Upward bias in estimation of genetic effects.
Because of the large number of tests for linkage that are performed in genome scans, the naive estimator of the size of a genetic effect in cases of borderline significance can be inflated and lead to unrealistic expectations for successful replication. As a remedy, this report proposes lower confidence limits that account for the multiple comparisons of the genome scan.
Siegmund
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Department of Statistics, Stanford University, Stanford, CA 94305, USA. dos@stat.stanford.edu
D015982:Bias; D016001:Confidence Intervals; D008040:Genetic Linkage; D005819:Genetic Markers; D005821:Genetic Techniques; D009010:Monte Carlo Method; D040641:Quantitative Trait Loci; D019655:Quantitative Trait, Heritable
D005819:Genetic Markers