann, Ute Gansevoort, Ron T Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes |
title | Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes |
title_full | Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes |
title_fullStr | Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes |
title_full_unstemmed | Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes |
title_short | Associations of Genetic Factors, Educational Attainment, and Their Interaction With Kidney Function Outcomes |
title_sort | associations of genetic factors, educational attainment, and their interaction with kidney function outcomes |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096480/ https://www.ncbi.nlm.nih.gov/pubmed/33089864 http://dx.doi.org/10.1093/aje/kwaa237 |
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