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SUMMARY:New methods for genetic analysis - Simon Thornber\, GSK
DTSTART:20180227T130000Z
DTEND:20180227T140000Z
UID:TALK100819@talks.cam.ac.uk
CONTACT:Dr Vivien Gruar
DESCRIPTION:The cost of DNA sequencing has now reached a level where it is
  economically viable for large scale sequencing programmes of thousands of
  volunteers to be undertaken.  These data sets typically consist of patien
 ts genetic data\, and a list of characteristics known as a ‘phenotype’
 .  These data sets are then analysed using a technique known as a Genome w
 ide association study (GWAS)\, to identify phenotypic characteristics that
  associate with genetics.\n\nWith the richness of data available today\, w
 e would like to investigate alternative analysis approaches for these data
  sets.  These approaches can take advantage the fact that multiple phenoty
 pes may be linked (e.g.  Body Mass Index\, and resting heart rate)\, and t
 hat the data is on a scale rather than bucketed into “has phenotype” o
 r “does not have phenotype”.\n\nThis project would require investigati
 on into other methods that have already been published\, before proposing 
 and designing new analysis approaches.  \n\n
LOCATION:MR3 Centre for Mathematical Sciences
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