Mendel's laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues
- PMID: 32207040
- PMCID: PMC7125255
- DOI: 10.1007/s10654-020-00622-7
Mendel's laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues
Abstract
We respond to criticisms of Mendelian randomization (MR) by Mukamal, Stampfer and Rimm (MSR). MSR consider that MR is receiving too much attention and should be renamed. We explain how MR links to Mendel's laws, the origin of the name and our lack of concern regarding nomenclature. We address MSR's substantive points regarding MR of alcohol and cardiovascular disease, an issue on which they dispute the MR findings. We demonstrate that their strictures with respect to population stratification, confounding, weak instrument bias, pleiotropy and confounding have been addressed, and summarise how the field has advanced in relation to the issues they raise. We agree with MSR that "the hard problem of conducting high-quality, reproducible epidemiology" should be addressed by epidemiologists. However we see more evidence of confrontation of this issue within MR, as opposed to conventional observational epidemiology, within which the same methods that have demonstrably failed in the past are simply rolled out into new areas, leaving their previous failures unexamined.
Keywords: Alcohol; Causal inference; Genetic epidemiology; Mendelian randomization; Nutritional epidemiology.
Conflict of interest statement
GDS and SE wrote the first extended exposition of Mendelian randomization, therefore they have considerable intellectual investment in the approach, and have received funding for MR studies over many years. GDS directs an MRC Unit that conducts a substantial amount of MR research.
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Comment in
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Reply to: Mendel's laws, Mendelian randomization and causal inference in observational data: substantive and nomenclatural issues.Eur J Epidemiol. 2020 Jul;35(7):725-726. doi: 10.1007/s10654-020-00652-1. Epub 2020 Jun 11. Eur J Epidemiol. 2020. PMID: 32529511 No abstract available.
References
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- Davey Smith G, Ebrahim S. ’Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol. 2003;32(1):1–22. - PubMed
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