Multiple Significance Testing in Genetic Epidemiology

Abstract

The simultaneous testing of multiple hypotheses in one and the same study tends to inflate the overall probability of obtaining one or more false positive results. Several methods have been devised to control this study‐wise global false positive rate through the adjustment of the test‐specific significance threshold applied to p‐values. The necessity of adjusting the significance levels in genetic analyses of complex human traits has, however, been a matter of scientific debate.

Keywords: Bonferroni correction; linkage analysis; fine mapping; allelic association; LOD score

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Hochberg Y and Tamhane AC (1987) Multiple Comparisons Procedures New York, NY: John Wiley.

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Ott J (1999) Analysis of Human Genetic Linkage Baltimore, MD: Johns Hopkins University Press.

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How to Cite close
Krawczak, Michael(Jan 2006) Multiple Significance Testing in Genetic Epidemiology. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1038/npg.els.0005930]