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. 2025 May 5;17:75. doi: 10.1186/s13148-025-01875-3

Causal associations between epigenetic age and thromboembolism: a bi-directional two-sample Mendelian randomization study

Bowen Jin 1,✉, Yunyan Li 1, Dingyang Li 1, Chi Jing 1, Qunshan Sheng 1
PMCID: PMC12051321  PMID: 40325450

Abstract

Background

Thromboembolism is one of the most prevalent cardiovascular conditions affecting the elder population. The associations between epigenetic aging and thromboembolism risks remain incompletely elucidated. Through Mendelian randomization (MR), this research seeks to assess the causal links between genetically determined epigenetic aging factors and thromboembolism.

Results

Genetic variants were extracted from genome-wide association studies (GWAS) under stringent threshold as instrumental variables (IVs). Bi-directional two-sample MR analyses were conducted to determine the direction of causal associations. We employed the inverse variance weighted (IVW), weighted median, weighted mode and MR Egger to estimate the causal effect, with sensitivity analyses such as Cochran’s Q tests, MR-PRESSO and leave-one-out performed to avoid potential heterogeneity and pleiotropy. Our MR analysis revealed a causal association between intrinsic epigenetic age acceleration and deep vein thrombosis of lower extremities (IVW: OR 0.963, 95% CI 0.934–0.992, P = 0.014), and between the genetically determined levels of plasminogen activator inhibitor-1 and other arterial embolism and thrombosis (IVW: OR 1.000, 95% CI 1.000–1.0005, P = 0.029). Causality was also identified between the genetically predicted levels of FGF23 and other arterial embolism and thrombosis (IVW: OR: 1.661, 95% CI 1.051–2.624, P = 0.029) and arterial embolism and thrombosis of lower extremity artery (IVW: OR 1.68, 95% CI 1.031–2.725, P = 0.037). Moreover, bi-directional MR showed reverse effects between portal vein thrombosis and PhenoAge (IVW: OR 0.871, 95% CI 0.765–0.992, P = 0.037) and between venous thromboembolism and GrimAge (IVW: OR 1.186, 95% CI 1.048–1.341, P = 0.007). Sensitivity analysis using Cochran’s Q tests, MR-PRESSO and leave-one-out excluded the influence of heterogeneity, horizontal pleiotropy, and outliers.

Conclusion

Our results identified a causal association between genetically predicted epigenetic aging factors and thromboembolism. The findings highlight the necessity for further exploration into the underlying etiology of thromboembolism.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13148-025-01875-3.

Keywords: Thromboembolism, Epigenetic aging clocks, Causal inference, Mendelian randomization

Background

Thromboembolism, a critical cardiovascular condition that is frequently underdiagnosed and undertreated, significantly impacts a large portion of the global population, accounting for approximately one in four deaths worldwide [1]. Venous thromboembolism (VTE), which includes deep vein thrombosis (DVT), pulmonary embolism (PE), thrombophlebitis and portal vein thrombosis (PVT), is a significant health issue affecting approximately 10 million people globally each year [2]. Characterized by abnormal blood clotting in the deep veins, VTE disrupts normal venous return, which can result in severe complications and long-term consequences. Arterial thromboembolism, on the other hand, resulting from clot formation within arteries or embolization from the heart or vessel walls, obstructs blood flow and is a leading cause of ischemic heart disease and stroke [3]. Despite advances in diagnosis and treatment, venous and arterial thromboembolism remain a challenge for clinicians, highlighting the need for primary prevention strategies to reduce the risk of thrombosis. The underlying mechanisms of venous and arterial thromboembolism are complex and multi-factorial, with risk factors including dietary habits, tobacco use, and sedentary behavior and accelerated epigenetic aging [4, 5].

Epigenetic aging, which refers to the biological aging process as indicated by specific epigenetic markers, such as DNA methylation and histone modifications, is a significant area of research in the field of gerontology and epidemiology [6]. Epigenetic age, an indicator of biological age that can differ from chronological age, is a reflection of health status and aging rate. This measure is linked to various health outcomes and can predict longevity [7]. Epigenetic clocks, such as HannumAge, PhenoAge and GrimAge, are tools developed to predict biological age and assess the risk of age-related diseases based on these methylation patterns [8–10]. The relationship between epigenetic aging and thrombosis is an emerging area of research [11]. Recent studies have shown that epigenetic age acceleration is associated with a prothrombotic hemostatic profile, characterized by increased levels of clotting factors such as fibrinogen and PAI1, as well as decreased clotting time, which may contribute to the increased risk of thrombotic events [5]. However, prothrombotic profiles may contribute to accelerated epigenetic aging, as chronic inflammation and oxidative stress commonly seen in diabetes or obesity, both of which are risk factors for thrombosis, can contribute to epigenetic aging acceleration [12]. Therefore, the precise causal links between epigenetic aging and thrombosis are not yet fully understood. This gap in knowledge underscores the need for further research to uncover the underlying host factors that could inform more effective prevention and treatment strategies for thrombotic events.

MR offers an alternative to conduct causality assumptions that cannot be readily obtained from conventional observational studies [13]. Using random genetic variants as IVs, MR explores the causal relationships between two variables, helping to control for confounding factors and address issues of reverse causality [14, 15]. Here, an MR analysis was executed to test whether these SNP alleles affecting epigenetic aging are causally associated with the risk of thromboembolism at the population level.

Methods

Study design

A two-sample MR analysis was conducted to assess the casual connections between genetically predicted epigenetic aging factors and thromboembolism. SNPs were selected as IVs based on three criteria: 1) directly linked to the exposure, 2) not correlated with potential confounders, and 3) an exclusive influence on the outcome through the exposure. [14, 16]. Figure 1 summarizes the overall study design. Our study was reported in line with the “STrengthening the Reporting of OBservational studies in Epidemiology using Mendelian Randomization (STROBE-MR)” checklist [16].

Fig. 1.

Fig. 1

Overall study design of the MR analysis. A flowchart depicts how the bi-directional MR analysis was conducted in this study

Data sources

The GWAS summary data of venous and arterial thromboembolism was collected from the FinnGen database, a large public–private partnership in Finland aimed at collecting and analyzing genomic and health data to better understand the genetic basis of diseases, which were categorized into VTE (21,021 cases and 391,160 controls), DVT (6501 cases and 357,111 controls), PE (10,046 cases and 401,128 controls), thrombophlebitis (7683 cases and 357,111 controls), PVT (394 cases and 357,111 controls), and arterial embolism and thrombosis of lower extremity artery (1076 cases and 381,977 controls) and other arterial embolism and thrombosis (869 cases and 381,977 controls) of European ancestry.

The GWAS summary data of PhenoAge, GrimAge, HannumAge and intrinsic epigenetic age acceleration (IEAA) derived from the HorvathAge were obtained from a previous study [17]. In addition, genetically predicted levels of five factors that have been associated with epigenetic aging, including granulocyte proportions, plasminogen activator inhibitor-1 (PAI1), telomere length, circulating plasma α-Klotho and fibroblast growth factor 23 (FGF23) were considered for exposure as well, and the genetic data were acquired from public studies [18–22]. The detailed information for each phenotypic exposure and outcome data is provided in Supplemental Table 1.

Selection of instrumental variables

SNPs for each exposure phenotype were selected as candidate IVs at a threshold of p < 5e-8 [23], with the exception of analyses involving granulocyte proportions, PVT, arterial embolism, and thrombosis of the lower extremity artery and other arterial sites, where a less stringent threshold of p < 5e-6 was applied due to limited number of SNPs at p < 5e-8 [24]. Subsequently, SNPs with MAF (minor allele frequency) no more than 0.01 were discarded. Linked disequilibrium (LD)-clumping was conducted to ensure the independence of each SNPs under a stringent criteria (r2 < 0.001, window size = 10,000 kb). For SNPs missing in the outcome, we identified the most highly correlated proxy SNPs within a ± 500 kb window around the original SNP locus, ensuring a high degree of correlation (r2 > 0.8) to maintain their validity as IVs. Furthermore, F-statistics for these IVs were calculated using the formula F = R2*(N-2)/(1-R2), of which R2 represents the proportion of phenotypic variance explained by a single SNP and N refers to sample sizes [25]. SNPs with an F-statistic below 10 were considered as weak IVs and subsequently discarded [26]. Finally, during the harmonization process of aligning exposure and outcome data, alleles that were non-concordant and those with palindromic sequences were eliminated. These stringently selected SNPs were utilized as eligible IVs for MR analyses.

Mendelian randomization analysis

Bi-directional two-sample MR analysis was executed between genetically determined epigenetic aging factors and thromboembolism by calculating odds ratio (OR) and 95% confidence interval (CI). We applied inverse variance weighted (IVW) [27], weighted median [28], weighted mode [29] and MR Egger [30], with IVW as the main approach and other methods utilized for the robustness of the results.

MR Egger considers the presence of intercept terms and can provide accurate causal effect estimates in the presence of pleiotropic bias. The weighted median analyzed the causality based on the assumption that half of the IVs were valid. We initially computed the causal estimates using the fixed effects IVW methods for each IV. The random effects IVW was utilized in case of significant heterogeneity (p < 0.05). Forest plots, scatter plots and funnel plots were also produced to depict the causality and the influence of each SNP on the outcome. All MR analyses were run in R 4.0.5 along with the package “Two-sample MR.”

Sensitivity analysis

To exclude pleiotropy, MR Egger was utilized. The intercept term in MR Egger regression is crucial as it indicates the presence of horizontal pleiotropy. Specifically, a significant intercept term (p < 0.05) suggests that there is unbalanced horizontal pleiotropy [31]. Conversely, a non-significant intercept term (p ≥ 0.05) suggests that there is no strong evidence of horizontal pleiotropy, thereby supporting the validity of the causal estimates.

Cochran’s Q was utilized for heterogeneity identification among IVs of each phenotypic exposure [32]. A significant Q statistic (P < 0.05) indicates heterogeneity, suggesting inconsistent effect sizes across IVs. Conversely, a non-significant Q statistic (P ≥ 0.05) suggests no significant heterogeneity and indicates that effect sizes are consistent and can be reliably pooled. Furthermore, Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) was applied for outlier elimination (p < 0.05) and correcting for horizontal pleiotropy [31]. Leave-one-out analysis, which discarded each SNP prior to MR analysis of remaining SNPs on the risk of thromboembolism, was conducted to obtain the effect of each SNP on the overall causality [33].

Results

Screening of IVs associated with epigenetic aging factors

We selected SNPs from GWAS summary data for each phenotypic exposure, applying a stringent threshold. During the harmonization process, we eliminated alleles that were non-concordant and palindromic. Therefore, we acquired a total of 224 IVs associated with the exposure, with 11 for PhenoAge, 4 for GrimAge, 9 for HannumAge, 24 for IEAA, 19 for granulocyte proportions, 5 for PAI1, 138 for telomere length, 8 for FGF23 and 6 for α-Klotho, which all showed an F-statistics > 10 (Supplemental Table 2). Certain SNPs were not found in the outcome and therefore replaced with appropriate proxy SNPs (Supplemental Table 3).

Causal effects of epigenetic aging factors on thromboembolism

Based on the GWAS summary data for thromboembolism, MR analysis revealed significant causality between IEAA and DVT of lower extremities (IVW: OR 0.963, 95% CI 0.934–0.992, P = 0.014), suggesting that IEAA may serve as a risk factor for this condition (Table 1). In addition, genetically predicted levels of FGF23 and other arterial embolism and thrombosis (IVW: OR 1.661, 95% CI 1.051–2.624, P = 0.029) and arterial embolism and thrombosis of lower extremity artery (IVW: OR 1.68, 95% CI 1.031–2.725, P = 0.037) were found to be causally associated, consistent with the weighted median method (Table 1). This suggested the potential of FGF23 in exacerbating thrombotic events. A weak association was observed between PAI1 and other arterial embolism and thrombosis (IVW: OR 1.000, 95% CI 1.000–1.0005, P = 0.029), suggesting a minimal impact on the risk of these conditions (Table 1). No heterogeneity and pleiotropy were identified among these associations (Table 2). MR-PRESSO revealed outliers among associations between α-Klotho and DVT of lower extremities, thrombophlebitis, VTE and PE, between FGF23 and DVT of lower extremities, thrombophlebitis, PE and VTE, between PhenoAge and arterial embolism and thrombosis of lower extremity artery, between telomere length and thrombophlebitis, PE and VTE, the causal associations of which remained negative after outliers were removed (Table 3). We additionally produced scatter plots and forest plots, visually examining for any potential influence of outliers (Figs. 2A–D, 3A–D). Leave-one-out analysis plots and funnel plots further consolidated the stability of the results (Supplemental Figs. 1A–D, 2A–D).

Table 1.

Causal estimates of epigenetic aging factors on thromboembolism

Outcome Exposure N.SNP Methods OR_CI P value
Arterial embolism and thrombosis of lower extremity artery PAI1 5 Inverse variance weighted 1.0001 (0.9998–1.0004) 0.5369
Arterial embolism and thrombosis of lower extremity artery PAI1 5 MR Egger 0.9998 (0.9991–1.0004) 0.5215
Arterial embolism and thrombosis of lower extremity artery PAI1 5 Weighted median 0.9999 (0.9996–1.0002) 0.706
Arterial embolism and thrombosis of lower extremity artery PAI1 5 Weighted mode 0.9999 (0.9994–1.0003) 0.6133
Pulmonary embolism PAI1 5 Inverse variance weighted 1 (0.9999–1) 0.229
Pulmonary embolism PAI1 5 MR Egger 1.0001 (0.9999–1.0002) 0.5325
Pulmonary embolism PAI1 5 Weighted median 0.9999 (0.9998–1) 0.1424
Pulmonary embolism PAI1 5 Weighted mode 1 (0.9999–1.0001) 0.6384
DVT of lower extremities PAI1 5 Inverse variance weighted 1 (0.9999–1.0001) 0.4935
DVT of lower extremities PAI1 5 MR Egger 1 (0.9997–1.0002) 0.756
DVT of lower extremities PAI1 5 Weighted median 1 (0.9999–1.0001) 0.7119
DVT of lower extremities PAI1 5 Weighted mode 1 (0.9999–1.0001) 0.8901
Other arterial embolism and thrombosis PAI1 5 Inverse variance weighted 1.0003 (1–1.0005) 0.0294
Other arterial embolism and thrombosis PAI1 5 MR Egger 0.9999 (0.9993–1.0005) 0.7654
Other arterial embolism and thrombosis PAI1 5 Weighted median 1.0003 (0.9999–1.0006) 0.0981
Other arterial embolism and thrombosis PAI1 5 Weighted mode 1.0002 (0.9999–1.0006) 0.2518
Phlebitis and thrombophlebitis PAI1 5 Inverse variance weighted 0.9999 (0.9998–1.0001) 0.3214
Phlebitis and thrombophlebitis PAI1 5 MR Egger 0.9998 (0.9995–1) 0.1429
Phlebitis and thrombophlebitis PAI1 5 Weighted median 1 (0.9999–1.0001) 0.8411
Phlebitis and thrombophlebitis PAI1 5 Weighted mode 1 (0.9998–1.0001) 0.6743
Venous thromboembolism PAI1 5 Inverse variance weighted 1 (0.9999–1) 0.3209
Venous thromboembolism PAI1 5 MR Egger 1 (0.9999–1.0001) 0.8608
Venous thromboembolism PAI1 5 Weighted median 1 (0.9999–1) 0.3764
Venous thromboembolism PAI1 5 Weighted mode 1 (0.9999–1) 0.5273
Portal vein thrombosis PAI1 5 Inverse variance weighted 1.0002 (0.9998–1.0006) 0.3304
Portal vein thrombosis PAI1 5 MR Egger 1.0001 (0.9991–1.0012) 0.8249
Portal vein thrombosis PAI1 5 Weighted median 1.0002 (0.9997–1.0007) 0.4344
Portal vein thrombosis PAI1 5 Weighted mode 1.0003 (0.9996–1.0009) 0.4585
Arterial embolism and thrombosis of lower extremity artery HannumAge 9 Inverse variance weighted 1.0563 (0.9162–1.2177) 0.4507
Arterial embolism and thrombosis of lower extremity artery HannumAge 9 MR Egger 0.8537 (0.4949–1.4728) 0.5875
Arterial embolism and thrombosis of lower extremity artery HannumAge 9 Weighted median 0.9589 (0.7964–1.1546) 0.658
Arterial embolism and thrombosis of lower extremity artery HannumAge 9 Weighted mode 0.9521 (0.7647–1.1853) 0.6719
Pulmonary embolism HannumAge 9 Inverse variance weighted 1.0257 (0.9784–1.0753) 0.2929
Pulmonary embolism HannumAge 9 MR Egger 0.8792 (0.7333–1.0541) 0.2068
Pulmonary embolism HannumAge 9 Weighted median 1.0314 (0.9699–1.0968) 0.3242
Pulmonary embolism HannumAge 9 Weighted mode 1.0205 (0.9382–1.11) 0.6487
DVT of lower extremities HannumAge 9 Inverse variance weighted 0.9857 (0.9297–1.045) 0.628
DVT of lower extremities HannumAge 9 MR Egger 1.0119 (0.8084–1.2667) 0.9206
DVT of lower extremities HannumAge 9 Weighted median 0.9899 (0.9217–1.0632) 0.7807
DVT of lower extremities HannumAge 9 Weighted mode 0.9908 (0.8982–1.0931) 0.8588
Other arterial embolism and thrombosis HannumAge 9 Inverse variance weighted 1.0611 (0.9059–1.2429) 0.462
Other arterial embolism and thrombosis HannumAge 9 MR Egger 1.1217 (0.6111–2.0587) 0.7219
Other arterial embolism and thrombosis HannumAge 9 Weighted median 1.09 (0.8899–1.3351) 0.4049
Other arterial embolism and thrombosis HannumAge 9 Weighted mode 1.0774 (0.8196–1.4163) 0.6077
Phlebitis and thrombophlebitis HannumAge 9 Inverse variance weighted 1.0106 (0.9525–1.0721) 0.7274
Phlebitis and thrombophlebitis HannumAge 9 MR Egger 1.1894 (0.9655–1.4653) 0.1471
Phlebitis and thrombophlebitis HannumAge 9 Weighted median 0.9963 (0.9293–1.0682) 0.9178
Phlebitis and thrombophlebitis HannumAge 9 Weighted mode 0.9937 (0.9059–1.0899) 0.8963
Venous thromboembolism HannumAge 9 Inverse variance weighted 1.0091 (0.9761–1.0432) 0.5921
Venous thromboembolism HannumAge 9 MR Egger 0.9802 (0.8627–1.1138) 0.7681
Venous thromboembolism HannumAge 9 Weighted median 0.9935 (0.9529–1.0359) 0.7613
Venous thromboembolism HannumAge 9 Weighted mode 0.9919 (0.9411–1.0454) 0.7687
Portal vein thrombosis HannumAge 9 Inverse variance weighted 1.1249 (0.8908–1.4206) 0.3228
Portal vein thrombosis HannumAge 9 MR Egger 1.0881 (0.4441–2.6656) 0.8588
Portal vein thrombosis HannumAge 9 Weighted median 1.195 (0.8881–1.6078) 0.2394
Portal vein thrombosis HannumAge 9 Weighted mode 1.1955 (0.8274–1.7274) 0.3695
Arterial embolism and thrombosis of lower extremity artery PhenoAge 11 Inverse variance weighted 1.028 (0.9004–1.1737) 0.6825
Arterial embolism and thrombosis of lower extremity artery PhenoAge 11 MR Egger 0.8759 (0.5801–1.3226) 0.5442
Arterial embolism and thrombosis of lower extremity artery PhenoAge 11 Weighted median 1.0494 (0.9135–1.2056) 0.4955
Arterial embolism and thrombosis of lower extremity artery PhenoAge 11 Weighted mode 1.0395 (0.8489–1.2728) 0.7157
Pulmonary embolism PhenoAge 11 Inverse variance weighted 1.0019 (0.9697–1.0352) 0.9093
Pulmonary embolism PhenoAge 11 MR Egger 0.9907 (0.8919–1.1005) 0.8661
Pulmonary embolism PhenoAge 11 Weighted median 0.9975 (0.9563–1.0404) 0.906
Pulmonary embolism PhenoAge 11 Weighted mode 0.9934 (0.9314–1.0594) 0.8433
DVT of lower extremities PhenoAge 11 Inverse variance weighted 1.0322 (0.993–1.0729) 0.1084
DVT of lower extremities PhenoAge 11 MR Egger 0.9951 (0.8842–1.12) 0.9371
DVT of lower extremities PhenoAge 11 Weighted median 1.0302 (0.9798–1.0832) 0.2454
DVT of lower extremities PhenoAge 11 Weighted mode 1.0403 (0.9633–1.1234) 0.3377
Other arterial embolism and thrombosis PhenoAge 11 Inverse variance weighted 1.0622 (0.9532–1.1837) 0.275
Other arterial embolism and thrombosis PhenoAge 11 MR Egger 1.224 (0.8755–1.7112) 0.2674
Other arterial embolism and thrombosis PhenoAge 11 Weighted median 1.0374 (0.8921–1.2063) 0.6338
Other arterial embolism and thrombosis PhenoAge 11 Weighted mode 1.0045 (0.7643–1.3203) 0.9749
Phlebitis and thrombophlebitis PhenoAge 11 Inverse variance weighted 0.9955 (0.9607–1.0316) 0.8055
Phlebitis and thrombophlebitis PhenoAge 11 MR Egger 0.9504 (0.8523–1.0598) 0.3842
Phlebitis and thrombophlebitis PhenoAge 11 Weighted median 0.9721 (0.9269–1.0195) 0.2439
Phlebitis and thrombophlebitis PhenoAge 11 Weighted mode 0.9647 (0.8999–1.0343) 0.3356
Venous thromboembolism PhenoAge 11 Inverse variance weighted 1.0106 (0.9886–1.0331) 0.3471
Venous thromboembolism PhenoAge 11 MR Egger 0.9872 (0.9229–1.0559) 0.7162
Venous thromboembolism PhenoAge 11 Weighted median 1.0224 (0.9915–1.0542) 0.1569
Venous thromboembolism PhenoAge 11 Weighted mode 1.0276 (0.9783–1.0795) 0.3029
Portal vein thrombosis PhenoAge 11 Inverse variance weighted 0.9804 (0.8018–1.1987) 0.847
Portal vein thrombosis PhenoAge 11 MR Egger 0.8399 (0.4436–1.5903) 0.6052
Portal vein thrombosis PhenoAge 11 Weighted median 1.044 (0.841–1.2961) 0.6962
Portal vein thrombosis PhenoAge 11 Weighted mode 1.0397 (0.736–1.4687) 0.8296
Arterial embolism and thrombosis of lower extremity artery Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 1.1493 (0.8205–1.6099) 0.4182
Arterial embolism and thrombosis of lower extremity artery Circulating plasma alpha-Klotho levels 5 MR Egger 1.1627 (0.4427–3.0536) 0.7796
Arterial embolism and thrombosis of lower extremity artery Circulating plasma alpha-Klotho levels 5 Weighted median 1.1047 (0.826–1.4774) 0.502
Arterial embolism and thrombosis of lower extremity artery Circulating plasma alpha-Klotho levels 5 Weighted mode 1.4465 (0.9881–2.1175) 0.1305
Pulmonary embolism Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 1.1426 (0.9671–1.35) 0.1173
Pulmonary embolism Circulating plasma alpha-Klotho levels 5 MR Egger 1.4498 (0.9937–2.1153) 0.1496
Pulmonary embolism Circulating plasma alpha-Klotho levels 5 Weighted median 1.0134 (0.9147–1.1228) 0.7988
Pulmonary embolism Circulating plasma alpha-Klotho levels 5 Weighted mode 0.989 (0.8905–1.0983) 0.8457
DVT of lower extremities Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 1.2193 (0.8978–1.6558) 0.2042
DVT of lower extremities Circulating plasma alpha-Klotho levels 5 MR Egger 2.0177 (1.0882–3.7414) 0.1122
DVT of lower extremities Circulating plasma alpha-Klotho levels 5 Weighted median 0.9698 (0.8614–1.0919) 0.6123
DVT of lower extremities Circulating plasma alpha-Klotho levels 5 Weighted mode 0.9295 (0.8266–1.0452) 0.2889
Other arterial embolism and thrombosis Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 0.9483 (0.7654–1.1747) 0.6269
Other arterial embolism and thrombosis Circulating plasma alpha-Klotho levels 5 MR Egger 0.9469 (0.5546–1.6166) 0.8543
Other arterial embolism and thrombosis Circulating plasma alpha-Klotho levels 5 Weighted median 0.9694 (0.7551–1.2447) 0.8076
Other arterial embolism and thrombosis Circulating plasma alpha-Klotho levels 5 Weighted mode 0.9778 (0.7295–1.3107) 0.888
Phlebitis and thrombophlebitis Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 1.1942 (0.9454–1.5084) 0.1366
Phlebitis and thrombophlebitis Circulating plasma alpha-Klotho levels 5 MR Egger 1.8421 (1.2316–2.7552) 0.0589
Phlebitis and thrombophlebitis Circulating plasma alpha-Klotho levels 5 Weighted median 1.0595 (0.9397–1.1945) 0.3451
Phlebitis and thrombophlebitis Circulating plasma alpha-Klotho levels 5 Weighted mode 0.9812 (0.8428–1.1424) 0.8192
Venous thromboembolism Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 1.1657 (0.9512–1.4286) 0.1394
Venous thromboembolism Circulating plasma alpha-Klotho levels 5 MR Egger 1.6063 (1.0464–2.4657) 0.1187
Venous thromboembolism Circulating plasma alpha-Klotho levels 5 Weighted median 0.9973 (0.9304–1.069) 0.9387
Venous thromboembolism Circulating plasma alpha-Klotho levels 5 Weighted mode 0.9914 (0.9258–1.0615) 0.8157
Portal vein thrombosis Circulating plasma alpha-Klotho levels 5 Inverse variance weighted 0.8749 (0.6344–1.2067) 0.4154
Portal vein thrombosis Circulating plasma alpha-Klotho levels 5 MR Egger 1.1939 (0.5134–2.7766) 0.7083
Portal vein thrombosis Circulating plasma alpha-Klotho levels 5 Weighted median 0.8835 (0.5773–1.3521) 0.5684
Portal vein thrombosis Circulating plasma alpha-Klotho levels 5 Weighted mode 1.2336 (0.6922–2.1987) 0.5157
Arterial embolism and thrombosis of lower extremity artery GrimAge 4 Inverse variance weighted 1.1536 (0.8906–1.4943) 0.279
Arterial embolism and thrombosis of lower extremity artery GrimAge 4 MR Egger 18.0742 (0.3639–897.6039) 0.2835
Arterial embolism and thrombosis of lower extremity artery GrimAge 4 Weighted median 1.1728 (0.8793–1.5643) 0.2781
Arterial embolism and thrombosis of lower extremity artery GrimAge 4 Weighted mode 1.2058 (0.7908–1.8387) 0.4485
Pulmonary embolism GrimAge 4 Inverse variance weighted 0.9538 (0.8834–1.0298) 0.2266
Pulmonary embolism GrimAge 4 MR Egger 1.2556 (0.3435–4.5889) 0.7635
Pulmonary embolism GrimAge 4 Weighted median 0.958 (0.8783–1.045) 0.3337
Pulmonary embolism GrimAge 4 Weighted mode 0.9639 (0.8607–1.0794) 0.5695
DVT of lower extremities GrimAge 4 Inverse variance weighted 1.0336 (0.9102–1.1737) 0.6107
DVT of lower extremities GrimAge 4 MR Egger 0.8912 (0.0646–12.2899) 0.9392
DVT of lower extremities GrimAge 4 Weighted median 0.9879 (0.8777–1.1121) 0.8408
DVT of lower extremities GrimAge 4 Weighted mode 0.9631 (0.8321–1.1146) 0.6485
Other arterial embolism and thrombosis GrimAge 4 Inverse variance weighted 0.9157 (0.7085–1.1834) 0.5007
Other arterial embolism and thrombosis GrimAge 4 MR Egger 0.6469 (0.0084–49.5764) 0.8622
Other arterial embolism and thrombosis GrimAge 4 Weighted median 0.9018 (0.6714–1.2113) 0.4924
Other arterial embolism and thrombosis GrimAge 4 Weighted mode 0.8513 (0.5649–1.2829) 0.4978
Phlebitis and thrombophlebitis GrimAge 4 Inverse variance weighted 0.9427 (0.8385–1.0598) 0.3229
Phlebitis and thrombophlebitis GrimAge 4 MR Egger 0.3423 (0.0475–2.4668) 0.3988
Phlebitis and thrombophlebitis GrimAge 4 Weighted median 0.9756 (0.8756–1.087) 0.6545
Phlebitis and thrombophlebitis GrimAge 4 Weighted mode 1.0024 (0.8523–1.1789) 0.979
Venous thromboembolism GrimAge 4 Inverse variance weighted 0.9769 (0.919–1.0385) 0.4545
Venous thromboembolism GrimAge 4 MR Egger 1.1206 (0.3206–3.917) 0.8749
Venous thromboembolism GrimAge 4 Weighted median 0.9681 (0.9045–1.0362) 0.3501
Venous thromboembolism GrimAge 4 Weighted mode 0.9634 (0.879–1.0559) 0.4835
Portal vein thrombosis GrimAge 4 Inverse variance weighted 0.9253 (0.5139–1.6661) 0.7958
Portal vein thrombosis GrimAge 4 MR Egger 235.0712 (0.0188–2,932,589.7984) 0.3742
Portal vein thrombosis GrimAge 4 Weighted median 1.1034 (0.683–1.7828) 0.6876
Portal vein thrombosis GrimAge 4 Weighted mode 1.1461 (0.6524–2.0134) 0.6675
Arterial embolism and thrombosis of lower extremity artery IEAA 24 Inverse variance weighted 1.0144 (0.9426–1.0916) 0.7027
Arterial embolism and thrombosis of lower extremity artery IEAA 24 MR Egger 1.0593 (0.8883–1.2632) 0.5278
Arterial embolism and thrombosis of lower extremity artery IEAA 24 Weighted median 0.98 (0.8722–1.1012) 0.7344
Arterial embolism and thrombosis of lower extremity artery IEAA 24 Weighted mode 0.978 (0.8353–1.1452) 0.7851
Pulmonary embolism IEAA 24 Inverse variance weighted 0.9759 (0.9488–1.0038) 0.0902
Pulmonary embolism IEAA 24 MR Egger 0.9579 (0.8952–1.0249) 0.2253
Pulmonary embolism IEAA 24 Weighted median 0.9682 (0.9336–1.004) 0.081
Pulmonary embolism IEAA 24 Weighted mode 0.9701 (0.9249–1.0175) 0.2245
DVT of lower extremities IEAA 24 Inverse variance weighted 0.963 (0.9344–0.9924) 0.0141
DVT of lower extremities IEAA 24 MR Egger 0.9668 (0.9005–1.0379) 0.3609
DVT of lower extremities IEAA 24 Weighted median 0.9722 (0.9304–1.016) 0.2102
DVT of lower extremities IEAA 24 Weighted mode 0.9647 (0.9115–1.0211) 0.2277
Other arterial embolism and thrombosis IEAA 24 Inverse variance weighted 0.9885 (0.9048–1.0801) 0.7985
Other arterial embolism and thrombosis IEAA 24 MR Egger 1.0082 (0.8149–1.2473) 0.9409
Other arterial embolism and thrombosis IEAA 24 Weighted median 1.0294 (0.9161–1.1567) 0.6264
Other arterial embolism and thrombosis IEAA 24 Weighted mode 1.0266 (0.8882–1.1866) 0.7257
Phlebitis and thrombophlebitis IEAA 24 Inverse variance weighted 1.0061 (0.9694–1.0441) 0.7489
Phlebitis and thrombophlebitis IEAA 24 MR Egger 1.0136 (0.9265–1.1088) 0.7715
Phlebitis and thrombophlebitis IEAA 24 Weighted median 0.9871 (0.9453–1.0308) 0.5581
Phlebitis and thrombophlebitis IEAA 24 Weighted mode 0.9821 (0.9132–1.0561) 0.6305
Venous thromboembolism IEAA 24 Inverse variance weighted 0.9865 (0.966–1.0074) 0.2029
Venous thromboembolism IEAA 24 MR Egger 0.9772 (0.9291–1.0278) 0.3812
Venous thromboembolism IEAA 24 Weighted median 0.991 (0.9659–1.0169) 0.4925
Venous thromboembolism IEAA 24 Weighted mode 0.986 (0.9538–1.0193) 0.4143
Portal vein thrombosis IEAA 24 Inverse variance weighted 1.0204 (0.9042–1.1515) 0.743
Portal vein thrombosis IEAA 24 MR Egger 0.9233 (0.6929–1.2303) 0.5912
Portal vein thrombosis IEAA 24 Weighted median 1.0723 (0.8951–1.2846) 0.449
Portal vein thrombosis IEAA 24 Weighted mode 1.1051 (0.823–1.4839) 0.5128
Arterial embolism and thrombosis of lower extremity artery Fibroblast growth factor 23 levels 8 Inverse variance weighted 1.6766 (1.0314–2.7255) 0.0371
Arterial embolism and thrombosis of lower extremity artery Fibroblast growth factor 23 levels 8 MR Egger 1.1593 (0.1739–7.7295) 0.8836
Arterial embolism and thrombosis of lower extremity artery Fibroblast growth factor 23 levels 8 Weighted median 1.8414 (1.0253–3.307) 0.041
Arterial embolism and thrombosis of lower extremity artery Fibroblast growth factor 23 levels 8 Weighted mode 2.3152 (0.8674–6.1796) 0.1376
Pulmonary embolism Fibroblast growth factor 23 levels 8 Inverse variance weighted 1.6756 (0.873–3.2162) 0.1208
Pulmonary embolism Fibroblast growth factor 23 levels 8 MR Egger 0.9083 (0.0731–11.2882) 0.9428
Pulmonary embolism Fibroblast growth factor 23 levels 8 Weighted median 1.1584 (0.9495–1.4131) 0.1472
Pulmonary embolism Fibroblast growth factor 23 levels 8 Weighted mode 1.1087 (0.8718–1.4099) 0.4281
DVT of lower extremities Fibroblast growth factor 23 levels 8 Inverse variance weighted 1.838 (0.6461–5.2292) 0.2538
DVT of lower extremities Fibroblast growth factor 23 levels 8 MR Egger 0.9454 (0.0159–56.2531) 0.9794
DVT of lower extremities Fibroblast growth factor 23 levels 8 Weighted median 1.051 (0.8374–1.319) 0.6679
DVT of lower extremities Fibroblast growth factor 23 levels 8 Weighted mode 1.0404 (0.7963–1.3592) 0.7801
Other arterial embolism and thrombosis Fibroblast growth factor 23 levels 8 Inverse variance weighted 1.661 (1.0515–2.6237) 0.0296
Other arterial embolism and thrombosis Fibroblast growth factor 23 levels 8 MR Egger 1.5355 (0.2888–8.1645) 0.6329
Other arterial embolism and thrombosis Fibroblast growth factor 23 levels 8 Weighted median 1.535 (0.8227–2.8641) 0.1781
Other arterial embolism and thrombosis Fibroblast growth factor 23 levels 8 Weighted mode 1.0397 (0.3378–3.1997) 0.9478
Phlebitis and thrombophlebitis Fibroblast growth factor 23 levels 8 Inverse variance weighted 1.6514 (0.6913–3.945) 0.2589
Phlebitis and thrombophlebitis Fibroblast growth factor 23 levels 8 MR Egger 0.6945 (0.0241–19.9755) 0.8386
Phlebitis and thrombophlebitis Fibroblast growth factor 23 levels 8 Weighted median 1.0437 (0.8467–1.2865) 0.6888
Phlebitis and thrombophlebitis Fibroblast growth factor 23 levels 8 Weighted mode 1.0552 (0.8176–1.3619) 0.6919
Venous thromboembolism Fibroblast growth factor 23 levels 8 Inverse variance weighted 1.6847 (0.7696–3.6879) 0.192
Venous thromboembolism Fibroblast growth factor 23 levels 8 MR Egger 0.8861 (0.0423–18.5408) 0.9404
Venous thromboembolism Fibroblast growth factor 23 levels 8 Weighted median 1.0404 (0.9027–1.1991) 0.5843
Venous thromboembolism Fibroblast growth factor 23 levels 8 Weighted mode 1.0073 (0.8367–1.2128) 0.9406
Portal vein thrombosis Fibroblast growth factor 23 levels 8 Inverse variance weighted 0.9412 (0.4792–1.8486) 0.8604
Portal vein thrombosis Fibroblast growth factor 23 levels 8 MR Egger 2.6005 (0.2243–30.1527) 0.4736
Portal vein thrombosis Fibroblast growth factor 23 levels 8 Weighted median 0.8242 (0.3372–2.0145) 0.6716
Portal vein thrombosis Fibroblast growth factor 23 levels 8 Weighted mode 0.7664 (0.1948–3.0149) 0.7147
Arterial embolism and thrombosis of lower extremity artery Granulocyte proportions 17 Inverse variance weighted 0.445 (6e-04–330.4622) 0.8103
Arterial embolism and thrombosis of lower extremity artery Granulocyte proportions 17 MR Egger 20.56 (0–3,348,467,402.5206) 0.7583
Arterial embolism and thrombosis of lower extremity artery Granulocyte proportions 17 Weighted median 0.0144 (0–30.5736) 0.2781
Arterial embolism and thrombosis of lower extremity artery Granulocyte proportions 17 Weighted mode 5e-04 (0–13.3953) 0.1634
Pulmonary embolism Granulocyte proportions 17 Inverse variance weighted 0.6016 (0.0992–3.6488) 0.5806
Pulmonary embolism Granulocyte proportions 17 MR Egger 1.3205 (0.009–193.2275) 0.9144
Pulmonary embolism Granulocyte proportions 17 Weighted median 0.6808 (0.0584–7.941) 0.759
Pulmonary embolism Granulocyte proportions 17 Weighted mode 0.5273 (0.0114–24.402) 0.7478
DVT of lower extremities Granulocyte proportions 17 Inverse variance weighted 1.2366 (0.124–12.3367) 0.8564
DVT of lower extremities Granulocyte proportions 17 MR Egger 0.3527 (5e-04–243.765) 0.759
DVT of lower extremities Granulocyte proportions 17 Weighted median 4.0782 (0.1457–114.1372) 0.4083
DVT of lower extremities Granulocyte proportions 17 Weighted mode 18.1044 (0.0116–28,202.9539) 0.4513
Other arterial embolism and thrombosis Granulocyte proportions 17 Inverse variance weighted 0.0084 (0–14.3396) 0.2083
Other arterial embolism and thrombosis Granulocyte proportions 17 MR Egger 6404.8057 (0–2,728,161,929,173.31) 0.4009
Other arterial embolism and thrombosis Granulocyte proportions 17 Weighted median 0.8313 (1e-04–6261.454) 0.9676
Other arterial embolism and thrombosis Granulocyte proportions 17 Weighted mode 0.6123 (0–94,765.3308) 0.9369
Phlebitis and thrombophlebitis Granulocyte proportions 17 Inverse variance weighted 0.4733 (0.0462–4.8464) 0.5285
Phlebitis and thrombophlebitis Granulocyte proportions 17 MR Egger 79.5555 (0.1914–33,072.3351) 0.1753
Phlebitis and thrombophlebitis Granulocyte proportions 17 Weighted median 0.2253 (0.0144–3.5196) 0.2879
Phlebitis and thrombophlebitis Granulocyte proportions 17 Weighted mode 0.2386 (0.0047–12.0739) 0.4845
Venous thromboembolism Granulocyte proportions 17 Inverse variance weighted 0.6193 (0.1459–2.628) 0.5158
Venous thromboembolism Granulocyte proportions 17 MR Egger 1.6196 (0.027–97.3142) 0.8206
Venous thromboembolism Granulocyte proportions 17 Weighted median 0.987 (0.1371–7.1068) 0.9897
Venous thromboembolism Granulocyte proportions 17 Weighted mode 3.4619 (0.0538–222.7793) 0.5671
Portal vein thrombosis Granulocyte proportions 17 Inverse variance weighted 0.9453 (0–189,361.1019) 0.9928
Portal vein thrombosis Granulocyte proportions 17 MR Egger 144,137,284.7907 (0–4.55585213355333e + 22) 0.2875
Portal vein thrombosis Granulocyte proportions 17 Weighted median 1.8643 (0–4,086,034.95) 0.9334
Portal vein thrombosis Granulocyte proportions 17 Weighted mode 16.8321 (0–67,786,189,361,647,096) 0.8795
Arterial embolism and thrombosis of lower extremity artery Telomere length 130 Inverse variance weighted 1.155 (0.795–1.6781) 0.4496
Arterial embolism and thrombosis of lower extremity artery Telomere length 130 MR Egger 0.9434 (0.4874–1.8261) 0.8631
Arterial embolism and thrombosis of lower extremity artery Telomere length 130 Weighted median 1.1652 (0.6754–2.0102) 0.5827
Arterial embolism and thrombosis of lower extremity artery Telomere length 130 Weighted mode 1.1461 (0.6302–2.0844) 0.6558
Pulmonary embolism Telomere length 130 Inverse variance weighted 0.924 (0.8055–1.06) 0.2592
Pulmonary embolism Telomere length 130 MR Egger 0.9166 (0.7188–1.1688) 0.4837
Pulmonary embolism Telomere length 130 Weighted median 1.0155 (0.8218–1.255) 0.8864
Pulmonary embolism Telomere length 130 Weighted mode 1.0736 (0.8581–1.3432) 0.5354
DVT of lower extremities Telomere length 130 Inverse variance weighted 0.9092 (0.7871–1.0501) 0.1953
DVT of lower extremities Telomere length 130 MR Egger 0.8291 (0.6428–1.0694) 0.1514
DVT of lower extremities Telomere length 130 Weighted median 0.9131 (0.7318–1.1394) 0.4211
DVT of lower extremities Telomere length 130 Weighted mode 0.8892 (0.6934–1.1403) 0.3565
Other arterial embolism and thrombosis Telomere length 130 Inverse variance weighted 0.948 (0.6324–1.4211) 0.7959
Other arterial embolism and thrombosis Telomere length 130 MR Egger 0.8661 (0.4229–1.7736) 0.6948
Other arterial embolism and thrombosis Telomere length 130 Weighted median 0.9232 (0.4879–1.7466) 0.8058
Other arterial embolism and thrombosis Telomere length 130 Weighted mode 0.8868 (0.4321–1.8201) 0.7438
Phlebitis and thrombophlebitis Telomere length 130 Inverse variance weighted 1.1297 (0.9856–1.2949) 0.0798
Phlebitis and thrombophlebitis Telomere length 130 MR Egger 1.0097 (0.794–1.2839) 0.9376
Phlebitis and thrombophlebitis Telomere length 130 Weighted median 1.1047 (0.8867–1.3763) 0.3746
Phlebitis and thrombophlebitis Telomere length 130 Weighted mode 1.0662 (0.8058–1.4107) 0.6546
Venous thromboembolism Telomere length 130 Inverse variance weighted 0.9487 (0.8523–1.0561) 0.3359
Venous thromboembolism Telomere length 130 MR Egger 0.9388 (0.7766–1.1349) 0.5155
Venous thromboembolism Telomere length 130 Weighted median 0.8973 (0.7847–1.0261) 0.1134
Venous thromboembolism Telomere length 130 Weighted mode 0.8787 (0.74–1.0433) 0.1423
Portal vein thrombosis Telomere length 130 Inverse variance weighted 1.279 (0.7408–2.2082) 0.3771
Portal vein thrombosis Telomere length 130 MR Egger 1.4762 (0.5635–3.8674) 0.4294
Portal vein thrombosis Telomere length 130 Weighted median 1.2242 (0.5061–2.961) 0.6535
Portal vein thrombosis Telomere length 130 Weighted mode 0.9886 (0.3491–2.7995) 0.9828

Table 2.

Heterogeneity and pleiotropy for each exposure factor on thromboembolism

Outcome Exposure Heterogeneity Pleiotropy
Q statistic (IVW) P value MR Egger Intercept P value
Arterial embolism and thrombosis of lower extremity artery Circulating plasma alpha-Klotho levels 12.791 0.012 − 0.003 0.981
DVT of lower extremities Circulating plasma alpha-Klotho levels 62.882 0 − 0.137 0.179
Other arterial embolism and thrombosis Circulating plasma alpha-Klotho levels 2.39 0.665 0 0.996
Phlebitis and thrombophlebitis Circulating plasma alpha-Klotho levels 42.713 0 − 0.117 0.105
Portal vein thrombosis Circulating plasma alpha-Klotho levels 4.109 0.392 − 0.083 0.488
Pulmonary embolism Circulating plasma alpha-Klotho levels 27.934 0 − 0.064 0.27
Venous thromboembolism Circulating plasma alpha-Klotho levels 84.111 0 − 0.086 0.208
Arterial embolism and thrombosis of lower extremity artery Fibroblast growth factor 23 levels 9.812 0.199 0.032 0.706
DVT of lower extremities Fibroblast growth factor 23 levels 270.753 0 0.057 0.751
Other arterial embolism and thrombosis Fibroblast growth factor 23 levels 5.353 0.617 0.007 0.927
Phlebitis and thrombophlebitis Fibroblast growth factor 23 levels 221.154 0 0.074 0.618
Portal vein thrombosis Fibroblast growth factor 23 levels 6.077 0.531 − 0.087 0.43
Pulmonary embolism Fibroblast growth factor 23 levels 160.509 0 0.053 0.638
Venous thromboembolism Fibroblast growth factor 23 levels 467.86 0 0.055 0.682
Arterial embolism and thrombosis of lower extremity artery Granulocyte proportions 23.46 0.102 − 0.021 0.676
DVT of lower extremities Granulocyte proportions 17.037 0.383 0.007 0.692
Other arterial embolism and thrombosis Granulocyte proportions 24.411 0.081 − 0.076 0.172
Phlebitis and thrombophlebitis Granulocyte proportions 20.557 0.196 − 0.029 0.094
Portal vein thrombosis Granulocyte proportions 29.996 0.018 − 0.105 0.254
Pulmonary embolism Granulocyte proportions 10.628 0.832 − 0.004 0.745
Venous thromboembolism Granulocyte proportions 20.761 0.188 − 0.005 0.629
Arterial embolism and thrombosis of lower extremity artery GrimAge 3.764 0.288 − 0.512 0.301
DVT of lower extremities GrimAge 5.394 0.145 0.028 0.922
Other arterial embolism and thrombosis GrimAge 0.808 0.848 0.065 0.889
Phlebitis and thrombophlebitis GrimAge 5.399 0.145 0.188 0.42
portal vein thrombosis GrimAge 7.183 0.066 − 1.03 0.368
Pulmonary embolism GrimAge 0.82 0.845 − 0.051 0.718
Venous thromboembolism GrimAge 3.85 0.278 − 0.026 0.85
Arterial embolism and thrombosis of lower extremity artery HannumAge 6.343 0.609 0.055 0.454
DVT of lower extremities HannumAge 2.047 0.98 − 0.007 0.819
Other arterial embolism and thrombosis HannumAge 6.71 0.568 − 0.014 0.858
Phlebitis and thrombophlebitis HannumAge 9.683 0.288 − 0.042 0.157
portal vein thrombosis HannumAge 4.321 0.827 0.009 0.942
Pulmonary embolism HannumAge 6.844 0.554 0.04 0.128
Venous thromboembolism HannumAge 2.248 0.972 0.008 0.658
Arterial embolism and thrombosis of lower extremity artery IEAA 22.951 0.464 − 0.014 0.6
DVT of lower extremities IEAA 16.678 0.825 − 0.001 0.906
Other arterial embolism and thrombosis IEAA 27.255 0.245 − 0.006 0.843
Phlebitis and thrombophlebitis IEAA 41.12 0.011 − 0.002 0.86
portal vein thrombosis IEAA 22.665 0.48 0.031 0.459
Pulmonary embolism IEAA 30.899 0.125 0.006 0.557
Venous thromboembolism IEAA 34.529 0.058 0.003 0.691
Arterial embolism and thrombosis of lower extremity artery PAI1 5.515 0.238 0.24 0.351
DVT of lower extremities PAI1 2.157 0.707 0.004 0.96
Other arterial embolism and thrombosis PAI1 3.731 0.444 0.296 0.256
Phlebitis and thrombophlebitis PAI1 6.954 0.138 0.131 0.202
Portal vein thrombosis PAI1 4.28 0.369 0.049 0.904
Pulmonary embolism PAI1 2.432 0.657 − 0.086 0.27
Venous thromboembolism PAI1 0.176 0.996 − 0.012 0.812
Arterial embolism and thrombosis of lower extremity artery PhenoAge 20.1 0.028 0.061 0.441
DVT of lower extremities PhenoAge 6.61 0.762 0.014 0.537
Other arterial embolism and thrombosis PhenoAge 10.764 0.376 − 0.054 0.403
Phlebitis and thrombophlebitis PhenoAge 7.619 0.666 0.018 0.4
Portal vein thrombosis PhenoAge 16.774 0.08 0.059 0.627
Pulmonary embolism PhenoAge 10.925 0.363 0.004 0.83
Venous thromboembolism PhenoAge 7.614 0.667 0.009 0.489
Arterial embolism and thrombosis of lower extremity artery Telomere length 163.435 0.022 0.007 0.467
DVT of lower extremities Telomere length 144.202 0.17 0.003 0.391
Other arterial embolism and thrombosis Telomere length 155.466 0.056 0.003 0.765
Phlebitis and thrombophlebitis Telomere length 152.703 0.076 0.004 0.268
Portal vein thrombosis Telomere length 101.641 0.964 − 0.005 0.724
Pulmonary embolism Telomere length 200.123 0 0 0.937
Venous thromboembolism Telomere length 246.465 0 0 0.896

Table 3.

MR-PRESSO results of the MR analysis

Outcome Exposure Raw Outlier corrected Global p outliers Distortion p
OR_CI P OR_CI P
Arterial embolism and thrombosis of lower extremity artery Circulating plasma alpha-Klotho levels 1.1493 (0.8205–1.6099) 0.4636 NA (NA–NA) NA 0.075 NA NA
Arterial embolism and thrombosis of lower extremity artery Fibroblast growth factor 23 levels 1.6766 (1.0314–2.7255) 0.0756 NA (NA–NA) NA 0.251 NA NA
Arterial embolism and thrombosis of lower extremity artery Granulocyte proportions 0.441 (8e-04–232.0941) 0.8009 NA (NA–NA) NA 0.142 NA NA
Arterial embolism and thrombosis of lower extremity artery GrimAge 1.1536 (0.8906–1.4943) 0.3582 NA (NA–NA) NA 0.354 NA NA
Arterial embolism and thrombosis of lower extremity artery HannumAge 1.0563 (0.9306–1.1989) 0.4215 NA (NA–NA) NA 0.639 NA NA
Arterial embolism and thrombosis of lower extremity artery IEAA 1.0144 (0.9427–1.0915) 0.7059 NA (NA–NA) NA 0.466 NA NA
Arterial embolism and thrombosis of lower extremity artery PAI1 1.0001 (0.9998–1.0004) 0.5703 NA (NA–NA) NA 0.334 NA NA
Arterial embolism and thrombosis of lower extremity artery PhenoAge 1.028 (0.9004–1.1737) 0.6912 1.0798 (0.9684–1.2041) 0.2005 0.034 1 0.56
Arterial embolism and thrombosis of lower extremity artery Telomere length 1.1093 (0.7665–1.6054) 0.5831 NA (NA–NA) NA 0.022 NA NA
DVT of lower extremities Circulating plasma alpha-Klotho levels 1.2193 (0.8978–1.6558) 0.2731 0.9674 (0.8727–1.0724) 0.6422  < 0.001 3  < 0.001
DVT of lower extremities Fibroblast growth factor 23 levels 1.838 (0.6461–5.2292) 0.2914 1.1056 (0.9653–1.2663) 0.2429  < 0.001 4  < 0.001
DVT of lower extremities Granulocyte proportions 0.8852 (0.0887–8.8367) 0.9185 NA (NA–NA) NA 0.259 NA NA
DVT of lower extremities GrimAge 1.0336 (0.9102–1.1737) 0.6458 NA (NA–NA) NA 0.226 NA NA
DVT of lower extremities HannumAge 0.9857 (0.957–1.0152) 0.3661 NA (NA–NA) NA 0.975 NA NA
DVT of lower extremities IEAA 0.963 (0.9386–0.988) 0.0084 NA (NA–NA) NA 0.829 NA NA
DVT of lower extremities PAI1 1 (0.9999–1) 0.4038 NA (NA–NA) NA 0.754 NA NA
DVT of lower extremities PhenoAge 1.0322 (1.0002–1.0651) 0.0765 NA (NA–NA) NA 0.76 NA NA
DVT of lower extremities Telomere length 0.9147 (0.7941–1.0537) 0.219 NA (NA–NA) NA 0.197 NA NA
Other arterial embolism and thrombosis Circulating plasma alpha-Klotho levels 0.9483 (0.8036–1.119) 0.5635 NA (NA–NA) NA 0.733 NA NA
Other arterial embolism and thrombosis Fibroblast growth factor 23 levels 1.661 (1.1137–2.4774) 0.0417 NA (NA–NA) NA 0.573 NA NA
Other arterial embolism and thrombosis Granulocyte proportions 0.0132 (0–16.2968) 0.2497 NA (NA–NA) NA 0.105 NA NA
Other arterial embolism and thrombosis GrimAge 0.9157 (0.8015–1.046) 0.2852 NA (NA–NA) NA 0.849 NA NA
Other arterial embolism and thrombosis HannumAge 1.0611 (0.9181–1.2265) 0.4451 NA (NA–NA) NA 0.607 NA NA
Other arterial embolism and thrombosis IEAA 0.9885 (0.9048–1.0801) 0.8008 NA (NA–NA) NA 0.279 NA NA
Other arterial embolism and thrombosis PAI1 1.0003 (1–1.0005) 0.0871 NA (NA–NA) NA 0.492 NA NA
Other arterial embolism and thrombosis PhenoAge 1.0622 (0.9532–1.1837) 0.3006 NA (NA–NA) NA 0.358 NA NA
Other arterial embolism and thrombosis telomere length 0.9246 (0.6187–1.3817) 0.7025 NA (NA–NA) NA 0.053 NA NA
Phlebitis and thrombophlebitis Circulating plasma alpha-Klotho levels 1.1942 (0.9454–1.5084) 0.2108 1.0406 (0.8516–1.2715) 0.7639 0.002 3 1
Phlebitis and thrombophlebitis Fibroblast growth factor 23 levels 1.6514 (0.6913–3.945) 0.2961 1.0933 (0.9438–1.2664) 0.3001  < 0.001 3  < 0.001
Phlebitis and thrombophlebitis Granulocyte proportions 0.3401 (0.0334–3.4668) 0.3753 NA (NA–NA) NA 0.196 NA NA
Phlebitis and thrombophlebitis GrimAge 0.9427 (0.8385–1.0598) 0.3958 NA (NA–NA) NA 0.227 NA NA
Phlebitis and thrombophlebitis HannumAge 1.0106 (0.9525–1.0721) 0.7363 NA (NA–NA) NA 0.356 NA NA
Phlebitis and thrombophlebitis IEAA 1.0061 (0.9694–1.0441) 0.7517 NA (NA–NA) NA 0.007 NA NA
Phlebitis and thrombophlebitis PAI1 0.9999 (0.9998–1.0001) 0.3776 NA (NA–NA) NA 0.25 NA NA
Phlebitis and thrombophlebitis PhenoAge 0.9955 (0.9651–1.027) 0.7836 NA (NA–NA) NA 0.689 NA NA
Phlebitis and thrombophlebitis Telomere length 1.1098 (0.9665–1.2742) 0.1421 1.1228 (0.982–1.2839) 0.0927 0.033 1 0.895
Portal vein thrombosis Circulating plasma alpha-Klotho levels 0.8749 (0.6344–1.2067) 0.4611 NA (NA–NA) NA 0.39 NA NA
Portal vein thrombosis Fibroblast growth factor 23 levels 0.9412 (0.5018–1.7654) 0.8557 NA (NA–NA) NA 0.542 NA NA
Portal vein thrombosis Granulocyte proportions 0.3368 (0–44,735.1727) 0.8586 NA (NA–NA) NA 0.016 NA NA
Portal vein thrombosis GrimAge 0.9253 (0.5139–1.6661) 0.8125 NA (NA–NA) NA 0.132 NA NA
Portal vein thrombosis HannumAge 1.1249 (0.9476–1.3354) 0.2154 NA (NA–NA) NA 0.86 NA NA
Portal vein thrombosis IEAA 1.0204 (0.905–1.1505) 0.7442 NA (NA–NA) NA 0.46 NA NA
Portal vein thrombosis PAI1 1.0002 (0.9998–1.0006) 0.3855 NA (NA–NA) NA 0.435 NA NA
Portal vein thrombosis PhenoAge 0.9804 (0.8018–1.1987) 0.8509 NA (NA–NA) NA 0.098 NA NA
Portal vein thrombosis Telomere length 1.2326 (0.7546–2.0134) 0.4049 NA (NA–NA) NA 0.932 NA NA
Pulmonary embolism Circulating plasma alpha-Klotho levels 1.1426 (0.9671–1.35) 0.1923 1.0012 (0.9636–1.0403) 0.9559 0.014 2  < 0.001
Pulmonary embolism Fibroblast growth factor 23 levels 1.6756 (0.873–3.2162) 0.1647 1.2381 (1.1013–1.392) 0.016  < 0.001 2  < 0.001
Pulmonary embolism Granulocyte proportions 0.588 (0.1459–2.3696) 0.4654 NA (NA–NA) NA 0.849 NA NA
Pulmonary embolism GrimAge 0.9538 (0.9163–0.9928) 0.1038 NA (NA–NA) NA 0.86 NA NA
Pulmonary embolism HannumAge 1.0257 (0.9818–1.0715) 0.2883 NA (NA–NA) NA 0.57 NA NA
Pulmonary embolism IEAA 0.9759 (0.9488–1.0038) 0.1037 NA (NA–NA) NA 0.134 NA NA
Pulmonary embolism PAI1 1 (0.9999–1) 0.1978 NA (NA–NA) NA 0.644 NA NA
Pulmonary embolism PhenoAge 1.0019 (0.9697–1.0352) 0.9116 NA (NA–NA) NA 0.399 NA NA
Pulmonary embolism Telomere length 0.9247 (0.8079–1.0583) 0.2577 0.9198 (0.8085–1.0463) 0.2058  < 0.001 2 0.952
Venous thromboembolism Circulating plasma alpha-Klotho levels 1.1657 (0.9512–1.4286) 0.2134 0.9661 (NaN–NaN) NA  < 0.001 4  < 0.001
Venous thromboembolism Fibroblast growth factor 23 levels 1.6847 (0.7696–3.6879) 0.2332 1.2722 (1.2147–1.3325) 0.0095  < 0.001 5 1
Venous thromboembolism Granulocyte proportions 0.5238 (0.1268–2.1643) 0.3842 NA (NA–NA) NA 0.144 NA NA
Venous thromboembolism GrimAge 0.9769 (0.919–1.0385) 0.5088 NA (NA–NA) NA 0.397 NA NA
Venous thromboembolism HannumAge 1.0091 (0.9915–1.0271) 0.3417 NA (NA–NA) NA 0.969 NA NA
Venous thromboembolism IEAA 0.9865 (0.966–1.0074) 0.2156 NA (NA–NA) NA 0.063 NA NA
Venous thromboembolism PAI1 1 (1–1) 0.0091 NA (NA–NA) NA 0.994 NA NA
Venous thromboembolism PhenoAge 1.0106 (0.9914–1.0302) 0.3066 NA (NA–NA) NA 0.67 NA NA
Venous thromboembolism Telomere length 0.9443 (0.8494–1.0498) 0.2909 0.9419 (0.8524–1.0408) 0.2423  < 0.001 2 0.968

Fig. 2.

Fig. 2

MR analyses of the causal relationships between epigenetic aging factors and thromboembolism. Scatter plots of causal association between A PAI1 and other arterial embolism and thrombosis; B IEAA and DVT of lower extremities; C FGF23 and arterial embolism and thrombosis of lower extremity artery; D FGF23 and other arterial embolism and thrombosis. The slopes depicted the causal associations, with each line representing a different methodology

Fig. 3.

Fig. 3

Forest plots for MR analyses of the causal relationships between epigenetic aging factors and thromboembolism. The causal effect of A PAI1 on other arterial embolism and thrombosis; B IEAA on DVT of lower extremities; C FGF23 on arterial embolism and thrombosis of lower extremity artery; D FGF23 on other arterial embolism and thrombosis. The MR estimate derived from the MR Egger and IVW methods was shown for comparison

Screening of IVs associated with thromboembolism

We extracted SNPs from GWAS summary statistics of each thromboembolism subtype. In total, we acquired 92 IVs associated with the exposure, with 33 for VTE, 16 for PE, 4 for PVT, 11 for thrombophlebitis, 13 for DVT of lower extremities, nine for arterial embolism and thrombosis of lower extremity artery and six for other arterial embolism and thrombosis, which all showed an F-statistics > 10 (Supplemental Table 2). Some SNPs missing in the outcome data were replaced with suitable proxy SNPs, as detailed in Supplemental Table 3.

Causal effects of thromboembolism on epigenetic aging factors

To assess any reverse causality between genetically determined levels of epigenetic aging factors and thromboembolism, we considered each thromboembolism subtype as the exposure and epigenetic aging factors as the outcome. In the context of PVT, the causal association with PhenoAge (IVW: OR 0.871, 95% CI 0.765–0.992, P = 0.037) was identified, suggesting that PVT might decelerate epigenetic aging (Table 4). In addition, VTE was found to be causally associated with GrimAge (IVW: OR 1.186, 95% CI 1.048–1.341, P = 0.007), indicating VTE as a potential contributor to epigenetic aging (Table 4). Sensitivity analysis identified no heterogeneity and pleiotropy among these associations (Table 5). Additionally, MR-PRESSO revealed outliers among associations between DVT of lower extremities and FGF23, HannumAge, IEAA and telomere length, and between other arterial embolism and thrombosis and telomere length, between thrombophlebitis and FGF23 and HannumAge, between PE and FGF23, and between VTE and FGF23 and telomere length (Table 6). Finally, the robustness of our findings was confirmed and visualized via leave-one-out analysis plots and funnel plots (Supplemental Figs. 3A, B, 4A, B).

Table 4.

Causal estimates of thromboembolism on epigenetic aging factors

Outcome Exposure N.SNP Methods OR_CI
PAI1 Pulmonary embolism 14 Inverse variance weighted 1.2662 (0.9027–1.7762)
PAI1 Pulmonary embolism 14 MR Egger 0.4456 (0.1887–1.0524)
PAI1 Pulmonary embolism 14 Weighted median 0.9775 (0.6505–1.4689)
PAI1 Pulmonary embolism 14 Weighted mode 1.0126 (0.4517–2.2704)
HannumAge Pulmonary embolism 12 Inverse variance weighted 0.945 (0.7931–1.1259)
HannumAge Pulmonary embolism 12 MR Egger 0.9222 (0.5792–1.4683)
HannumAge Pulmonary embolism 12 Weighted median 0.838 (0.6793–1.0338)
HannumAge Pulmonary embolism 12 Weighted mode 0.8368 (0.6184–1.1324)
GrimAge Pulmonary embolism 14 Inverse variance weighted 1.0548 (0.9294–1.1972)
GrimAge Pulmonary embolism 14 MR Egger 0.9213 (0.6706–1.2658)
GrimAge Pulmonary embolism 14 Weighted median 1.063 (0.8954–1.2621)
GrimAge Pulmonary embolism 14 Weighted mode 1.0874 (0.9029–1.3097)
IEAA Pulmonary embolism 14 Inverse variance weighted 0.9058 (0.7861–1.0437)
IEAA Pulmonary embolism 14 MR Egger 1.1736 (0.8391–1.6416)
IEAA Pulmonary embolism 14 Weighted median 0.9451 (0.7856–1.1368)
IEAA Pulmonary embolism 14 Weighted mode 0.9941 (0.8158–1.2112)
Telomere length Pulmonary embolism 15 Inverse variance weighted 1.006 (0.9959–1.0161)
Telomere length Pulmonary embolism 15 MR Egger 0.9986 (0.9717–1.0261)
Telomere length Pulmonary embolism 15 Weighted median 1.0012 (0.9897–1.0129)
Telomere length Pulmonary embolism 15 Weighted mode 1.0033 (0.9907–1.016)
Circulating plasma alpha-Klotho levels Pulmonary embolism 13 Inverse variance weighted 1.079 (0.9822–1.1853)
Circulating plasma alpha-Klotho levels Pulmonary embolism 13 MR Egger 0.9952 (0.7956–1.2449)
Circulating plasma alpha-Klotho levels Pulmonary embolism 13 Weighted median 1.0588 (0.9426–1.1894)
Circulating plasma alpha-Klotho levels Pulmonary embolism 13 Weighted mode 1.0871 (0.9358–1.2628)
PhenoAge Pulmonary embolism 14 Inverse variance weighted 0.9269 (0.7903–1.087)
PhenoAge Pulmonary embolism 14 MR Egger 0.9201 (0.6072–1.3941)
PhenoAge Pulmonary embolism 14 Weighted median 1.0189 (0.8226–1.2621)
PhenoAge Pulmonary embolism 14 Weighted mode 1.0534 (0.8389–1.3227)
Granulocyte proportions Pulmonary embolism 12 Inverse variance weighted 1.0025 (0.9993–1.0057)
Granulocyte proportions Pulmonary embolism 12 MR Egger 0.9969 (0.9889–1.0049)
Granulocyte proportions Pulmonary embolism 12 Weighted median 1.0015 (0.9971–1.006)
Granulocyte proportions Pulmonary embolism 12 Weighted mode 1.001 (0.9966–1.0055)
Fibroblast growth factor 23 levels Pulmonary embolism 16 Inverse variance weighted 1.0353 (0.9614–1.115)
Fibroblast growth factor 23 levels Pulmonary embolism 16 MR Egger 1.0516 (0.8788–1.2582)
Fibroblast growth factor 23 levels Pulmonary embolism 16 Weighted median 1.0013 (0.9387–1.0681)
Fibroblast growth factor 23 levels Pulmonary embolism 16 Weighted mode 0.9848 (0.9236–1.0501)
PAI1 DVT of lower extremities 13 Inverse variance weighted 1.1308 (0.7927–1.6131)
PAI1 DVT of lower extremities 13 MR Egger 1.9279 (0.6671–5.5718)
PAI1 DVT of lower extremities 13 Weighted median 1.0735 (0.7465–1.5437)
PAI1 DVT of lower extremities 13 Weighted mode 0.7285 (0.3659–1.4505)
HannumAge DVT of lower extremities 11 Inverse variance weighted 0.928 (0.7738–1.1128)
HannumAge DVT of lower extremities 11 MR Egger 0.7619 (0.5517–1.0522)
HannumAge DVT of lower extremities 11 Weighted median 0.8212 (0.6966–0.9682)
HannumAge DVT of lower extremities 11 Weighted mode 0.8044 (0.6757–0.9575)
GrimAge DVT of lower extremities 13 Inverse variance weighted 1.0275 (0.9194–1.1482)
GrimAge DVT of lower extremities 13 MR Egger 0.8591 (0.7053–1.0465)
GrimAge DVT of lower extremities 13 Weighted median 1.0638 (0.9234–1.2255)
GrimAge DVT of lower extremities 13 Weighted mode 1.1101 (0.8915–1.3822)
IEAA DVT of lower extremities 13 Inverse variance weighted 0.9658 (0.8312–1.1221)
IEAA DVT of lower extremities 13 MR Egger 0.9656 (0.7093–1.3147)
IEAA DVT of lower extremities 13 Weighted median 0.9591 (0.8231–1.1175)
IEAA DVT of lower extremities 13 Weighted mode 0.973 (0.8075–1.1725)
Telomere length DVT of lower extremities 13 Inverse variance weighted 1.0059 (0.9965–1.0154)
Telomere length DVT of lower extremities 13 MR Egger 1.0021 (0.9848–1.0197)
Telomere length DVT of lower extremities 13 Weighted median 1.0039 (0.9954–1.0124)
Telomere length DVT of lower extremities 13 Weighted mode 1.0019 (0.9931–1.0107)
Circulating plasma alpha-Klotho levels DVT of lower extremities 12 Inverse variance weighted 1.0393 (0.9754–1.1074)
Circulating plasma alpha-Klotho levels DVT of lower extremities 12 MR Egger 0.965 (0.8631–1.0788)
Circulating plasma alpha-Klotho levels DVT of lower extremities 12 Weighted median 1.0235 (0.9345–1.121)
Circulating plasma alpha-Klotho levels DVT of lower extremities 12 Weighted mode 1.0089 (0.917–1.11)
PhenoAge DVT of lower extremities 13 Inverse variance weighted 0.9509 (0.8331–1.0854)
PhenoAge DVT of lower extremities 13 MR Egger 0.8203 (0.6309–1.0666)
PhenoAge DVT of lower extremities 13 Weighted median 1.0542 (0.8843–1.2569)
PhenoAge DVT of lower extremities 13 Weighted mode 1.0822 (0.8468–1.3829)
Granulocyte proportions DVT of lower extremities 11 Inverse variance weighted 1.0007 (0.9982–1.0033)
Granulocyte proportions DVT of lower extremities 11 MR Egger 1.001 (0.9964–1.0057)
Granulocyte proportions DVT of lower extremities 11 Weighted median 1.0005 (0.997–1.0039)
Granulocyte proportions DVT of lower extremities 11 Weighted mode 1.0004 (0.9968–1.0041)
Fibroblast growth factor 23 levels DVT of lower extremities 13 Inverse variance weighted 1.0283 (0.9748–1.0846)
Fibroblast growth factor 23 levels DVT of lower extremities 13 MR Egger 1.0413 (0.9488–1.1427)
Fibroblast growth factor 23 levels DVT of lower extremities 13 Weighted median 1.0085 (0.9657–1.0531)
Fibroblast growth factor 23 levels DVT of lower extremities 13 Weighted mode 1.0087 (0.9605–1.0594)
PAI1 Venous thromboembolism 30 Inverse variance weighted 1.1239 (0.7846–1.6098)
PAI1 Venous thromboembolism 30 MR Egger 1.7942 (0.8482–3.7951)
PAI1 Venous thromboembolism 30 Weighted median 1.2186 (0.7813–1.9009)
PAI1 Venous thromboembolism 30 Weighted mode 0.6605 (0.1353–3.2241)
HannumAge Venous thromboembolism 29 Inverse variance weighted 0.9202 (0.7757–1.0917)
HannumAge Venous thromboembolism 29 MR Egger 0.7747 (0.5669–1.0586)
HannumAge Venous thromboembolism 29 Weighted median 0.7982 (0.6528–0.976)
HannumAge Venous thromboembolism 29 Weighted mode 0.7674 (0.6186–0.9522)
GrimAge Venous thromboembolism 29 Inverse variance weighted 1.1856 (1.0481–1.341)
GrimAge Venous thromboembolism 29 MR Egger 1.0919 (0.8443–1.412)
GrimAge Venous thromboembolism 29 Weighted median 1.1158 (0.9444–1.3182)
GrimAge Venous thromboembolism 29 Weighted mode 1.1282 (0.9372–1.358)
IEAA Venous thromboembolism 30 Inverse variance weighted 1.001 (0.8822–1.1358)
IEAA Venous thromboembolism 30 MR Egger 0.9191 (0.7323–1.1536)
IEAA Venous thromboembolism 30 Weighted median 0.9778 (0.8189–1.1676)
IEAA Venous thromboembolism 30 Weighted mode 0.9564 (0.7841–1.1666)
Telomere length Venous thromboembolism 30 Inverse variance weighted 1.0054 (0.9963–1.0147)
Telomere length Venous thromboembolism 30 MR Egger 1.0088 (0.993–1.0248)
Telomere length Venous thromboembolism 30 Weighted median 1.003 (0.9924–1.0138)
Telomere length Venous thromboembolism 30 Weighted mode 1.0012 (0.9906–1.0119)
Circulating plasma alpha-Klotho levels Venous thromboembolism 29 Inverse variance weighted 1.0624 (0.9725–1.1607)
Circulating plasma alpha-Klotho levels Venous thromboembolism 29 MR Egger 1.0102 (0.8688–1.1747)
Circulating plasma alpha-Klotho levels Venous thromboembolism 29 Weighted median 1.0414 (0.9278–1.1688)
Circulating plasma alpha-Klotho levels Venous thromboembolism 29 Weighted mode 1.0281 (0.9219–1.1465)
PhenoAge Venous thromboembolism 30 Inverse variance weighted 1.0485 (0.9039–1.2163)
PhenoAge Venous thromboembolism 30 MR Egger 0.7565 (0.5812–0.9845)
PhenoAge Venous thromboembolism 30 Weighted median 1.0683 (0.8572–1.3313)
PhenoAge Venous thromboembolism 30 Weighted mode 1.0723 (0.8193–1.4034)
Granulocyte proportions Venous thromboembolism 29 Inverse variance weighted 1.0008 (0.9974–1.0042)
Granulocyte proportions Venous thromboembolism 29 MR Egger 1.0035 (0.9974–1.0097)
Granulocyte proportions Venous thromboembolism 29 Weighted median 1.0009 (0.9969–1.0048)
Granulocyte proportions Venous thromboembolism 29 Weighted mode 1.001 (0.9969–1.005)
Fibroblast growth factor 23 levels Venous thromboembolism 33 Inverse variance weighted 1.02 (0.974–1.0681)
Fibroblast growth factor 23 levels Venous thromboembolism 33 MR Egger 1.0561 (0.98–1.138)
Fibroblast growth factor 23 levels Venous thromboembolism 33 Weighted median 1.0067 (0.9474–1.0699)
Fibroblast growth factor 23 levels Venous thromboembolism 33 Weighted mode 1.005 (0.9455–1.0682)
PAI1 Phlebitis and thrombophlebitis 10 Inverse variance weighted 1.0973 (0.6707–1.7953)
PAI1 Phlebitis and thrombophlebitis 10 MR Egger 2.7286 (0.6518–11.4216)
PAI1 Phlebitis and thrombophlebitis 10 Weighted median 1.3096 (0.8129–2.1099)
PAI1 Phlebitis and thrombophlebitis 10 Weighted mode 0.9355 (0.4452–1.9658)
HannumAge Phlebitis and thrombophlebitis 8 Inverse variance weighted 0.8979 (0.6818–1.1825)
HannumAge Phlebitis and thrombophlebitis 8 MR Egger 0.7348 (0.4687–1.1518)
HannumAge Phlebitis and thrombophlebitis 8 Weighted median 0.8444 (0.6767–1.0537)
HannumAge Phlebitis and thrombophlebitis 8 Weighted mode 0.7453 (0.5885–0.944)
GrimAge Phlebitis and thrombophlebitis 10 Inverse variance weighted 0.9713 (0.82–1.1506)
GrimAge Phlebitis and thrombophlebitis 10 MR Egger 0.9384 (0.6749–1.3046)
GrimAge Phlebitis and thrombophlebitis 10 Weighted median 1.0739 (0.8812–1.3088)
GrimAge Phlebitis and thrombophlebitis 10 Weighted mode 1.1268 (0.8394–1.5126)
IEAA Phlebitis and thrombophlebitis 10 Inverse variance weighted 0.9937 (0.8038–1.2285)
IEAA Phlebitis and thrombophlebitis 10 MR Egger 0.8626 (0.5809–1.2809)
IEAA Phlebitis and thrombophlebitis 10 Weighted median 1.0126 (0.8246–1.2435)
IEAA Phlebitis and thrombophlebitis 10 Weighted mode 0.988 (0.792–1.2326)
Telomere length Phlebitis and thrombophlebitis 10 Inverse variance weighted 1.0082 (0.9985–1.018)
Telomere length Phlebitis and thrombophlebitis 10 MR Egger 1.001 (0.985–1.0173)
Telomere length Phlebitis and thrombophlebitis 10 Weighted median 1.0052 (0.9945–1.016)
Telomere length Phlebitis and thrombophlebitis 10 Weighted mode 1.0037 (0.9919–1.0157)
Circulating plasma alpha-Klotho levels Phlebitis and thrombophlebitis 9 Inverse variance weighted 1.0013 (0.9247–1.0842)
Circulating plasma alpha-Klotho levels Phlebitis and thrombophlebitis 9 MR Egger 0.9735 (0.8543–1.1094)
Circulating plasma alpha-Klotho levels Phlebitis and thrombophlebitis 9 Weighted median 1.0059 (0.9081–1.1143)
Circulating plasma alpha-Klotho levels Phlebitis and thrombophlebitis 9 Weighted mode 0.9932 (0.8875–1.1114)
PhenoAge Phlebitis and thrombophlebitis 10 Inverse variance weighted 0.9202 (0.7718–1.097)
PhenoAge Phlebitis and thrombophlebitis 10 MR Egger 0.7899 (0.5678–1.0988)
PhenoAge Phlebitis and thrombophlebitis 10 Weighted median 1.0734 (0.8592–1.341)
PhenoAge Phlebitis and thrombophlebitis 10 Weighted mode 1.0918 (0.7821–1.5243)
Granulocyte proportions Phlebitis and thrombophlebitis 8 Inverse variance weighted 0.9989 (0.9956–1.0023)
Granulocyte proportions Phlebitis and thrombophlebitis 8 MR Egger 1.0015 (0.996–1.0069)
Granulocyte proportions Phlebitis and thrombophlebitis 8 Weighted median 0.9999 (0.9957–1.0042)
Granulocyte proportions Phlebitis and thrombophlebitis 8 Weighted mode 0.9998 (0.995–1.0046)
Fibroblast growth factor 23 levels Phlebitis and thrombophlebitis 10 Inverse variance weighted 1.0512 (0.9793–1.1283)
Fibroblast growth factor 23 levels Phlebitis and thrombophlebitis 10 MR Egger 1.0253 (0.9116–1.1532)
Fibroblast growth factor 23 levels Phlebitis and thrombophlebitis 10 Weighted median 1.0116 (0.9574–1.0688)
Fibroblast growth factor 23 levels Phlebitis and thrombophlebitis 10 Weighted mode 1.0048 (0.9539–1.0584)
PAI1 Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 1.0438 (0.8346–1.3054)
PAI1 Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 0.7379 (0.4833–1.1265)
PAI1 Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 1.0921 (0.809–1.4743)
PAI1 Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 0.9546 (0.6426–1.418)
HannumAge Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 0.9907 (0.9118–1.0764)
HannumAge Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 0.985 (0.8487–1.1432)
HannumAge Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 0.9716 (0.8726–1.0818)
HannumAge Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 0.9448 (0.82–1.0885)
GrimAge Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 0.9643 (0.8565–1.0858)
GrimAge Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 0.9439 (0.7518–1.1852)
GrimAge Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 0.8947 (0.7851–1.0196)
GrimAge Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 0.8878 (0.7506–1.05)
IEAA Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 1.0111 (0.9284–1.1013)
IEAA Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 1.0796 (0.9262–1.2585)
IEAA Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 1.0089 (0.9055–1.124)
IEAA Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 0.9949 (0.8442–1.1723)
Telomere length Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 0.9996 (0.9919–1.0073)
Telomere length Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 1.0059 (0.9928–1.0193)
Telomere length Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 1.0006 (0.9928–1.0084)
Telomere length Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 1.0069 (0.9955–1.0184)
Circulating plasma alpha-Klotho levels Arterial embolism and thrombosis of lower extremity artery 7 Inverse variance weighted 0.9719 (0.9064–1.0422)
Circulating plasma alpha-Klotho levels Arterial embolism and thrombosis of lower extremity artery 7 MR Egger 1.0011 (0.882–1.1362)
Circulating plasma alpha-Klotho levels Arterial embolism and thrombosis of lower extremity artery 7 Weighted median 0.9894 (0.9007–1.0869)
Circulating plasma alpha-Klotho levels Arterial embolism and thrombosis of lower extremity artery 7 Weighted mode 0.9747 (0.8739–1.0871)
PhenoAge Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 0.9265 (0.8319–1.0318)
PhenoAge Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 0.9671 (0.7884–1.1862)
PhenoAge Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 0.9851 (0.8494–1.1424)
PhenoAge Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 0.9849 (0.8284–1.1709)
Granulocyte proportions Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 0.9989 (0.9967–1.0012)
Granulocyte proportions Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 0.9985 (0.9944–1.0026)
Granulocyte proportions Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 0.9994 (0.9966–1.0022)
Granulocyte proportions Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 0.9966 (0.9919–1.0013)
Fibroblast growth factor 23 levels Arterial embolism and thrombosis of lower extremity artery 9 Inverse variance weighted 0.9879 (0.9578–1.019)
Fibroblast growth factor 23 levels Arterial embolism and thrombosis of lower extremity artery 9 MR Egger 0.9961 (0.9428–1.0525)
Fibroblast growth factor 23 levels Arterial embolism and thrombosis of lower extremity artery 9 Weighted median 0.9987 (0.9599–1.039)
Fibroblast growth factor 23 levels Arterial embolism and thrombosis of lower extremity artery 9 Weighted mode 1.0019 (0.9468–1.0601)
PAI1 Portal vein thrombosis 4 Inverse variance weighted 1.2439 (0.8924–1.7339)
PAI1 Portal vein thrombosis 4 MR Egger 1.9244 (0.4849–7.6371)
PAI1 Portal vein thrombosis 4 Weighted median 1.2395 (0.8483–1.8111)
PAI1 Portal vein thrombosis 4 Weighted mode 1.4027 (0.8552–2.3008)
HannumAge Portal vein thrombosis 4 Inverse variance weighted 0.967 (0.8764–1.0669)
HannumAge Portal vein thrombosis 4 MR Egger 0.8073 (0.5866–1.1109)
HannumAge Portal vein thrombosis 4 Weighted median 0.9757 (0.8666–1.0985)
HannumAge Portal vein thrombosis 4 Weighted mode 0.9901 (0.8499–1.1534)
GrimAge Portal vein thrombosis 4 Inverse variance weighted 1.015 (0.9182–1.1221)
GrimAge Portal vein thrombosis 4 MR Egger 1.1409 (0.8232–1.5813)
GrimAge Portal vein thrombosis 4 Weighted median 1.0617 (0.9325–1.2089)
GrimAge Portal vein thrombosis 4 Weighted mode 1.0713 (0.9014–1.2733)
IEAA Portal vein thrombosis 4 Inverse variance weighted 0.9914 (0.8956–1.0974)
IEAA Portal vein thrombosis 4 MR Egger 1.0457 (0.7526–1.4531)
IEAA Portal vein thrombosis 4 Weighted median 0.9993 (0.8888–1.1236)
IEAA Portal vein thrombosis 4 Weighted mode 1.0108 (0.8775–1.1643)
Telomere length Portal vein thrombosis 3 Inverse variance weighted 1.0009 (0.9932–1.0086)
Telomere length Portal vein thrombosis 3 MR Egger 1.0013 (0.9695–1.034)
Telomere length Portal vein thrombosis 3 Weighted median 1.0024 (0.993–1.0119)
Telomere length Portal vein thrombosis 3 Weighted mode 1.0036 (0.9934–1.0138)
Circulating plasma alpha-Klotho levels Portal vein thrombosis 3 Inverse variance weighted 1.036 (0.9582–1.12)
Circulating plasma alpha-Klotho levels Portal vein thrombosis 3 MR Egger 1.1623 (0.9175–1.4723)
Circulating plasma alpha-Klotho levels Portal vein thrombosis 3 Weighted median 1.0269 (0.9304–1.1335)
Circulating plasma alpha-Klotho levels Portal vein thrombosis 3 Weighted mode 1.0111 (0.9061–1.1283)
PhenoAge Portal vein thrombosis 4 Inverse variance weighted 0.871 (0.7648–0.9918)
PhenoAge Portal vein thrombosis 4 MR Egger 0.7425 (0.4851–1.1366)
PhenoAge Portal vein thrombosis 4 Weighted median 0.8598 (0.7316–1.0105)
PhenoAge Portal vein thrombosis 4 Weighted mode 0.8541 (0.6968–1.0469)
Granulocyte proportions Portal vein thrombosis 4 Inverse variance weighted 1.0009 (0.9987–1.0031)
Granulocyte proportions Portal vein thrombosis 4 MR Egger 0.9956 (0.9884–1.0029)
Granulocyte proportions Portal vein thrombosis 4 Weighted median 1.001 (0.9984–1.0037)
Granulocyte proportions Portal vein thrombosis 4 Weighted mode 1.002 (0.9984–1.0057)
Fibroblast growth factor 23 levels Portal vein thrombosis 4 Inverse variance weighted 1.0334 (0.9977–1.0704)
Fibroblast growth factor 23 levels Portal vein thrombosis 4 MR Egger 1.0306 (0.9244–1.1491)
Fibroblast growth factor 23 levels Portal vein thrombosis 4 Weighted median 1.0253 (0.9812–1.0713)
Fibroblast growth factor 23 levels Portal vein thrombosis 4 Weighted mode 1.0166 (0.9631–1.0731)
PAI1 Other arterial embolism and thrombosis 6 Inverse variance weighted 1.0536 (0.7827–1.4184)
PAI1 Other arterial embolism and thrombosis 6 MR Egger 1.4704 (0.3121–6.9267)
PAI1 Other arterial embolism and thrombosis 6 Weighted median 1.2258 (0.824–1.8234)
PAI1 Other arterial embolism and thrombosis 6 Weighted mode 1.3217 (0.861–2.0289)
HannumAge Other arterial embolism and thrombosis 6 Inverse variance weighted 0.9308 (0.8054–1.0757)
HannumAge Other arterial embolism and thrombosis 6 MR Egger 0.9807 (0.5933–1.6211)
HannumAge Other arterial embolism and thrombosis 6 Weighted median 1.0021 (0.8642–1.162)
HannumAge Other arterial embolism and thrombosis 6 Weighted mode 1.0524 (0.8501–1.303)
GrimAge Other arterial embolism and thrombosis 6 Inverse variance weighted 1.0128 (0.8887–1.1542)
GrimAge Other arterial embolism and thrombosis 6 MR Egger 1.2073 (0.7927–1.8389)
GrimAge Other arterial embolism and thrombosis 6 Weighted median 1.0298 (0.8918–1.1891)
GrimAge Other arterial embolism and thrombosis 6 Weighted mode 1.056 (0.8615–1.2943)
IEAA Other arterial embolism and thrombosis 6 Inverse variance weighted 0.9293 (0.8087–1.0679)
IEAA Other arterial embolism and thrombosis 6 MR Egger 1.012 (0.6275–1.6323)
IEAA Other arterial embolism and thrombosis 6 Weighted median 0.9954 (0.8532–1.1614)
IEAA Other arterial embolism and thrombosis 6 Weighted mode 1.0712 (0.8458–1.3566)
Telomere length Other arterial embolism and thrombosis 6 Inverse variance weighted 1.0003 (0.9888–1.0119)
Telomere length Other arterial embolism and thrombosis 6 MR Egger 0.9987 (0.9617–1.0372)
Telomere length Other arterial embolism and thrombosis 6 Weighted median 1 (0.99–1.0102)
Telomere length Other arterial embolism and thrombosis 6 Weighted mode 0.9988 (0.9848–1.013)
Circulating plasma alpha-Klotho levels Other arterial embolism and thrombosis 5 Inverse variance weighted 0.9667 (0.8886–1.0517)
Circulating plasma alpha-Klotho levels Other arterial embolism and thrombosis 5 MR Egger 1.2492 (0.7945–1.964)
Circulating plasma alpha-Klotho levels Other arterial embolism and thrombosis 5 Weighted median 0.9833 (0.8801–1.0985)
Circulating plasma alpha-Klotho levels Other arterial embolism and thrombosis 5 Weighted mode 1.0053 (0.8582–1.1777)
PhenoAge Other arterial embolism and thrombosis 6 Inverse variance weighted 1.0475 (0.9124–1.2025)
PhenoAge Other arterial embolism and thrombosis 6 MR Egger 1.1163 (0.714–1.7453)
PhenoAge Other arterial embolism and thrombosis 6 Weighted median 1.0409 (0.8748–1.2386)
PhenoAge Other arterial embolism and thrombosis 6 Weighted mode 1.0048 (0.7819–1.2912)
Granulocyte proportions Other arterial embolism and thrombosis 6 Inverse variance weighted 0.9984 (0.9952–1.0015)
Granulocyte proportions Other arterial embolism and thrombosis 6 MR Egger 1 (0.9897–1.0104)
Granulocyte proportions Other arterial embolism and thrombosis 6 Weighted median 0.9987 (0.9954–1.002)
Granulocyte proportions Other arterial embolism and thrombosis 6 Weighted mode 0.9987 (0.9948–1.0026)
Fibroblast growth factor 23 levels Other arterial embolism and thrombosis 6 Inverse variance weighted 0.9888 (0.9464–1.0331)
Fibroblast growth factor 23 levels Other arterial embolism and thrombosis 6 MR Egger 0.9975 (0.8672–1.1474)
Fibroblast growth factor 23 levels Other arterial embolism and thrombosis 6 Weighted median 0.9575 (0.9124–1.0049)
Fibroblast growth factor 23 levels Other arterial embolism and thrombosis 6 Weighted mode 0.9561 (0.891–1.026)

Table 5.

Heterogeneity and pleiotropy for each exposure factor on epigenetic aging factors

Outcome Exposure Heterogeneity Pleiotropy
Q statistic (IVW) P value MR Egger Intercept P value
Circulating plasma alpha-Klotho levels Pulmonary embolism 13.941 0.304 0.017 0.45
Circulating plasma alpha-Klotho levels DVT of lower extremities 9.583 0.568 0.023 0.144
Circulating plasma alpha-Klotho levels Venous thromboembolism 39.763 0.069 0.009 0.425
Circulating plasma alpha-Klotho levels Phlebitis and thrombophlebitis 6.804 0.558 0.009 0.611
Circulating plasma alpha-Klotho levels Arterial embolism and thrombosis of lower extremity artery 4.961 0.549 − 0.013 0.607
Circulating plasma alpha-Klotho levels Portal vein thrombosis 1.689 0.43 − 0.058 0.497
Circulating plasma alpha-Klotho levels Other arterial embolism and thrombosis 3.025 0.554 − 0.07 0.341
Fibroblast growth factor 23 levels Pulmonary embolism 42.539 0 − 0.003 0.854
Fibroblast growth factor 23 levels DVT of lower extremities 33.137 0.001 − 0.004 0.747
Fibroblast growth factor 23 levels Venous thromboembolism 48.176 0.033 − 0.006 0.257
Fibroblast growth factor 23 levels Phlebitis and thrombophlebitis 27.716 0.001 0.008 0.608
Fibroblast growth factor 23 levels Arterial embolism and thrombosis of lower extremity artery 3.829 0.872 − 0.004 0.732
Fibroblast growth factor 23 levels Portal vein thrombosis 1.568 0.667 0.001 0.964
Fibroblast growth factor 23 levels Other arterial embolism and thrombosis 7.245 0.203 − 0.003 0.902
Granulocyte proportions Pulmonary embolism 9.844 0.545 0.001 0.168
Granulocyte proportions DVT of lower extremities 8.915 0.54 0 0.887
Granulocyte proportions Venous thromboembolism 40.334 0.062 0 0.297
Granulocyte proportions Phlebitis and thrombophlebitis 4.876 0.675 − 0.001 0.289
Granulocyte proportions Arterial embolism and thrombosis of lower extremity artery 10.2 0.251 0 0.802
Granulocyte proportions Portal vein thrombosis 2.441 0.486 0.002 0.274
Granulocyte proportions Other arterial embolism and thrombosis 7.993 0.157 − 0.001 0.755
GrimAge Pulmonary embolism 12.385 0.496 0.027 0.38
GrimAge DVT of lower extremities 14.747 0.256 0.048 0.064
GrimAge Venous thromboembolism 20.183 0.858 0.011 0.481
GrimAge Phlebitis and thrombophlebitis 15.863 0.07 0.009 0.813
GrimAge Arterial embolism and thrombosis of lower extremity artery 15.457 0.051 0.01 0.831
GrimAge Portal vein thrombosis 2.07 0.558 − 0.053 0.538
GrimAge Other arterial embolism and thrombosis 7.313 0.198 − 0.055 0.437
HannumAge Pulmonary embolism 17.792 0.087 0.005 0.913
HannumAge DVT of lower extremities 25.533 0.004 0.051 0.19
HannumAge Venous thromboembolism 54.387 0.002 0.024 0.21
HannumAge Phlebitis and thrombophlebitis 23.866 0.001 0.051 0.315
HannumAge Arterial embolism and thrombosis of lower extremity artery 6.519 0.589 0.003 0.929
HannumAge Portal vein thrombosis 1.906 0.592 0.081 0.364
HannumAge Other arterial embolism and thrombosis 9.34 0.096 − 0.016 0.84
IEAA Pulmonary embolism 16.071 0.245 − 0.051 0.125
IEAA DVT of lower extremities 26.562 0.009 0 0.999
IEAA Venous thromboembolism 35.25 0.196 0.013 0.383
IEAA Phlebitis and thrombophlebitis 24.284 0.004 0.037 0.427
IEAA Arterial embolism and thrombosis of lower extremity artery 2.808 0.946 − 0.031 0.347
IEAA Portal vein thrombosis 0.521 0.914 − 0.024 0.77
IEAA Other arterial embolism and thrombosis 8.088 0.151 − 0.027 0.731
PAI1 Pulmonary embolism 15.118 0.3 0.197 0.025
PAI1 DVT of lower extremities 19.789 0.071 − 0.115 0.318
PAI1 Venous thromboembolism 40.822 0.071 − 0.062 0.176
PAI1 Phlebitis and thrombophlebitis 15.141 0.087 − 0.173 0.223
PAI1 Arterial embolism and thrombosis of lower extremity artery 7.956 0.438 0.149 0.1
PAI1 Portal vein thrombosis 2.546 0.467 − 0.186 0.588
PAI1 Other arterial embolism and thrombosis 3.908 0.563 − 0.093 0.69
PhenoAge Pulmonary embolism 12.591 0.48 0.001 0.971
PhenoAge DVT of lower extremities 12.868 0.379 0.039 0.231
PhenoAge Venous thromboembolism 30.576 0.386 0.05 0.007
PhenoAge Phlebitis and thrombophlebitis 10.274 0.329 0.038 0.317
PhenoAge Arterial embolism and thrombosis of lower extremity artery 7.999 0.434 − 0.02 0.636
PhenoAge Portal vein thrombosis 1.698 0.637 0.072 0.521
PhenoAge Other arterial embolism and thrombosis 2.229 0.817 − 0.02 0.784
Telomere length Pulmonary embolism 22.069 0.077 0.002 0.576
Telomere length DVT of lower extremities 28.926 0.004 0.001 0.618
Telomere length Venous thromboembolism 49.55 0.01 − 0.001 0.61
Telomere length Phlebitis and thrombophlebitis 14.474 0.106 0.002 0.311
Telomere length Arterial embolism and thrombosis of lower extremity artery 16.971 0.03 − 0.003 0.288
Telomere length Portal vein thrombosis 2.361 0.307 0 0.984
Telomere length Other arterial embolism and thrombosis 14.713 0.012 0.001 0.935

Table 6.

MR-PRESSO results of the MR analysis

Outcome Exposure Raw Outlier corrected Global p Outliers Distortion p
OR_CI P OR_CI P
Circulating plasma alpha-Klotho levels Arterial embolism and thrombosis of lower extremity artery 0.9719 (0.9121–1.0356) 0.4128 NA (NA–NA) NA 0.61
Fibroblast growth factor 23 levels Arterial embolism and thrombosis of lower extremity artery 0.9879 (0.967–1.0094) 0.2994 NA (NA–NA) NA 0.885 NA
Granulocyte proportions Arterial embolism and thrombosis of lower extremity artery 0.9989 (0.9967–1.0012) 0.3754 NA (NA–NA) NA 0.275
GrimAge Arterial embolism and thrombosis of lower extremity artery 0.9643 (0.8565–1.0858) 0.5649 NA (NA–NA) NA 0.06
HannumAge Arterial embolism and thrombosis of lower extremity artery 0.9907 (0.9192–1.0678) 0.8132 NA (NA–NA) NA 0.576 NA
IEAA Arterial embolism and thrombosis of lower extremity artery 1.0111 (0.9612–1.0636) 0.6798 NA (NA–NA) NA 0.93 NA
PAI1 Arterial embolism and thrombosis of lower extremity artery 1.0438 (0.8351–1.3046) 0.7161 NA (NA–NA) NA 0.446
PhenoAge Arterial embolism and thrombosis of lower extremity artery 0.9265 (0.8319–1.0318) 0.202 NA (NA–NA) NA 0.484
Telomere length Arterial embolism and thrombosis of lower extremity artery 0.9996 (0.9919–1.0073) 0.9201 NA (NA–NA) NA 0.047 NA NA
Circulating plasma alpha-Klotho levels DVT of lower extremities 1.0393 (0.9795–1.1027) 0.2284 NA (NA–NA) NA 0.546
Fibroblast growth factor 23 levels DVT of lower extremities 1.0283 (0.9748–1.0846) 0.3263 0.9915 (0.9651–1.0187) 0.5492 0.004 rs80136276 0.011
Granulocyte proportions DVT of lower extremities 1.0022 (0.9997–1.0046) 0.1128 NA (NA–NA) NA 0.273
GrimAge DVT of lower extremities 1.0275 (0.9194–1.1482) 0.6413 NA (NA–NA) NA 0.203
HannumAge DVT of lower extremities 0.9714 (0.8359–1.129) 0.7121 1.0428 (0.8939–1.2166) 0.6045 0.01 rs80260619 0.217
IEAA DVT of lower extremities 0.9658 (0.8312–1.1221) 0.6572 0.9375 (0.8222–1.0691) 0.3562 0.016 rs17543805 0.787
PAI1 DVT of lower extremities 1.1308 (0.7927–1.6131) 0.5105 NA (NA–NA) NA 0.101
PhenoAge DVT of lower extremities 0.9509 (0.8331–1.0854) 0.4703 NA (NA–NA) NA 0.359
Telomere length DVT of lower extremities 1.0059 (0.9968–1.015) 0.2249 1.0038 (0.9971–1.0105) 0.2917 0.017 rs10886430 0.298
Circulating plasma alpha-Klotho levels Other arterial embolism and thrombosis 0.9667 (0.8984–1.0402) 0.4164 NA (NA–NA) NA 0.562
Fibroblast growth factor 23 levels Other arterial embolism and thrombosis 0.9888 (0.9464–1.0331) 0.6372 NA (NA–NA) NA 0.219 NA
Granulocyte proportions Other arterial embolism and thrombosis 0.9984 (0.9952–1.0015) 0.3503 NA (NA–NA) NA 0.208
GrimAge Other arterial embolism and thrombosis 1.0128 (0.8887–1.1542) 0.8564 NA (NA–NA) NA 0.235
HannumAge Other arterial embolism and thrombosis 0.9308 (0.8054–1.0757) 0.3759 NA (NA–NA) NA 0.109 NA
IEAA Other arterial embolism and thrombosis 0.9293 (0.8087–1.0679) 0.3487 NA (NA–NA) NA 0.194 NA
PAI1 Other arterial embolism and thrombosis 1.0536 (0.8101–1.3704) 0.7129 NA (NA–NA) NA 0.551
PhenoAge Other arterial embolism and thrombosis 1.0475 (0.9552–1.1486) 0.3694 NA (NA–NA) NA 0.809
Telomere length Other arterial embolism and thrombosis 1.0003 (0.9888–1.0119) 0.9631 0.9958 (0.9875–1.0043) 0.3874 0.031 rs12957035 0.353
Circulating plasma alpha-Klotho levels Phlebitis and thrombophlebitis 1.0169 (0.9452–1.094) 0.664 NA (NA–NA) NA 0.539
Fibroblast growth factor 23 levels Phlebitis and thrombophlebitis 1.0376 (0.9677–1.1125) 0.3241 0.9938 (0.9583–1.0305) 0.7436 0.003 rs80136276 0.002
Granulocyte proportions Phlebitis and thrombophlebitis 1.0016 (0.9985–1.0047) 0.3319 NA (NA–NA) NA 0.217
GrimAge Phlebitis and thrombophlebitis 0.9842 (0.8447–1.1467) 0.8422 NA (NA–NA) NA 0.094
HannumAge Phlebitis and thrombophlebitis 0.9402 (0.7723–1.1445) 0.5525 0.9111 (0.7628–1.0882) 0.3311 0.004 rs17543805 0.822
IEAA Phlebitis and thrombophlebitis 0.9902 (0.8193–1.1966) 0.9204 NA (NA–NA) NA 0.017 NA NA
PAI1 Phlebitis and thrombophlebitis 1.0786 (0.7051–1.65) 0.7343 NA (NA–NA) NA 0.212
PhenoAge Phlebitis and thrombophlebitis 0.9279 (0.7931–1.0855) 0.3719 NA (NA–NA) NA 0.381
Telomere length Phlebitis and thrombophlebitis 1.007 (0.998–1.0161) 0.1581 NA (NA–NA) NA 0.135 NA
Circulating plasma alpha-Klotho levels Portal vein thrombosis 1.0169 (0.9452–1.094) 0.664 NA (NA–NA) NA 0.539
Fibroblast growth factor 23 levels Portal vein thrombosis 1.0334 (1.0074–1.06) 0.0854 NA (NA–NA) NA 0.69 NA
Granulocyte proportions Portal vein thrombosis 1.0009 (0.9989–1.0029) 0.4515 NA (NA–NA) NA 0.496
GrimAge Portal vein thrombosis 1.015 (0.9339–1.1032) 0.7486 NA (NA–NA) NA 0.542
HannumAge Portal vein thrombosis 0.967 (0.894–1.0458) 0.4626 NA (NA–NA) NA 0.63 NA
IEAA Portal vein thrombosis 0.9914 (0.9503–1.0342) 0.7146 NA (NA–NA) NA 0.923 NA
PAI1 Portal vein thrombosis 1.2439 (0.9161–1.6891) 0.2564 NA (NA–NA) NA 0.594
PhenoAge Portal vein thrombosis 0.871 (0.7898–0.9604) 0.0696 NA (NA–NA) NA 0.694
Telomere length Portal vein thrombosis 1.007 (0.998–1.0161) 0.1581 NA (NA–NA) NA 0.135 NA
Circulating plasma alpha-Klotho levels Pulmonary embolism 1.079 (0.9822–1.1853) 0.1388 NA (NA–NA) NA 0.33
Fibroblast growth factor 23 levels Pulmonary embolism 1.0353 (0.9614–1.115) 0.3729 0.9902 (0.9423–1.0406) 0.7037  < 0.001 rs74739952 0.051
Granulocyte proportions Pulmonary embolism 1.0035 (1.0003–1.0067) 0.0485 NA (NA–NA) NA 0.272
GrimAge Pulmonary embolism 1.0548 (0.9322–1.1936) 0.4127 NA (NA–NA) NA 0.523
HannumAge Pulmonary embolism 1.0049 (0.8433–1.1976) 0.9568 NA (NA–NA) NA 0.011 NA NA
IEAA Pulmonary embolism 0.9058 (0.7861–1.0437) 0.1943 NA (NA–NA) NA 0.255 NA
PAI1 Pulmonary embolism 1.2662 (0.9027–1.7762) 0.1948 NA (NA–NA) NA 0.345
PhenoAge Pulmonary embolism 0.9269 (0.7923–1.0842) 0.3598 NA (NA–NA) NA 0.441
Telomere length Pulmonary embolism 1.0059 (0.9961–1.0158) 0.257 NA (NA–NA) NA 0.138 NA
Circulating plasma alpha-Klotho levels Venous thromboembolism 1.0624 (0.9725–1.1607) 0.1904 NA (NA–NA) NA 0.077
Fibroblast growth factor 23 levels Venous thromboembolism 1.02 (0.974–1.0681) 0.4062 0.9806 (0.9502–1.012) 0.2327 0.007 rs2428493 0.108
Granulocyte proportions Venous thromboembolism 1.0023 (0.9991–1.0054) 0.1665 NA (NA–NA) NA 0.051
GrimAge Venous thromboembolism 1.164 (1.0467–1.2943) 0.0088 NA (NA–NA) NA 0.822
HannumAge Venous thromboembolism 0.9604 (0.8277–1.1145) 0.5985 NA (NA–NA) NA 0.001 NA NA
IEAA Venous thromboembolism 1.0043 (0.89–1.1333) 0.9452 NA (NA–NA) NA 0.235 NA
PAI1 Venous thromboembolism 1.1041 (0.7822–1.5585) 0.5773 NA (NA–NA) NA 0.122
PhenoAge Venous thromboembolism 1.0545 (0.9123–1.2189) 0.4781 NA (NA–NA) NA 0.358
Telomere length Venous thromboembolism 1.0054 (0.9964–1.0145) 0.2516 1.0037 (0.9956–1.0118) 0.3772 0.015 rs2066865 0.48

Discussion

We conducted a bi-directional two-sample MR analysis using GWAS summary statistics from European ancestry to explore the causal relationships between genetically predicted epigenetic aging factors and thromboembolism. Our results indicated that IEAA may be a potential protective factor for the occurrence of DVT of lower extremities. In addition, the levels of PAI1 and FGF23 were demonstrated as potential risk factors for other arterial embolism and thrombosis and arterial embolism and thrombosis of lower extremity artery. Furthermore, we found evidence for causal associations between VTE and GrimAge, as well as between PVT and PhenoAge. This indicates that VTE is associated with an increase in GrimAge, while PVT is associated with a decrease in PhenoAge.

The relationship between epigenetic aging and thromboembolism is increasingly recognized, particularly concerning how alterations in epigenetic markers can influence hemostatic factors. Elevated epigenetic age has been associated with a pro-coagulation profile, characterized by increased levels of fibrinogen and PAI1, which are critical components in the coagulation cascade [5]. This can lead to a higher risk of clot formation and reduced clotting time, potentially causing thromboembolic events [5]. Moreover, studies indicate that epigenetic modifications, such as DNA methylation changes, play a significant role in the pathogenesis of thromboembolic diseases. For instance, specific epigenetic alterations have been observed in conditions like coronary artery disease and cerebrovascular disease, which are closely linked to thromboembolic events [34]. These findings suggest that understanding the epigenetic mechanisms underlying aging could provide insights into the prevention and management of thromboembolism. Our study provided evidence supporting causal links between epigenetic aging factors and thromboembolism and its subtypes, achieved by inferring causality through genetic prediction using MR, which also effectively addresses confounding variables.

Our results showed that genetically determined levels of FGF23 and PAI1 acted as detrimental factors in arterial thromboembolism. FGF23, a hormone mainly produced by osteocytes, regulates phosphate balance and vitamin D metabolism by enhancing renal phosphate excretion and curbing active vitamin D synthesis [35, 36]. In addition, FGF23-deficient mice exhibited aging phenotypes, such as reduced life span, atherosclerosis, osteoporosis, skin atrophy, infertility, or emphysema [37]. Moreover, clinical studies increasingly link elevated FGF23 levels to cardiovascular risks like arterial stiffness and vascular calcification, which contribute to thromboembolism [36]. Mechanistically, it has been proposed that the effect of FGF23 on mineral metabolism can lead to systemic inflammation and vascular changes that predispose individuals to thromboembolic conditions [35, 38]. On the other hand, PAI1 is a serine protease inhibitor that plays a crucial role in the regulation of fibrinolysis and thrombosis. It primarily inhibits tissue plasminogen activator (t-PA) and urokinase plasminogen activator (u-PA), which are essential for the breakdown of blood clots. Elevated levels of PAI1 can lead to impaired fibrinolysis, contributing to an increased risk of thrombotic events such as VTE and arterial thrombosis [39, 40]. More specifically, genetic polymorphisms, particularly the 4G/5G polymorphism, have been linked to varying levels of PAI1 expression and an individual’s susceptibility to VTE [41]. Furthermore, elevated plasma levels of PAI1 are associated with longer clot lysis times, indicating a higher risk for both venous and arterial thrombosis [40, 41]. In line with existing evidence, our study identified FGF23 and PAI1 as potential detrimental factors for thrombotic events. Given the associations between elevated FGF23 and PAI1 levels and thrombosis risks, targeting them may reduce thromboembolic events. Potential interventions include lowering FGF23 or PAI1 levels or modulating their effects on mineral metabolism and fibrinolysis through pharmacological agents, lifestyle changes, or other approaches.

Our results indicated that IEAA was inversely associated with the incidence of DVT of lower extremities. HorvathAge, developed by Steve Horvath in 2013, is an epigenetic clock that estimates biological age based on DNA methylation patterns [6]. This method utilizes a specific set of CpG sites across the genome to predict an individual’s biological age. Research indicates that accelerated biological aging, as reflected by higher IEAA, may correlate with increased risk factors for thromboembolism. This relationship suggests that individuals who exhibit signs of accelerated aging could be at a heightened risk for developing VTE due to underlying physiological changes associated with aging [42]. However, our results demonstrated the opposite. This discrepancy may arise from the fact that the biological aging processes reflected by epigenetic clocks do not uniformly translate to clinical outcomes across different populations. Additionally, variations in how VTE is diagnosed or reported, as well as the specific epigenetic markers selected for analysis, could lead to conflicting results.

In terms of reverse causation, our results revealed that VTE and PVT were causally linked to increased and reduced GrimAge and PhenoAge, respectively. Unlike HorvathAge, GrimAge is specifically designed to predict mortality risk, lifespan, and healthspan. It incorporates not only more DNA methylation data, but also considers lifestyle factors such as smoking history and levels of specific plasma proteins associated with health outcomes, allowing GrimAge to be a more robust predictor of age-related diseases and overall mortality [43]. Individuals with VTE could experience an increased GrimAge, suggesting that thrombosis and related conditions, such as chronic inflammation or endothelial dysfunction, might exacerbate the biological aging markers and increase the risk of developing age-related diseases [44]. Nonetheless, our results revealed that individuals with PVT may exhibit decelerated epigenetic aging as measured by PhenoAge. PhenoAge is an epigenetic clock that incorporates not only DNA methylation information but also the levels of clinical biomarkers such as creatinine and C-reactive protein. It focuses on integrating clinical biomarkers that reflect physiological aging and disease risk, making it particularly useful for assessing healthspan and age-related diseases. The varying connections between epigenetic clocks and thromboembolism may stem from different focuses of these clocks on biological aging, highlighting the multifaceted nature of the aging process. PhenoAge may reflect a different aspect of health status that is less sensitive to the effects of thromboembolic events. Therefore, for individuals with VTE, the increased GrimAge suggests a heightened risk of age-related diseases and mortality, emphasizing the need for more aggressive preventive measures and monitoring of comorbidities. Conversely, the decelerated epigenetic aging observed in PVT patients, as indicated by PhenoAge, may suggest a unique biological profile that warrants further investigation. Understanding these distinct associations could help in the development of targeted interventions to mitigate the adverse effects of thromboembolism on biological aging and overall health.

This study represents the first evaluation of the associations between epigenetic aging factors and thromboembolism using MR. The main strength of this study lies in its utilization of MR, enabling the assessment of the associations between genetically determined levels of epigenetic aging factors and thromboembolism in independent European populations simultaneously. Genetic associations aid in elucidating the diverse relationships between epigenetic aging factors and thromboembolism by considering shared genetic risk factors. The results were validated through alternative MR methods and sensitivity analyses for pleiotropy. Nonetheless, some limitations have to be addressed for this study. Firstly, the lack of individual-level data restricts our ability to categorize patients into finer subgroups based on disease progression. Future studies can address this limitation by using large-scale datasets or electronic health records to obtain detailed individual-level data, enabling more nuanced analyses of disease subtypes and progression. Secondly, we could not sufficiently account for unmeasured confounders like smoking and alcohol consumption, which are known to influence thromboembolism risk. Further efforts could address this issue by incorporating comprehensive lifestyle assessments. Thirdly, the applicability of this study to populations outside of European ancestry is limited due to its focus on this specific demographic. Thus, caution is advised when extrapolating our findings to populations with different ancestral backgrounds. Future studies should aim to include more diverse samples from various ancestral backgrounds to improve the generalizability of the findings.

Conclusions

Our findings revealed that genetically determined levels of epigenetic aging factors affect thromboembolism risk in European ancestry. Our findings suggested one protective causal association between IEAA and DVT of lower extremities; two detrimental causal associations between PAI1 and FGF23 and other arterial embolism and thrombosis and arterial embolism and thrombosis of lower extremity artery; one protective causal associations between PVT and PhenoAge; one detrimental causal association between VTE and GrimAge. These results suggest that these epigenetic aging factors could serve as potential predictors for thromboembolism, offering avenues for future research to develop targeted prevention strategies. However, further studies are needed to confirm these associations and explore their applicability in diverse populations, particularly those of non-European ancestry, to enhance the external validity of our findings.

Supplementary Information

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Supplementary file 1: Figure 1. Funnel plots for MR analyses of the causal associations between epigenetic aging factors and thromboembolism in forward analysis.

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Supplementary file 2: Figure 2. Leave-one-out analysis for the causal associations between epigenetic agingfactors and thromboembolism in forward analysis.

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Supplementary file 3: Figure 3. Funnel plots for MR analyses of the causal associations between thromboembolism and epigenetic aging factors in reverse analysis.

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Supplementary file 4: Figure 4. Leave-one-out analysis for the causal associations between thromboembolism and epigenetic aging factors in reverse analysis.

Supplementary file 5. (33.4KB, docx)
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Supplementary file 6: Table 1. Basic characteristics of the study populations.

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Supplementary file 7: Table 2. IVs used in this study.

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Supplementary file 8: Table 3. Proxy SNPs used in this study.

Acknowledgements

Not applicable.

Abbreviations

VTE

Venous thromboembolism

DVT

Deep vein thrombosis

PE

Pulmonary embolism

PVT

Portal vein thrombosis

CVD

Cardiovascular diseases

IEAA

Intrinsic epigenetic age acceleration

FGF23

Fibroblast growth factor 23

CI

Confidence interval

Author contributions

Bowen Jin and Yunyan Li carried out the studies, participated in collecting data, and drafted the manuscript. Chi Jing and Qunshan Shen performed the statistical analysis and participated in its design. Dingyang Li and Bowen Jin participated in acquisition, analysis, or interpretation of data and draft the manuscript. All authors read and approved the final manuscript.

Funding

The study was supported by Wuhan Municipal Health Commission guided the project (WX2Z29). The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

Availability of data and materials

The GWAS summary statistics for thromboembolism can be accessed via the FinnGen database. The genetic data regarding epigenetic clocks can be accessed from previous studies.

Declarations

Ethics approval and consent to participate

This study utilized summary statistics from public GWAS studies, for which ethical approvement has been obtained. Consequently, no further ethical approval was necessary.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

13148_2025_1875_MOESM1_ESM.jpg (1.8MB, jpg)

Supplementary file 1: Figure 1. Funnel plots for MR analyses of the causal associations between epigenetic aging factors and thromboembolism in forward analysis.

13148_2025_1875_MOESM2_ESM.jpg (2.2MB, jpg)

Supplementary file 2: Figure 2. Leave-one-out analysis for the causal associations between epigenetic agingfactors and thromboembolism in forward analysis.

13148_2025_1875_MOESM3_ESM.jpg (3.2MB, jpg)

Supplementary file 3: Figure 3. Funnel plots for MR analyses of the causal associations between thromboembolism and epigenetic aging factors in reverse analysis.

13148_2025_1875_MOESM4_ESM.jpg (4.2MB, jpg)

Supplementary file 4: Figure 4. Leave-one-out analysis for the causal associations between thromboembolism and epigenetic aging factors in reverse analysis.

Supplementary file 5. (33.4KB, docx)
13148_2025_1875_MOESM6_ESM.xlsx (10.8KB, xlsx)

Supplementary file 6: Table 1. Basic characteristics of the study populations.

13148_2025_1875_MOESM7_ESM.xlsx (114.5KB, xlsx)

Supplementary file 7: Table 2. IVs used in this study.

13148_2025_1875_MOESM8_ESM.xlsx (10.1KB, xlsx)

Supplementary file 8: Table 3. Proxy SNPs used in this study.

Data Availability Statement

The GWAS summary statistics for thromboembolism can be accessed via the FinnGen database. The genetic data regarding epigenetic clocks can be accessed from previous studies.


Articles from Clinical Epigenetics are provided here courtesy of BMC

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