Longevity & AgingArticle de rechercheAccès libre

Genetic Study Links Frailty, Telomere Length to Specific Vascular Diseases

Two-sample Mendelian randomization reveals three causal pathways from biological aging indicators to distinct vascular disease phenotypes.

jeudi 1 octobre 2026 0 vue
Publié dans Clin Appl Thromb Hemost
Molecular double helix with shortened telomere caps glowing red beside a cross-section of a human aortic vessel wall showing structural stress fractures

Résumé

Using two-sample Mendelian randomization (MR) with GWAS data, researchers investigated whether biological aging indicators—including the Frailty Index, telomere length, granulocyte proportions, epigenetic clocks, PAI-1, and facial aging—causally drive vascular diseases. Analyzing nine vascular outcomes from FinnGen (Release R12), three robust causal pathways survived outlier removal and FDR correction: higher Frailty Index increased risk of abdominal aortic aneurysm, atherosclerosis, and arterial thromboembolism; shorter telomere length strongly increased abdominal aortic aneurysm risk; and lower granulocyte proportion causally raised thoracic aortic aneurysm risk. PAI-1 and epigenetic clocks showed no significant associations after correction, suggesting aging's vascular impact is pathway-specific rather than generalized.

Résumé détaillé

Vascular diseases—including aneurysms, atherosclerosis, and thromboembolism—rise sharply with aging, yet it has remained unclear whether biological aging markers are direct causal drivers or merely correlated phenomena. Traditional observational studies are confounded by lifestyle factors, limiting mechanistic inference. This study applied two-sample Mendelian randomization (MR), which uses genetic variants as lifelong proxies for exposure, to establish causal directionality largely free from environmental confounding.

Researchers assembled GWAS summary data for multiple biological aging exposures: four epigenetic clocks (PhenoAge, GrimAge, HannumAge, HorvathAge), PAI-1 levels, granulocyte proportions, overall and cell-type-specific telomere lengths, the Frailty Index (n=164,610), and facial aging score (n=423,999). Outcome data for nine vascular phenotypes—including thoracic and abdominal aortic aneurysm, aortic dissection, nonruptured cerebral aneurysm, arterial embolism and thrombosis subtypes, atherosclerosis, and other arterial diseases—came from FinnGen Release R12, encompassing up to 463,106 controls. IVW was the primary estimator, with MR-Egger, weighted median, and weighted mode as sensitivity methods. Outlier SNPs were iteratively removed via RadialMR and MR-PRESSO, and FDR correction was applied across all tests.

Three causal pathways survived rigorous post-outlier adjustment and FDR correction. First, a higher genetically predicted Frailty Index was associated with significantly elevated risks of abdominal aortic aneurysm (OR=2.59), atherosclerosis excluding cerebral and coronary sclerosis (OR=2.03), and arterial thromboembolic events (OR=4.03). Second, longer telomere length conferred strong protection against abdominal aortic aneurysm (OR=0.50, P=6.42×10⁻¹²), confirming that telomere attrition is a causal upstream contributor to AAA risk. Third, lower granulocyte proportion was causally linked to increased thoracic aortic aneurysm risk (OR=0.018), suggesting that age-related immune remodeling affecting granulocyte dynamics plays a distinct role in structural aortic failure. Notably, PAI-1 and all four epigenetic clocks showed no significant associations after multiple-testing correction, and facial aging approached significance only for nonruptured cerebral aneurysm without surviving FDR correction.

These findings indicate that biological aging does not uniformly accelerate all forms of vascular disease; rather, distinct aging pathways preferentially drive specific vascular phenotypes. Frailty—reflecting multisystem physiological decline—exerts the broadest vascular risk, while telomere attrition appears to be specifically critical for aortic wall integrity in AAA, and granulocyte dynamics selectively influence thoracic aortic pathology. This causal heterogeneity has implications for targeted prevention: interventions that reduce frailty accumulation may broadly lower vascular risk, while strategies to preserve telomere length or modulate granulocyte activity could specifically reduce aneurysm risk.

Important caveats apply. MR estimates reflect population-level, lifelong genetically determined exposure effects, which differ from short-term clinical interventions. The majority of GWAS data derive from European-ancestry populations, limiting generalizability. Some exposures used relaxed significance thresholds (P<5×10⁻⁶) due to limited genome-wide hits, potentially reducing instrument specificity. Residual pleiotropy cannot be fully excluded despite iterative outlier removal, and the modest case numbers for rare outcomes like aortic dissection reduce statistical power.

Principales conclusions

  • Higher Frailty Index causally increased risk of abdominal aortic aneurysm (OR=2.59), atherosclerosis (OR=2.03), and arterial thromboembolism (OR=4.03).
  • Longer telomere length strongly protected against abdominal aortic aneurysm (OR=0.50, P=6.42×10⁻¹²); shorter telomeres raise AAA risk.
  • Lower granulocyte proportion causally elevated thoracic aortic aneurysm risk (OR=0.018), implicating immune aging in structural aortic disease.
  • PAI-1 and all four epigenetic clocks (PhenoAge, GrimAge, HannumAge, HorvathAge) showed no significant vascular associations after FDR correction.
  • Biological aging drives vascular disease via distinct, pathway-specific mechanisms rather than a single generalized aging process.

Méthodologie

Two-sample Mendelian randomization using GWAS summary data; exposures from UK Biobank and European cohorts (n up to 472,174), outcomes from FinnGen R12 (up to 463,106 controls). Primary analysis used IVW with MR-Egger, weighted median, and weighted mode as sensitivity estimators; iterative outlier removal via RadialMR and MR-PRESSO with FDR correction for multiple comparisons.

Limites de l'étude

All GWAS data are predominantly European-ancestry, limiting cross-ethnic generalizability. Some instruments used relaxed P-value thresholds due to sparse genome-wide hits, risking weaker or pleiotropic instruments. MR captures lifelong genetically mediated exposure effects and cannot directly predict the impact of acute pharmacological or lifestyle interventions.

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