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Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study

OBJECTIVES: Observational studies have revealed that socioeconomic status is associated with cardiovascular health. However, the potential causal effect remains unclear. Hence, we aimed to investigate the causal relationship between household income status and genetic susceptibility to cardiovascula...

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Autores principales: Zheng, Xifeng, Yang, Yu, Chen, Jianying, Lu, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124030/
https://www.ncbi.nlm.nih.gov/pubmed/37095467
http://dx.doi.org/10.1186/s12889-023-15561-7
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author Zheng, Xifeng
Yang, Yu
Chen, Jianying
Lu, Bing
author_facet Zheng, Xifeng
Yang, Yu
Chen, Jianying
Lu, Bing
author_sort Zheng, Xifeng
collection PubMed
description OBJECTIVES: Observational studies have revealed that socioeconomic status is associated with cardiovascular health. However, the potential causal effect remains unclear. Hence, we aimed to investigate the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases using a bidirectional Mendelian randomization (MR) study. METHODS: An MR study based on a large-sample cohort of the European population from a publicly available genome-wide association study datasets was conducted using a random-effects inverse-variance weighting model as the main standard. Simultaneously, MR-Egger regression, weighted median, and maximum likelihood estimation were used as supplements. Sensitivity analysis, consisting of a heterogeneity test and horizontal pleiotropy test, was performed using Cochran’s Q, MR-Egger intercept, and MR-PRESSO tests to ensure the reliability of the conclusion. RESULTS: The results suggested that higher household income tended to lower the risk of genetic susceptibility to myocardial infarction (OR: 0.503, 95% CI = 0.405–0.625, P < 0.001), hypertension (OR: 0.667, 95% CI = 0.522–0.851, P = 0.001), coronary artery disease (OR: 0.674, 95% CI = 0.509–0.893, P = 0.005), type 2 diabetes (OR: 0.642, 95% CI = 0.464–0.889, P = 0.007), heart failure (OR: 0.825, 95% CI = 0.709–0.960, P = 0.013), and ischemic stroke (OR: 0.801, 95% CI = 0.662–0.968, P = 0.022). In contrast, no association was evident with atrial fibrillation (OR: 0.970, 95% CI = 0.767–1.226, P = 0.798). The reverse MR study suggested a potentially negative trend between heart failure and household income status. A sensitivity analysis verified the reliability of the results. CONCLUSIONS: The results revealed that the population with higher household income tended to have a lower risk of genetic susceptibility to myocardial infarction and hypertension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15561-7.
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spelling pubmed-101240302023-04-25 Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study Zheng, Xifeng Yang, Yu Chen, Jianying Lu, Bing BMC Public Health Research OBJECTIVES: Observational studies have revealed that socioeconomic status is associated with cardiovascular health. However, the potential causal effect remains unclear. Hence, we aimed to investigate the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases using a bidirectional Mendelian randomization (MR) study. METHODS: An MR study based on a large-sample cohort of the European population from a publicly available genome-wide association study datasets was conducted using a random-effects inverse-variance weighting model as the main standard. Simultaneously, MR-Egger regression, weighted median, and maximum likelihood estimation were used as supplements. Sensitivity analysis, consisting of a heterogeneity test and horizontal pleiotropy test, was performed using Cochran’s Q, MR-Egger intercept, and MR-PRESSO tests to ensure the reliability of the conclusion. RESULTS: The results suggested that higher household income tended to lower the risk of genetic susceptibility to myocardial infarction (OR: 0.503, 95% CI = 0.405–0.625, P < 0.001), hypertension (OR: 0.667, 95% CI = 0.522–0.851, P = 0.001), coronary artery disease (OR: 0.674, 95% CI = 0.509–0.893, P = 0.005), type 2 diabetes (OR: 0.642, 95% CI = 0.464–0.889, P = 0.007), heart failure (OR: 0.825, 95% CI = 0.709–0.960, P = 0.013), and ischemic stroke (OR: 0.801, 95% CI = 0.662–0.968, P = 0.022). In contrast, no association was evident with atrial fibrillation (OR: 0.970, 95% CI = 0.767–1.226, P = 0.798). The reverse MR study suggested a potentially negative trend between heart failure and household income status. A sensitivity analysis verified the reliability of the results. CONCLUSIONS: The results revealed that the population with higher household income tended to have a lower risk of genetic susceptibility to myocardial infarction and hypertension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15561-7. BioMed Central 2023-04-24 /pmc/articles/PMC10124030/ /pubmed/37095467 http://dx.doi.org/10.1186/s12889-023-15561-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zheng, Xifeng
Yang, Yu
Chen, Jianying
Lu, Bing
Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study
title Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study
title_full Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study
title_fullStr Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study
title_full_unstemmed Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study
title_short Dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: Insights from bidirectional mendelian randomization study
title_sort dissecting the causal relationship between household income status and genetic susceptibility to cardiovascular-related diseases: insights from bidirectional mendelian randomization study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124030/
https://www.ncbi.nlm.nih.gov/pubmed/37095467
http://dx.doi.org/10.1186/s12889-023-15561-7
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