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SUMMARY:The Reporting of Associations in Genome-Wide Studies - Jon Wakefie
 ld\, University of Washington
DTSTART:20070709T133000Z
DTEND:20070709T143000Z
UID:TALK7641@talks.cam.ac.uk
CONTACT:Nikolaos Demiris
DESCRIPTION:In the context of genome-wide association studies we critique 
 a number of methods that have been suggested for flagging associations for
  further investigation. The p-value is by far the most commonly used measu
 re\, but requires careful calibration when the a priori probability of an 
 association is small\, and discards information by not considering the pow
 er associated with each test. The q-value is a frequentist method by which
  the false discovery rate (FDR) may be controlled. We advocate the use of 
 the Bayes factor as a summary of the information in the data with respect 
 to the comparison on the null and alternative hypotheses\, and describe a 
 recently-proposed approach to the calculation of the Bayes factor (Wakefie
 ld\, 2007) that is easily implemented. The Bayes factor and the q-value pr
 ovide complementary information and may be used to reduce the number of re
 ported findings that are subsequently not reproducible.\n\nWakefield (2007
 ). A Bayesian measure of the probability of false discovery in genetic epi
 demiology studies. Available on-line\, to appear: _American Journal of Hum
 an Genetics_.
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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