Using Overall Allele-Sharing to Detect the Presence of Large-Scale Data Errors and Parameter Misspecification in Sib-Pair Linkage Studies

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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.