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SUMMARY:The Exposome in Epidemiological Practice - Prof. Paolo Vineis - Sc
 hool of Public Health\, Imperial College London
DTSTART:20180228T161500Z
DTEND:20180228T171500Z
UID:TALK98446@talks.cam.ac.uk
CONTACT:David Greaves
DESCRIPTION:There are two broad interpretations of the exposome concept an
 d they are\ncomplementary. One\, called “top-down”\, is mainly interes
 ted in identifying new\ncauses of disease by an agnostic approach based on
  omic technologies\, similar\nto what has been applied in genetics with th
 e GWAS design. This first approach\nis sometimes called “EWAS”\, or 
 “exposome-wide association study”\, and\nutilizes tools such as metabo
 lomics or adductomics to generate new hypotheses\non disease etiology. The
  second general approach is called “bottom-up” and\nstarts with a set 
 of exposures or environmental compartments to determine the\npathways or n
 etworks by which such exposures lead to disease\, i.e. which\npathways/net
 works are perturbed. We have used the latter approach in the\nEXPOsOMICS i
 nvestigation (Vineis et al\, 2016) as we explain below.\n\n\nIn this proje
 ct we have selected a few priorities for research\, with relevant\npractic
 al implications for policy making and stakeholders: can we consolidate\nou
 r knowledge on the health effects of two important exposures\, air polluti
 on\nand water contaminants\, reinforcing causal assessment? Can we detect 
 variation\nin exposures in a finer way than with the usual tools of epidem
 iology? Can we\ndetect the effects of low and very low levels of exposure 
 using omic\nbiomarkers? How can we exploit omic measurements to study mixt
 ures? Can\nwe use improved exposure assessment to calibrate estimates of r
 isk and burden\nof disease? Finally\, methodological aims include the vali
 dation of a set of five\nomics measured in the same subjects (for a total 
 number of more than 2\,000)\,\nand the development of statistical tools to
  allow the analysis of very complex\ndatasets. A statistical “toolkit”
  has been developed.
LOCATION:Lecture Theatre 1\, Computer Laboratory
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