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A gene-model-free method for linkage analysis of a disease-related-trait based on analysis of proband/sibling pairs

机译:基于先证/同胞对的疾病关联性连锁分析的无基因模型方法

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摘要

In this paper we investigate the power of finding linkage to a disease locus through analysis of the disease-related traits. We propose two family-based gene-model-free linkage statistics. Both involve considering the distribution of the number of alleles identical by descent with the proband and comparing siblings with the disease-related trait to those without the disease-related-trait. The objective is to find linkages to disease-related traits that are pleiotropic for both the disease and the disease-related-traits. The power of these statistics is investigated for Kofendrerd Personality Disorder-related traits a (Joining/founding cults) and trait b (Fear/discomfort with strangers) of the simulated data. The answers were known prior to the execution of the reported analyses. We find that both tests have very high power when applied to the samples created by combining the data of the three cities for which we have nuclear family data.
机译:在本文中,我们通过分析与疾病相关的性状,研究发现与疾病基因座相关联的能力。我们提出了两个基于家庭的无基因模型的连锁统计。两者都涉及考虑与先证者血统相同的等位基因数目的分布,并将具有疾病相关性状的兄弟姐妹与没有疾病相关性状的兄弟姐妹进行比较。目的是找到与疾病和疾病相关性状都具有多效性的疾病相关性状的联系。对于模拟数据的Kofendrerd人格障碍相关特征a(加入/创立邪教)和特征b(对陌生人的恐惧/不适),研究了这些统计数据的作用。在执行报告的分析之前,答案是已知的。我们发现,将这两个测试应用于通过合并拥有核心家庭数据的三个城市的数据而创建的样本时,具有很高的功效。

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