在同胞对连锁研究中，利用总体等位基因共享来检测大规模数据错误和参数设定错误的存在。

Using overall allele-sharing to detect the presence of large-scale data errors and parameter misspecification in sib-pair linkage studies.

作者信息

Olson Jane M, Song Yeunjoo, Lu Qing, Wedig Geoffrey C, Goddard Katrina A B

机构信息

Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106-7281, USA.

出版信息

Hum Hered. 2004;58(1):49-54. doi: 10.1159/000081456.

DOI:10.1159/000081456

PMID:15604564

Abstract

Data errors and marker allele frequency misspecification can lead to incorrect inference in linkage analysis. Here we demonstrate the effect of each on an allele-sharing statistic in a sample of sib pairs. In the context of relationship testing, we propose a new test that compares the sample genome-wide sib-pair allele sharing to its expectation and show that this test can detect the presence of large-scale data and model errors.

摘要

数据错误和标记等位基因频率错误指定可能导致连锁分析中的错误推断。在此，我们在同胞对样本中证明了每种情况对等位基因共享统计量的影响。在亲缘关系测试的背景下，我们提出了一种新的测试方法，该方法将全基因组范围内的同胞对等位基因共享样本与其期望值进行比较，并表明该测试可以检测到大规模数据和模型错误的存在。