Results 11 to 20 of about 45,355 (266)
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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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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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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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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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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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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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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Nature Communications, 2022 Mendelian randomization can be used to mimic the effects of protein-targeting drugs in a population of individuals. Here, the authors have identified potential causal proteins for stroke in a two-sample Mendelian randomization framework, providing ...
Lingyan Chen +18 more
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Mendelian randomization in family data [PDF]
BMC Proceedings, 2009 The phrase "mendelian randomization" has become associated with the use of genetic polymorphisms to uncover causal relationships between phenotypic variables. The statistical methods useful in mendelian randomization are known as instrumental variable techniques.
Morris, Nathan J +2 more
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The next step in Mendelian randomization
eLife, 2023 Expanding a statistical approach called Mendelian randomization to include multiple variables may help researchers to identify new molecular causes of specific traits.
Matthias Weith, Andreas Beyer
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