A Mendelian randomization study investigated the relationship between socioeconomic status and myocardial infarction
Abstract Background:It is unclear whether socioeconomic factors causally affect cardiovascular disease risk. Utilizing data from comprehensive genetic associated studies of socioeconomic status (SES) and myocardial infarction (MI), we employed two-sample mendelian randomization (MR) analysis to determine the causality between SES and MI.Method:The genetic summary level data of SES and MI were acquired from various genome-wide association studies (GWAS) studies. We first identified instrumental variables of the socioeconomic determinants and then investigated the causality between instrumental variables and MI. The primary method employed to evaluate this causation was the conventional inverse variance weighted (IVW). Sensitivity analysis was used to assess the underlying heterogeneity and pleiotropy.Results:Age of full-time education has a reverse causal relationship with MI (OR 0.57, 95 percent CI 0.38-0.87, p=0.0096). There is a potential causal association between self-reported household income and the incidence of MI (OR 0.41, 95 percent CI 0.32-0.52, p=8.82×10-14). Additionally, Hard physical work is significantly associated with a higher risk of MI (OR 1.79, 95 percent CI 1.02-3.13, p= 0.042).Conclusions:The idea that low SES levels might raise the incidence of MI is supported by this MR study..
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Preprint| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
ResearchSquare.com - (2023) vom: 06. Dez. Zur Gesamtaufnahme - year:2023 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Liu, Meijia [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.21203/rs.3.rs-1944228/v1 |
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XRA038657597 |
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| 520 | |a Abstract Background:It is unclear whether socioeconomic factors causally affect cardiovascular disease risk. Utilizing data from comprehensive genetic associated studies of socioeconomic status (SES) and myocardial infarction (MI), we employed two-sample mendelian randomization (MR) analysis to determine the causality between SES and MI.Method:The genetic summary level data of SES and MI were acquired from various genome-wide association studies (GWAS) studies. We first identified instrumental variables of the socioeconomic determinants and then investigated the causality between instrumental variables and MI. The primary method employed to evaluate this causation was the conventional inverse variance weighted (IVW). Sensitivity analysis was used to assess the underlying heterogeneity and pleiotropy.Results:Age of full-time education has a reverse causal relationship with MI (OR 0.57, 95 percent CI 0.38-0.87, p=0.0096). There is a potential causal association between self-reported household income and the incidence of MI (OR 0.41, 95 percent CI 0.32-0.52, p=8.82×10-14). Additionally, Hard physical work is significantly associated with a higher risk of MI (OR 1.79, 95 percent CI 1.02-3.13, p= 0.042).Conclusions:The idea that low SES levels might raise the incidence of MI is supported by this MR study. | ||
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