2012
DOI: 10.1158/2159-8290.cd-12-0424
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Integrative Cancer Epidemiology—The Next Generation

Abstract: Summary We outline an integrative approach to extend the boundaries of molecular cancer epidemiology by integrating modern and rapidly evolving “omics” technologies into state-of-the-art molecular epidemiology. In this way, one can comprehensively explore the mechanistic underpinnings of epidemiologic observations into cancer risk and outcome. We highlight the exciting opportunities to collaborate across large observational studies and to forge new interdisciplinary collaborative ventures.

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Cited by 29 publications
(15 citation statements)
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References 27 publications
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“…Advances in technology have created an environment where practitioners, researchers, as well as members of the public can access such epidemiologic information almost instantaneously. However, the large number of epidemiologic studies being published, often with seemingly inconsistent or conflicting findings, likely leads to confusion among decision makers and the general public (29). Social media and the increase in communication sources and channels might compound this challenge (and opportunity) even further (30).…”
Section: Resultsmentioning
confidence: 99%
“…Advances in technology have created an environment where practitioners, researchers, as well as members of the public can access such epidemiologic information almost instantaneously. However, the large number of epidemiologic studies being published, often with seemingly inconsistent or conflicting findings, likely leads to confusion among decision makers and the general public (29). Social media and the increase in communication sources and channels might compound this challenge (and opportunity) even further (30).…”
Section: Resultsmentioning
confidence: 99%
“…Spitz et al 379 have used the term “integrative epidemiology” to describe an integration of molecular analyses (on exposures and tumors) into epidemiology. Integrative epidemiology encompasses MPE and conventional molecular epidemiology.…”
Section: Note Added In Proofmentioning
confidence: 99%
“…A number of conceptual frameworks have been proposed that integrate information across levels of disease etiology, including the “web of disease” of MacMahon and Pugh (19), the “wheel” of Mausner et al (20), “systems epidemiology”(21), and more recent models of multifactorial etiology ((22-27), Multilevel approaches are generally characterized by three main levels: 1) macro-environment, referred to elsewhere as “eco-level” (23, 24); 2) individual; and 3) biology (Table 1). Each of these levels is further characterized by sub-levels (Table 1) that define domains of variables involved in cancer etiology or outcomes.…”
Section: Overview Of Current Multilevel Approachesmentioning
confidence: 99%