A structural mean modeling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations - Summary - MDSpire
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A structural mean modeling Mendelian randomization approach to investigate the lifecourse effect of adiposity: applied and methodological considerations
To estimate the period effects of adiposity at childhood and adulthood on cardiovascular disease (CVD), type 2 diabetes (T2D), and breast cancer using Mendelian randomization (MR) methods, specifically focusing on the causal relationships and their implications for public health.
Key Findings:
Higher adulthood adiposity is associated with increased risk of CVD and T2D, indicating a critical period for intervention.
Higher childhood adiposity has a protective effect against breast cancer risk, suggesting complex relationships that warrant further investigation.
SMM-MR and IVW-MVMR have different assumptions and implications for lifecourse research, which can lead to varying interpretations of the data.
Interpretation:
The study highlights the importance of using appropriate MR methods to accurately assess the impact of adiposity across different life stages, emphasizing the need for careful consideration of methodological assumptions and their influence on health outcomes.
Limitations:
Potential biases due to the assumptions required for MR methods, such as the relevance and independence of genetic instruments.
The complexity of accurately modeling time-varying effects, which may lead to misinterpretation of results.
Conclusion:
The findings underscore the significance of methodological choices in MR studies, particularly in lifecourse research, and suggest that different MR approaches can yield varying insights into the effects of adiposity on health outcomes, informing future research directions.
