数量性状之间的相关性以及相应LOD分数之间的相关性：多效性效应的检测。
Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects.
作者信息
Ulgen Ayse, Han Zhihua, Li Wentian
机构信息
G.H. Sergievsky Center, Columbia University, New York, New York 10032, USA.
出版信息
BMC Genet. 2003 Dec 31;4 Suppl 1(Suppl 1):S60. doi: 10.1186/1471-2156-4-S1-S60.
BACKGROUND
We address the question of whether statistical correlations among quantitative traits lead to correlation of linkage results of these traits. Five measured quantitative traits (total cholesterol, fasting glucose, HDL cholesterol, blood pressure, and triglycerides), and one derived quantitative trait (total cholesterol divided by the HDL cholesterol) are used for phenotype correlation studies. Four of them are used for linkage analysis.
RESULTS
We show that although correlation among phenotypes partially reflects the correlation among linkage analysis results, the LOD-score correlations are on average low. The most significant peaks found by using different traits do not often overlap.
CONCLUSION
Studying covariances at specific locations in LOD scores may provide clues for further bivariate linkage analyses.
背景
我们探讨数量性状之间的统计相关性是否会导致这些性状连锁结果的相关性。五个测量的数量性状（总胆固醇、空腹血糖、高密度脂蛋白胆固醇、血压和甘油三酯）以及一个衍生的数量性状（总胆固醇除以高密度脂蛋白胆固醇）用于表型相关性研究。其中四个用于连锁分析。
结果
我们表明，虽然表型之间的相关性部分反映了连锁分析结果之间的相关性，但平均而言，LOD 评分相关性较低。使用不同性状发现的最显著峰值并不经常重叠。
结论
研究 LOD 评分中特定位置的协方差可能为进一步的双变量连锁分析提供线索。
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