Correlation of Traits and Linkage Analysis Results
Author Information
Author(s): Ulgen Ayse, Han Zhihua, Li Wentian
Primary Institution: G.H. Sergievsky Center, Columbia University
Hypothesis
Do statistical correlations among quantitative traits lead to correlation of linkage results of these traits?
Conclusion
Studying covariances at specific locations in LOD scores may provide clues for further bivariate linkage analyses.
Supporting Evidence
- Correlation among phenotypes partially reflects the correlation among linkage analysis results.
- The most significant peaks found by using different traits do not often overlap.
- HDL is negatively correlated with all other variables.
- The derived quantity, cholesterol ratio, is highly correlated with log(TG).
- Significant differences in traits were found between males and females.
Takeaway
The study looks at how different traits are related and whether their genetic signals match up. It finds that just because two traits are related, it doesn't mean their genetic signals will be the same.
Methodology
The study used data from the Framingham Heart Study, applying Pearson's correlation coefficients and linkage analysis using the MERLIN program.
Potential Biases
Potential bias due to the reliance on self-reported data and the differences in data completeness between cohorts.
Limitations
The analysis relies on data from two cohorts with differing amounts of missing data, which may affect reliability.
Participant Demographics
Participants included older and younger generations from the Framingham Heart Study, with measurements taken for various quantitative traits.
Statistical Information
P-Value
5.6 × 10-7
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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