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SUMMARY:Joint imputation and estimation of haplotype transition probabilit
 ies - Wolfgang Lehrach\, Microsoft Research Cambridge
DTSTART:20091202T110000Z
DTEND:20091202T120000Z
UID:TALK21730@talks.cam.ac.uk
CONTACT:David Knowles
DESCRIPTION:I'll show that the Product of Approximate Conditions model as 
 used for imputating missing SNPs in lower density SNP arrays from higher d
 ensity SNP arrays can be improved by using Expectation Propagation to lear
 n the haplotype transition probabilities. This increases imputation perfor
 mance and allows imputation without a genetic map. I'll extend this model 
 to the case where the imputation is based upon multiple reference populati
 ons.  I'll also talk about various ways to capture more of population stru
 cture\, deal with issues such as phasing\, increase the amount of evolutio
 nary history captured in the modelling\, and how it could be used for loca
 ting disease causing SNPs.
LOCATION:Cambridge University Engineering Department\, CBL Rm #438 (http:/
 /blg.eng.cam.ac.uk/t/bin/view/Public/Contact)
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