Genetic Prediction of Lifetime Risk of Fracture

Thao P Ho-Le, Thach S Tran, Huy G Nguyen, Jacqueline R Center, John A Eisman, Tuan V Nguyen
The Journal of Clinical Endocrinology & Metabolism, Volume 108, Issue 11, November 2023, Pages e1403–e1412
https://doi.org/10.1210/clinem/dgad254

Abstract

Context

Fragility fracture is a significant public health problem because it is associated with increased mortality. We want to find out whether the risk of fracture can be predicted from the time of birth.

Objective

To examine the association between a polygenic risk score (PRS) and lifetime fracture risk.

Methods

This population-based prospective study involved 3515 community-dwelling individuals aged 60+ years who have been followed for up to 20 years. Femoral neck bone mineral density (BMD) was measured by dual-energy x-ray absorptiometry. A PRS was created by summing the weighted number of risk alleles for each single nucleotide polymorphism using BMD-associated coefficients. Fragility fractures were radiologically ascertained, whereas mortality was ascertained through a state registry. Residual lifetime risk of fracture (RLRF) was estimated by survival analysis.

Results

The mortality-adjusted RLRF for women and men was 36% (95% CI, 34%–39%) and 21% (18%–24%), respectively. Individuals with PRS > 4.24 (median) had a greater risk (1.2-fold in women and 1.1-fold in men) than the population average risk. For hip fracture, the average RLRF was 10% (95% CI, 8%–12%) for women and ∼5% (3%–7%) for men; however, the risk was significantly increased by 1.5-fold and 1.3-fold for women and men with high PRS, respectively.

Conclusion

A genetic profiling of BMD-associated genetic variants is associated with the residual lifetime risk of fracture, suggesting the potential for incorporating the polygenic risk score in personalized fracture risk assessment.

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