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Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic
Ayse Ulgen1, Zhihua Han, Wentian Li
1G.H. Sergievsky Center, Columbia University, New York, New York 10032, USA. au2008@columbia.edu
BMC Genetics
|February 21, 2004
Summary
Statistical correlations between quantitative traits only partially reflect linkage analysis results. While some correlation exists, LOD-score correlations are generally low, with significant linkage peaks rarely overlapping between different traits.
Area of Science:
- Genetics
- Biostatistics
Background:
- Investigates the relationship between statistical correlations of quantitative traits and their linkage analysis results.
- Utilizes five measured traits (total cholesterol, fasting glucose, HDL cholesterol, blood pressure, triglycerides) and one derived trait (cholesterol/HDL ratio) for phenotype correlation.
- Employs four of these traits for linkage analysis.
Purpose of the Study:
- To determine if correlations among quantitative traits influence the correlation of their respective linkage analysis results.
- To quantify the extent to which phenotype correlations predict linkage result correlations.
Main Methods:
- Phenotype correlation studies were conducted on six quantitative traits.
- Linkage analysis was performed on four of the selected quantitative traits.
- Correlation between linkage analysis results derived from different traits was assessed.
Main Results:
- Statistical correlations among phenotypes partially explain correlations in linkage analysis results.
- The average correlation between LOD scores for different traits was found to be low.
- Significant linkage peaks identified using distinct traits seldom overlapped.
Conclusions:
- Covariance analysis at specific locations within LOD score profiles can offer insights.
- These insights may guide future bivariate linkage analyses.
- Suggests a nuanced relationship between phenotype correlation and linkage mapping.