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Published in: Osteoporosis International 2/2021

01-02-2021 | Osteoporosis | Original Article

Assessing the clinical utility of genetic profiling in fracture risk prediction: a decision curve analysis

Authors: T. P. Ho-Le, H. T. T. Tran, J. R. Center, J. A. Eisman, H. T. Nguyen, T. V. Nguyen

Published in: Osteoporosis International | Issue 2/2021

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Abstract

Summary

Using decision curve analysis on 2188 women and 1324 men, we found that an osteogenomic profile constructed from 62 genetic variants improved the clinical net benefit of fracture risk prediction over and above that of clinical risk factors and BMD.

Introduction

Genetic profiling is a promising tool for assessing fracture risk. This study sought to use the decision curve analysis (DCA), a novel approach to determine the impact of genetic profiling on fracture risk prediction.

Methods

The study involved 2188 women and 1324 men, aged 60 years and above, who were followed for up to 23 years. Bone mineral density (BMD) and clinical risk factors were obtained at baseline. The incidence of fracture and mortality were recorded. A weighted individual genetic risk score (GRS) was constructed from 62 BMD-associated genetic variants. Four models were considered: CRF (clinical risk factors); CRF + GRS; Garvan model (GFRC) including CRF and femoral neck BMD; and GFRC + GRS. The DCA was used to evaluate the clinical net benefit of predictive models at a range of clinically reasonable risk thresholds.

Results

In both women and men, the full model GFRC + GRS achieved the highest net benefits. For 10-year risk threshold > 18% for women and > 15% for men, the GRS provided net benefit above those of the CRF models. At 20% risk threshold, adding the GRS could help to avoid 1 additional treatment per 81 women or 1 per 24 men compared with the Garvan model. At lower risk thresholds, there was no significant difference between the four models.

Conclusions

The addition of genetic profiling into the clinical risk factors can improve the net clinical benefit at higher risk thresholds of fracture. Although the contribution of genetic profiling was modest in the presence of BMD + CRF, it appeared to be able to replace BMD for fracture prediction.
Appendix
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Metadata
Title
Assessing the clinical utility of genetic profiling in fracture risk prediction: a decision curve analysis
Authors
T. P. Ho-Le
H. T. T. Tran
J. R. Center
J. A. Eisman
H. T. Nguyen
T. V. Nguyen
Publication date
01-02-2021
Publisher
Springer London
Published in
Osteoporosis International / Issue 2/2021
Print ISSN: 0937-941X
Electronic ISSN: 1433-2965
DOI
https://doi.org/10.1007/s00198-020-05403-2

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