| Title: | Identification of 613 new loci associated with heel bone mineral density and a polygenic risk score for bone mineral density, osteoporosis and fracture |
| Journal: | PLOS ONE |
| Published: | 26 Jul 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/30048462/ |
| DOI: | https://doi.org/10.1371/journal.pone.0200785 |
| URL: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0200785&type=printable |
| Citations: | 152 (38 in last 2 years) as of 8 Aug 2024 |
Publication 2445
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Low bone mineral density (BMD) leads to osteoporosis, and is a risk factor for bone fractures, including stress fractures. Using data from UK Biobank, a genome-wide association study identified 1,362 independent SNPs that clustered into 899 loci of which 613 are new. These data were used to train a genetic algorithm using 22,886 SNPs as predictors and showing a correlation with heel bone mineral density of 0.415. Combining this genetic algorithm with height, weight, age and sex resulted in a correlation with heel bone mineral density of 0.496. Individuals with low scores (2.2% of total) showed a change in BMD of -1.16 T-score units, an increase in risk for osteoporosis of 17.4 fold and an increase in risk for fracture of 1.87 fold. Genetic predictors could assist in the identification of individuals at risk for osteoporosis or fractures.1 Author
- Stuart K. Kim
1 Application
| Application ID | Title |
|---|---|
| 17847 | GWAS for risk for sports injuries |
Enabling scientific discoveries that improve human health