Quantitative Trait Loci Analysis Using the False Discovery Rate

摘要: False discovery rate control has become an essential tool in any study that a very large multiplicity problem. rate-controlling procedures have also been found to be effective QTL analysis, ensuring reproducible results with few falsely discovered linkages and offering increased power discover QTL, although their acceptance slower than microarray for example. The reason is partly because the methodological aspects of applying false mapping are not well developed. Our aim this work lay solid foundation use mapping. We review criterion, appropriate interpretation FDR, alternative formulations FDR appeared statistical genetics literature. discuss important features approach, some stemming from new developments theory methodology, which deem it especially useful linkage analysis. procedures—the BH, resampling procedure, adaptive two-stage procedure—and validity these single- multiple-trait Finally we argue role suggesting, indicating significance of, confirming present guidelines its use.