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SUMMARY:Identifying true positive associations in genome-wide association 
 studies - Jenny Barrett\, University of Leeds
DTSTART:20070710T133000Z
DTEND:20070710T143000Z
UID:TALK6780@talks.cam.ac.uk
CONTACT:Nikolaos Demiris
DESCRIPTION:One of the main strategies in the search for genes that influe
 nce the risk of disease has been to compare the distribution of specific g
 enetic variants in cases and population-based controls. It is now feasible
  to do this for hundreds of thousands of variants across the whole genome\
 , instead of targeting biologically promising genes\, in genome-wide assoc
 iation (GWA) studies. Falsely positive associations can arise due to genot
 yping problems\, type 1 error (compounded by the large number of (correlat
 ed) statistical tests being carried out) and confounding (as a result of p
 opulation stratification). Strategies for dealing with these issues will b
 e presented and discussed with reference to a GWA study of cardiovascular 
 disease.
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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