Individualized Assessment of Fracture Risk: Contribution of “Osteogenomic Profile”
- Publication Type:
- Journal Article
- Citation:
- Journal of Clinical Densitometry, 2017, 20 (3), pp. 353 - 359
- Issue Date:
- 2017-07-01
Closed Access
| Filename | Description | Size | |||
|---|---|---|---|---|---|
| PAC-10017042.pdf | Published Version | 305.43 kB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
© 2017 The International Society for Clinical Densitometry Over the past decade, several genetic variants or genes for osteoporosis have been identified through genome-wide association studies and candidate gene association studies. These genetic variants are common in the general population but have modest effect sizes, with odds ratio ranging from 1.1 to 1.5. Thus, the utility of any single variant is limited. However, theoretical and empirical studies have suggested that a profiling of multiple variants that are associated with bone phenotypes (i.e., “osteogenomic profile”) can improve the accuracy of fracture prediction and classification beyond that obtained by conventional clinical risk factors. These results support the view that an osteogenomic profile, when integrated into existing models, can help clinicians and patients alike to better assess the risk fracture for an individual, and raise the possibility of personalized osteoporosis care.
Please use this identifier to cite or link to this item: