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SUMMARY:Characterization of 1000 breast cancer genomes and transcriptomes 
 - Dr Christina Curtis (University of Cambridge)
DTSTART:20100310T150000Z
DTEND:20100310T160000Z
UID:TALK23567@talks.cam.ac.uk
CONTACT:Danielle Stretch
DESCRIPTION:Breast cancer is driven by the acquisition of key genetic aber
 rations that confer clonal growth advantages. The identification of recurr
 ent genomic alterations that impact gene expression can facilitate the elu
 cidation of such ‘driver’ events. Given the substantial inter-individu
 al variability of clinicopathological characteristics amongst breast cance
 r patients\, genome-wide measurements of multiple data types combined with
  clinical variables provide an invaluable resource to dissect the complexi
 ty of this disease. Here I describe an integrated analysis of copy-number\
 , allelic-ratios\, and gene-expression for 1000 primary tumors aimed at fu
 rther characterizing the genomic and transcriptional landscape of breast c
 ancer.\n\n
LOCATION:MR15\, Centre for Mathematical Sciences\, Wilberforce Road\, Camb
 ridge
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