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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...

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Autores principales: Li, Ling, Pang, Shichao, Zeng, Lingyao, Güldener, Ulrich, Schunkert, Heribert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
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.
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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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