Optimal two-stage genome-wide association designs based on false discovery rate

DOI10.1016/J.CSDA.2006.04.034zbMath1157.62543OpenAlexW2065287218MaRDI QIDQ1010379

Hansong Wang, Daniel O. Stram

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.04.034

zbMATH Keywords

multiple comparisoncost-efficientfalse positive report probabilitylinkage disequilibrium (LD)whole-genome scan

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (4)

False discovery rates in somatic mutation studies of cancer ⋮ Hierarchical Bayesian analysis of somatic mutation data in cancer ⋮ Optimal multistage designs—a general framework for efficient genome-wide association studies ⋮ Optimizing design of two-stage experiments for transcriptional profiling

Cites Work

• Two-Stage Designs for Gene-Disease Association Studies
• Statistical significance for genomewide studies

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