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Environmental factor
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==Measurement== For complex disorders, specific genetic causes appear to account for only 10-30% of the disease incidence, but there has been no standard or systematic way to measure the influence of environmental exposures. Some studies into the interaction of genetic and environmental factors in the incidence of [[diabetes]] have demonstrated that "environment-wide association studies" (EWAS, or exposome-wide association studies) may be feasible.<ref>{{cite journal | vauthors = Patel CJ, Bhattacharya J, Butte AJ | title = An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus | journal = PLOS ONE | volume = 5 | issue = 5 | pages = e10746 | date = May 2010 | pmid = 20505766 | pmc = 2873978 | doi = 10.1371/journal.pone.0010746 | doi-access = free | bibcode = 2010PLoSO...510746P }}</ref><ref>{{cite journal | vauthors = Patel CJ, Chen R, Kodama K, Ioannidis JP, Butte AJ | title = Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus | journal = Human Genetics | volume = 132 | issue = 5 | pages = 495β508 | date = May 2013 | pmid = 23334806 | pmc = 3625410 | doi = 10.1007/s00439-012-1258-z }}{{dead link|date=May 2016}}</ref> However, it is not clear what data sets are most appropriate to represent the value of "E".<ref>{{cite journal | vauthors = Smith MT, Rappaport SM | title = Building exposure biology centers to put the E into "G x E" interaction studies | journal = Environmental Health Perspectives | volume = 117 | issue = 8 | pages = A334βA335 | date = August 2009 | pmid = 19672377 | pmc = 2721881 | doi = 10.1289/ehp.12812 }}</ref>
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