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Genetically determined intelligence and coronary artery disease risk
BACKGROUND: Epidemiological studies have shown inverse association between intelligence and coronary artery disease (CAD) risk, but the underlying mechanisms remain unclear. METHODS: Based on 242 SNPs independently associated with intelligence, we calculated the genetic intelligence score (gIQ) for...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862508/ https://www.ncbi.nlm.nih.gov/pubmed/32740755 http://dx.doi.org/10.1007/s00392-020-01721-x |
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author | Li, Ling Pang, Shichao Zeng, Lingyao Güldener, Ulrich Schunkert, Heribert |
author_facet | Li, Ling Pang, Shichao Zeng, Lingyao Güldener, Ulrich Schunkert, Heribert |
author_sort | Li, Ling |
collection | PubMed |
description | BACKGROUND: Epidemiological studies have shown inverse association between intelligence and coronary artery disease (CAD) risk, but the underlying mechanisms remain unclear. METHODS: Based on 242 SNPs independently associated with intelligence, we calculated the genetic intelligence score (gIQ) for participants from 10 CAD case–control studies (n = 34,083) and UK Biobank (n = 427,306). From UK Biobank, we extracted phenotypes including body mass index (BMI), type 2 diabetes (T2D), smoking, hypertension, HDL cholesterol, LDL cholesterol, measured intelligence score, and education attainment. To estimate the effects of gIQ on CAD and its related risk factors, regression analyses was applied. Next, we studied the mediatory roles of measured intelligence and educational attainment. Lastly, Mendelian randomization was performed to validate the findings. RESULTS: In CAD case–control studies, one standard deviation (SD) increase of gIQ was related to a 5% decrease of CAD risk (odds ratio [OR] of 0.95; 95% confidence interval [CI] 0.93 to 0.98; P = 4.93e–5), which was validated in UK Biobank (OR = 0.97; 95% CI 0.96 to 0.99; P = 6.4e–4). In UK Biobank, we also found significant inverse correlations between gIQ and risk factors of CAD including smoking, BMI, T2D, hypertension, and a positive correlation with HDL cholesterol. The association signals between gIQ and CAD as well as its risk factors got largely attenuated after the adjustment of measured intelligence and educational attainment. The causal role of intelligence in mediating CAD risk was confirmed by Mendelian randomization analyses. CONCLUSION: Genetic components of intelligence affect measured intelligence and educational attainment, which subsequently affect the prevalence of CAD via a series of unfavorable risk factor profiles. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00392-020-01721-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7862508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-78625082021-02-16 Genetically determined intelligence and coronary artery disease risk Li, Ling Pang, Shichao Zeng, Lingyao Güldener, Ulrich Schunkert, Heribert Clin Res Cardiol Original Paper BACKGROUND: Epidemiological studies have shown inverse association between intelligence and coronary artery disease (CAD) risk, but the underlying mechanisms remain unclear. METHODS: Based on 242 SNPs independently associated with intelligence, we calculated the genetic intelligence score (gIQ) for participants from 10 CAD case–control studies (n = 34,083) and UK Biobank (n = 427,306). From UK Biobank, we extracted phenotypes including body mass index (BMI), type 2 diabetes (T2D), smoking, hypertension, HDL cholesterol, LDL cholesterol, measured intelligence score, and education attainment. To estimate the effects of gIQ on CAD and its related risk factors, regression analyses was applied. Next, we studied the mediatory roles of measured intelligence and educational attainment. Lastly, Mendelian randomization was performed to validate the findings. RESULTS: In CAD case–control studies, one standard deviation (SD) increase of gIQ was related to a 5% decrease of CAD risk (odds ratio [OR] of 0.95; 95% confidence interval [CI] 0.93 to 0.98; P = 4.93e–5), which was validated in UK Biobank (OR = 0.97; 95% CI 0.96 to 0.99; P = 6.4e–4). In UK Biobank, we also found significant inverse correlations between gIQ and risk factors of CAD including smoking, BMI, T2D, hypertension, and a positive correlation with HDL cholesterol. The association signals between gIQ and CAD as well as its risk factors got largely attenuated after the adjustment of measured intelligence and educational attainment. The causal role of intelligence in mediating CAD risk was confirmed by Mendelian randomization analyses. CONCLUSION: Genetic components of intelligence affect measured intelligence and educational attainment, which subsequently affect the prevalence of CAD via a series of unfavorable risk factor profiles. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00392-020-01721-x) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-08-02 2021 /pmc/articles/PMC7862508/ /pubmed/32740755 http://dx.doi.org/10.1007/s00392-020-01721-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Paper Li, Ling Pang, Shichao Zeng, Lingyao Güldener, Ulrich Schunkert, Heribert Genetically determined intelligence and coronary artery disease risk |
title | Genetically determined intelligence and coronary artery disease risk |
title_full | Genetically determined intelligence and coronary artery disease risk |
title_fullStr | Genetically determined intelligence and coronary artery disease risk |
title_full_unstemmed | Genetically determined intelligence and coronary artery disease risk |
title_short | Genetically determined intelligence and coronary artery disease risk |
title_sort | genetically determined intelligence and coronary artery disease risk |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862508/ https://www.ncbi.nlm.nih.gov/pubmed/32740755 http://dx.doi.org/10.1007/s00392-020-01721-x |
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