BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:CVD forum talk: A Bayesian approach to the overlap analysis of epi
 demiologically linked traits  - Dr Jennifer Asimit\, Wellcome Trust Sanger
  Institute
DTSTART:20150527T130000Z
DTEND:20150527T140000Z
UID:TALK59209@talks.cam.ac.uk
CONTACT:38510
DESCRIPTION:Diseases often co-occur in individuals more often than expecte
 d by chance\, and this may be explained by shared underlying genetic aetio
 logy. Current detection approaches rely on p-values of individual studies.
  However\, differences in power between studies are not accounted for by p
 -values whereas Bayes’ factors (BFs) do\, and may be approximated from s
 ummary statistics. We use simulation studies to compare the power of frequ
 entist and Bayesian approaches to overlap analyses\, and to decide on appr
 opriate thresholds for comparison between the two methods. It is empirical
 ly illustrated that BFs have the advantage over p-values of a decreasing t
 ype I error rate as study size increases in single-disease associations. C
 onsequently\, the overlap analysis of traits from different-sized studies 
 encounters issues in fair p-value threshold selection\, while BFs are adju
 sted automatically. Extensive simulations show that Bayesian overlap analy
 ses tend to have higher power than those that assess association strength 
 with p-values\, particularly in low power scenarios. An application of our
  methods is used to identify variants associated with both obesity and ost
 eoarthritis.
LOCATION:Thomas Strangeways Room\, Strangeways Research Laboratory
END:VEVENT
END:VCALENDAR