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Wellcome Open Research, 2023 The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data.
Stephen Burgess +7 more
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Digital Health, 2023 Objective Inconsistent results were reported on the association of physical activity with ovarian cancer. However, given the limitations of confounders and inverse causation, the validity of the association remained unclear. Therefore, we conducted a two-
Jing Wang +3 more
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Wellcome Open Research, 2023 The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data.
Stephen Burgess +7 more
doaj +1 more source
Understanding the Assumptions Underlying Mendelian Randomization [PDF]
European Journal of Human Genetics, 2021 With the rapidly increasing availability of large genetic data sets in recent years, Mendelian Randomization (MR) has quickly gained popularity as a novel secondary analysis method. Leveraging genetic variants as instrumental variables, MR can be used to estimate the causal effects of one phenotype on another even when experimental research is not ...
Christiaan de Leeuw +4 more
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Effects of epigenetic age acceleration on kidney function: a Mendelian randomization study
Clinical Epigenetics, 2023 Background Previous studies have reported cross-sectional associations between measures of epigenetic age acceleration (EAA) and kidney function phenotypes. However, the temporal and potentially causal relationships between these variables remain unclear.
Yang Pan +7 more
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Methodological Challenges in Mendelian Randomization [PDF]
Epidemiology, 2014 We give critical attention to the assumptions underlying Mendelian randomization analysis and their biological plausibility. Several scenarios violating the Mendelian randomization assumptions are described, including settings with inadequate phenotype definition, the setting of time-varying exposures, the presence of gene-environment interaction, the ...
Tyler J, VanderWeele +3 more
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Can we apply the Mendelian randomization methodology without considering epigenetic effects?
Emerging Themes in Epidemiology, 2009 Introduction Instrumental variable (IV) methods have been used in econometrics for several decades now, but have only recently been introduced into the epidemiologic research frameworks.
Karmaus Wilfried +2 more
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Nature Communications, 2021 Mendelian Randomization approaches are being increasingly refined, but certain statistical limitations hinder their application to GWAS. Here, the authors propose a new Mendelian Randomization method to estimate bi- directional causal effects and ...
Liza Darrous +2 more
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Statistical methods for Mendelian randomization in genome-wide association studies: A review
Computational and Structural Biotechnology Journal, 2022 Genome-wide association studies have yielded thousands of associations for many common diseases and disease-related complex traits. The identified associations made it possible to identify the causal risk factors underlying diseases and investigate the ...
Frederick J. Boehm, Xiang Zhou
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Mendelian randomization in the bone field [PDF]
Bone, 2019 Identification of causative risk factors amenable for modification is essential for the prevention and treatment of osteoporosis. Observational studies have identified associations between several potentially modifiable risk factors and osteoporosis. However, observational studies are susceptible to confounding, reverse causation bias, and measurement ...
Larsson, Susanna C +2 more
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