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SUMMARY:Genetic Prediction of Cardiovascular Disease - Prof. Frank Dudbrid
 ge - University of Leicester
DTSTART:20170629T120000Z
DTEND:20170629T130000Z
UID:TALK70540@talks.cam.ac.uk
CONTACT:47770
DESCRIPTION:Identification of individuals at risk of cardiovascular diseas
 e is important for primary prevention strategies such as the prescription 
 of statins to high risk groups.  Epidemiological risk scores such as QRISK
 2 have proved clinically useful for such purposes\, but the substantial he
 ritability of cardiovascular disease suggests that genotypic data should p
 rovide substantial improvements in predictive accuracy.  Genomewide associ
 ation studies in large cohorts have discovered dozens of genetic variants 
 associated with CVD\, but their utility for individual risk prediction has
  so far proved modest.  I will review recent studies of genetic prediction
  in CVD and present theoretical results suggesting that substantial improv
 ements over epidemiological risk scores may soon be possible.  I will disc
 uss applications of genetic prediction to multiple traits at once\, and pr
 opose some novel statistical measures of accuracy for this situation.
LOCATION:University of Cambridge Biomedical Campus (Addenbrooke’s Hospit
 al Site) Clinical School Building Lecture Theatre 2
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