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Updated: May 7, 2026

Methylated DNA Immunoprecipitation
Published on: January 2, 2009
Epigenetics and epidemiology: models of study and examples.
Karin van Veldhoven1, Shati Rahman, Paolo Vineis
1HuGeF Foundation, Turin, Italy.
The meet-in-the-middle (MITM) approach uses -omics biomarkers to strengthen evidence for environmental causes of disease. This method can help clarify links between endocrine disruptors and breast cancer, improving epidemiological study validity.
Area of Science:
- Environmental epidemiology
- Biomarker research
- Endocrinology
Background:
- Epidemiological studies identify environmental disease causes but face methodological limitations like exposure assessment issues and confounding.
- Mendelian randomization and the meet-in-the-middle (MITM) approach are proposed to enhance observational study validity.
- The MITM approach integrates -omics data to identify intermediate biomarkers linking environmental exposures to disease outcomes.
Purpose of the Study:
- To introduce and exemplify the meet-in-the-middle (MITM) approach for investigating environmental exposures and disease.
- To explore the potential causal association between endocrine disruptors and breast cancer using the MITM framework.
- To review existing literature to illustrate the application of MITM in endocrine disruptor-breast cancer research.
Main Methods:
- The MITM approach involves three steps: 1. Association between exposure and disease. 2. Association between exposure (or its biomarkers) and intermediate -omic biomarkers. 3. Association between disease outcome and intermediate -omic biomarkers.
- Literature review to identify studies relevant to endocrine disruptors, breast cancer, and potential intermediate biomarkers.
- Application of the MITM framework to assess the strength of evidence for a causal link.
Main Results:
- The MITM approach provides a structured method to evaluate potential causal relationships by triangulating evidence across exposure, biomarkers, and disease.
- Preliminary literature suggests associations that, when assessed through the MITM lens, may strengthen or weaken the hypothesis of endocrine disruptors causing breast cancer.
- The review highlights the utility of -omics data in dissecting complex etiological pathways.
Conclusions:
- The MITM approach offers a robust framework for improving the causal inference in environmental epidemiology, particularly for complex diseases like breast cancer.
- Further research applying the MITM approach is warranted to elucidate the role of specific endocrine disruptors in breast cancer etiology.
- -Omics technologies are crucial for advancing our understanding of environmental health and disease mechanisms.
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