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SUMMARY:Patient-past based precision medicine: multi-morbidities in a life
 -course perspective - Professor Soren Brunak from  University of Copenhage
 n
DTSTART:20180910T120000Z
DTEND:20180910T130000Z
UID:TALK109786@talks.cam.ac.uk
CONTACT:72001
DESCRIPTION:Multi-step disease trajectories are key to the understanding o
 f human disease progression patterns and their underlying molecular level 
 etiologies. The number of human protein coding genes is small\, and many g
 enes are presumably impacting more than one disease\, a fact that complica
 tes the process of identifying actionable variation for use in precision m
 edicine efforts. We present approaches to the identification of frequent d
 isease trajectories from population-wide healthcare data comprising millio
 ns of patients and corresponding strategies for linking disease co-occurre
 nces to genomic individuality.\n \nThe talk will present an analysis of al
 l significant disease associations occurring prior to cancer diagnoses. Ac
 ross 17 cancer types\, a total of 648 significant diagnoses correlated dir
 ectly with a cancer\, while 168 diagnosis trajectories of time-ordered ste
 ps were identified for seven cancer types. \n \nBy exploring the pre-cance
 r landscape using this large data set\, we identified disease associations
  that can be used to derive mechanistic hypotheses for future cancer resea
 rch. We find that common diseases shared across cancer types converge towa
 rds the common theme of chronic inflammation. The trajectory concept can p
 ossibly also be used to systematically redefine phenotypes as longitudinal
  patterns. This can lead to a new way of assessing the validity of diagnos
 es (mis- and over-diagnosis)\, or alternatively used to suggest missing di
 agnoses (under-diagnosis)\, from their temporal context. Such a diagnosis 
 “clean-up” step is also relevant in conventional case-control studies 
 where false negative and false positive individuals bring down the statist
 ical power when identifying disease related genomic variation. \n \n
LOCATION:CRUK CI Lecture Theatre (Room 001)
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