ReviewNature reviews. Endocrinology2013
Genetic profiling and individualized assessment of fracture risk.
Review in Nature reviews. Endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- Association between osteoprotegerin and RANKL single nucleotide polymorphisms and destructive rhinosinusitis in patients with granulomatosis with polyangiitis.BMC rheumatology · 2024Article
- Article
- Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men.Scientific reports · 2021Article
- Assessing the clinical utility of genetic profiling in fracture risk prediction: a decision curve analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Article
- Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men.Calcified tissue international · 2020Article
- A profiling analysis of contributions of cigarette smoking, dietary calcium intakes, and physical activity to fragility fracture in the elderly.Scientific reports · 2018Article
- Identification of potential pathogenic genes associated with osteoporosis.Bone & joint research · 2017Article
- Gene expression changes in human mesenchymal stem cells from patients with osteoporosis.Molecular medicine reports · 2015Article
- RANKL and OPG gene polymorphisms: associations with vertebral fractures and bone mineral density in premenopausal systemic lupus erythematosus.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2015Article
- Expanding Horizons for Abdominal Aortic Aneurysms.Aorta (Stamford, Conn.) · 2015Review
- Effect of interleukin-6 polymorphism on fracture risk.International journal of clinical and experimental medicine · 2015Article
- [Age and osteoporosis. Effects of aging on osteoporosis, the diagnostics and therapy].Der Internist · 2014Review
- Genome-wide Association Studies for Osteoporosis: A 2013 Update.Journal of bone metabolism · 2014Review
- Comparison between various fracture risk assessment tools.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2014Review
- Skeletal manifestations of treatment of breast cancer on premenopausal women.Current osteoporosis reports · 2013Review
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Osteoporosis and its consequence of fragility fracture impose a considerable demand on health-care services because fracture is associated with a series of adverse events, including re-fracture and mortality. One of the major priorities in osteoporosis care is the development of predictive models to identify individuals at high risk of fracture for early intervention and management. Existing predictive models include clinical factors and anthropometric characteristics but have not considered genetic variants in the prediction. Genome-wide association studies conducted in the past decade have identified several genetic variants relevant to fracture risk. These genetic variants are common in frequency but have very modest effect sizes. A remaining challenge is to use these genetic data to individualize fracture risk assessment on the basis of an individual's genetic risk profile. Empirical and simulation studies have shown that the usefulness of a single genetic variant for fracture risk assessment is very limited, but a profile of 50 genetic variants, each with odds ratio ranging from 1.02 to 1.15, could improve the accuracy of fracture prediction beyond that obtained by use of existing clinical risk factors. Thus, genetic profiling when integrated with existing risk assessment models could inform a more accurate prediction of fracture risk in an individual.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.