Commenges D, Beurton-Aimar M
INSERM U330, University of Bordeaux II, France.
Genet Epidemiol. 1997;14(6):971-4. doi: 10.1002/(SICI)1098-2272(1997)14:6<971::AID-GEPI68>3.0.CO;2-I.
The weighted pairwise correlation (WPC) approach provides simple and flexible tests for genetic linkage which may be adapted to qualitative, quantitative or age-dependent traits. These tests also seem to have good power. However, when working with large pedigrees, a disease susceptibility gene not linked to the marker studied induces correlations of the trait values, leading to inflated type I errors for these tests. We propose here a new approach for inference based on the randomization of the alleles following the Mendelian laws and conditioning on the alleles of the founders. This approach is applied to the analysis of the quantitative traits in a set of simulated pedigrees. The alpha posteriori comparison of the findings to the true model indicates directions for future work.
加权成对相关性（WPC）方法为遗传连锁提供了简单且灵活的检验，它可适用于定性、定量或年龄依赖性性状。这些检验似乎也具有良好的功效。然而，在处理大型家系时，一个与所研究标记不连锁的疾病易感性基因会导致性状值之间产生相关性，从而使这些检验的I型错误率膨胀。我们在此提出一种基于孟德尔定律的等位基因随机化并以奠基者等位基因为条件的新推断方法。该方法应用于一组模拟家系中数量性状的分析。将结果与真实模型进行α后验比较，为未来工作指明了方向。
