Abstract
The statistical testing of multiple genetic markers in genetic linkage and association studies is discussed and shown to lead to a multiple-testing problem. Various solutions are discussed and demonstrated on published data. The false discovery rate (FDR) and several approaches of estimating it, are mentioned. Randomization (permutation) testing is highly recommended.
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Zhang, Q., Ott, J. (2009). Multiple Comparisons/Testing Issues. In: Handbook on Analyzing Human Genetic Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69264-5_9
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DOI: https://doi.org/10.1007/978-3-540-69264-5_9
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