Dataset Information

Lack of causal association between heart failure and osteoporosis: a Mendelian randomization study.

ABSTRACT:

Objectives

Heart failure (HF) has been implicated in osteoporosis. However, causality remains unestablished. Here, we sought to assess causal associations of genetic liability to HF with osteoporosis using Mendelian randomization (MR) analyses.

Methods

Independent single nucleotide polymorphisms associated with HF at genome-wide significance were derived from a large genome-wide association study (GWAS) (including up to 977,323 individuals). We obtained summary statistics for forearm (FA) bone mineral density (BMD) (n = 8,143), femoral neck (FN) BMD (n = 32,735), lumbar spine (LS) BMD (n = 28,498), heel (HE) BMD (n = 426,824), and fracture (n = 1,214,434) from other GWAS meta-analyses. Inverse variance weighted (IVW) and several supplementary methods were performed to calculate the MR estimates.

Results

Genetically determined HF has no causal effect on FA-BMD (odds ratio (OR) 1.17; 95% confidence interval (CI) 0.82, 1.66; P = 0.389), FN-BMD (OR 1.01; 95% CI 0.85, 1.19; P = 0.936), LS-BMD (OR 0.96; 95% CI 0.80, 1.17; P = 0.705), HE-BMD (OR 1.01; 95% CI 0.90, 1.13; P = 0.884), and fracture risk (OR 1.00; 95% CI 0.92, 1.10; P = 0.927). Complementary analyses returned broadly consistent results.

Conclusion

This MR study provides genetic evidence that HF may not lead to an increased risk of reduced BMDs or fracture.

SUBMITTER: Chen H

PROVIDER: S-EPMC9636651 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

Lack of causal association between heart failure and osteoporosis: a Mendelian randomization study.

Chen Heng H Ye Runze R Guo Xiaogang X

BMC medical genomics 20221104 1

<h4>Objectives</h4>Heart failure (HF) has been implicated in osteoporosis. However, causality remains unestablished. Here, we sought to assess causal associations of genetic liability to HF with osteoporosis using Mendelian randomization (MR) analyses.<h4>Methods</h4>Independent single nucleotide polymorphisms associated with HF at genome-wide significance were derived from a large genome-wide association study (GWAS) (including up to 977,323 individuals). We obtained summary statistics for fore ...[more]

PMID: 36333784

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Project description:Background: Traditional observational studies have demonstrated an association between heart failure and Alzheimer's disease. The strengths of observational studies lie in their speed of implementation, cost, and applicability to rare diseases. However, observational studies have several limitations, such as uncontrollable confounders. Therefore, we employed Mendelian randomization of genetic variants to evaluate the causal relationships existing between AD and HF, which can avoid these limitations. Materials and Methods: A two-sample bidirectional MR analysis was employed. All datasets were results from the UK's Medical Research Council Integrative Epidemiology Unit genome-wide association study database, and we conducted a series of control steps to select the most suitable single-nucleotide polymorphisms for MR analysis, for which five primary methods are offered. We reversed the functions of exposure and outcomes to explore the causal direction of HF and AD. Sensitivity analysis was used to conduct several tests to avoid heterogeneity and pleiotropic bias in the MR results. Results: Our MR studies did not support a meaningful causal relationship between AD on HF (MR-Egger, p = 0.634 > 0.05; weighted median (WM), p = 0.337 > 0.05; inverse variance weighted (IVW), p = 0.471 > 0.05; simple mode, p = 0.454 > 0.05; weighted mode, p = 0.401 > 0.05). At the same time, we did not find a significant causal relationship between HF and AD with four of the methods (MR-Egger, p = 0.195 > 0.05; IVW, p = 0.0879 > 0.05; simple mode, p = 0.170 > 0.05; weighted mode, p = 0.110 > 0.05), but the WM method indicated a significant effect of HF on AD (p = 0.025 < 0.05). Because the statistical powers of IVW and MR-Egger are more than that of WM, we think that there is no causal effect of HF on AD. Sensitivity analysis and horizontal pleiotropy were not detected in the MR analysis. Conclusion: Our results did not provide significant evidence indicating any causal relationships between HF and AD in the European population. Therefore, more large-scale datasets or datasets related to similar factors are expected for further MR analysis.

Project description:AimsThis study aimed to investigate the causal association of aspirin consumption with the risk of heart failure.MethodsOur study included a total of 218 208 individuals, with 23 397 cases of heart failure. Genetic summary data on the association between single-nucleotide polymorphisms (SNPs) and aspirin consumption were obtained from a large-scale genome-wide association study involving 462 933 individuals, of which 61 702 people were taking aspirin. After the exclusion of critical confounding factors, we assessed the final and independent association between the aspirin consumption and the risk of heart failure using 3 two-sample Mendelian randomization (MR) methods-inverse variance weighted (IVW), weighted-median, and MR-Egger regression. Sensitivity analyses and directionality test were employed to further validate the stability of the results.ResultsAfter excluding the SNPs that exhibited associations with potential confounders and harmonizing the data, a total of 32 SNPs were finally selected for MR analysis from the initially identified 60 SNPs that displayed strong associations with the exposure. The results of the main method (IVW) showed a significant positive association between aspirin use and the occurrence of heart failure (OR [odds ratio]: 1.085; 95% CI [confidence interval]: 1.015-1.161; P = 0.017), although other methods did not showed statistically significant results (MR-Egger, OR: 1.211, 95% CI: 0.842-1.21, P = 0.896; weighted-median, OR: 1.087, 95% CI: 0.983-1.202, P = 0.105). Heterogeneity test, the MR-Egger intercept, and the funnel plot did not reveal any evidence of heterogeneity (Cochran's Q statistic = 29.263; P = 0.556) or horizontal pleiotropy (intercept = 0.007; P = 0.319). The 'leave-one-out' analysis indicated that no individual SNP exerted a dominant influence on the main estimate. Directionality test confirmed the accuracy of the causal relationship between exposure and outcome direction in our data.ConclusionsOur results support a potential positive causal relationship between aspirin consumption and the occurrence of heart failure.

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Dataset Information

Lack of causal association between heart failure and osteoporosis: a Mendelian randomization study.

Objectives

Methods

Results

Conclusion

Publications

Lack of causal association between heart failure and osteoporosis: a Mendelian randomization study.

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