A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms
作者： Xiaoyi Gao , Joshua Starmer , Eden R. Martin
DOI: 10.1002/GEPI.20310
关键词: Genetic association 、 Type I and type II errors 、 Bonferroni correction 、 False positive paradox 、 Computational biology 、 Linkage disequilibrium 、 Biology 、 Multiple comparisons problem 、 Statistics 、 Single-nucleotide polymorphism 、 Permutation
摘要: Multiple testing is a challenging issue in genetic association studies using large numbers of single nucleotide polymorphism (SNP) markers, many of which exhibit linkage …
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