There are two distinct ways of attacking complex problems with adverse outcomes. One is top-down or hypothesis driven; in engineering it is called root cause corrective action (RCCA). A second is bottom-up or data driven - it is the basis of case-control in epidemiology (sometimes called agnostic or non-targeted).
Does anyone have any thoughts as to how these two approaches may have been combined to solve exposome - genome problems - or what we sometimes call the environment-genome interactions? Any good examples out there?
thanks, Joach
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