Genome-Wide Pleiotropy of Osteoporosis-Related Phenotypes: The Framingham Study
Author Information
Author(s): David Karasik, Yi-Hsiang Hsu, Yanhua Zhou, L Adrienne Cupples, Douglas P Kiel, Serkalem Demissie
Primary Institution: Hebrew SeniorLife Institute for Aging Research and Harvard Medical School
Hypothesis
Correlated bone phenotypes would share SNPs more frequently than by chance.
Conclusion
The study found that most of the similarity between quantitative bone phenotypes may be attributed to pleiotropic effects of genes.
Supporting Evidence
- Significant genetic associations with BMD phenotypes did not overlap with bone geometric phenotypes.
- Correlation between phenotypic correlations and the proportion of associated SNPs was r = 0.91.
- At least 18% of SNPs identified may be thought of as being truly pleiotropic.
Takeaway
This study looked at how different bone traits are related and found that many of them share the same genetic factors.
Methodology
The study used genome-wide association studies (GWAS) to analyze SNPs in relation to various osteoporosis-related traits.
Limitations
The genetic contribution to fracture is not fully explained by bone strength factors alone; other risk factors need to be considered.
Participant Demographics
The sample consisted of 2073 women from the Framingham Heart Study, with a mean age of 65 years.
Statistical Information
P-Value
1.45 × 10−5 to 4.15 × 10−8
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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