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Examining the use of MR to inform disease causation in cancer epidemiology

22 May 2018

Below are two recent papers examining the use of Mendelian randomization (MR) to inform disease causation in cancer epidemiology:

"Mendelian Randomization Studies of Cancer Risk: a Literature Review"

"Causal inference in cancer epidemiology: what is the role of Mendelian randomization?"

The first, recently published in Current Epidemiology Reports, provides a summary of recent studies that have used MR to examine the effects of exposures, lifestyle factors, physical traits, and/or biomarkers on cancer risk in humans.

The second, led by ICEP researchers, details various strengths of applying MR to the study of cancer (for example, how it can be used to address long latency periods of exposures and reverse causation bias), limitations to the method (for example, the possibility of "collider bias" arising in studies of cancer progression), case studies highlighting recent analyses that have employed MR to interrogate causality, and recent methodological developments in the field.

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