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Addressing the credibility crisis in Mendelian randomization [PDF]
BMC MedicineBackground Genome-wide association studies have enabled Mendelian randomization analyses to be performed at an industrial scale. Two-sample summary data Mendelian randomization analyses can be performed using publicly available data by anyone who has ...
Stephen Burgess +4 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 Boehm, Xiang Zhou
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Nature Reviews Methods Primers, 2022 Mendelian randomization (MR) is a term that applies to the use of genetic variation to address causal questions about how modifiable exposures influence different outcomes. The principles of MR are based on Mendel's laws of inheritance and instrumental variable estimation methods, which enable the inference of causal effects in the presence of ...
Eleanor Sanderson +10 more
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Frontiers in Cardiovascular Medicine, 2022 ObjectiveThis study aimed to estimate the causal effects of Coronavirus disease 2019 susceptibility and hospitalization on cardiovascular disease death using two-sample Mendelian randomization analysis.MethodsWe used statistics from a genome-wide ...
Jia-peng Miao, Xiao-yu Gu, Rui-zheng Shi
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Pleiotropy-robust Mendelian randomization [PDF]
International Journal of Epidemiology, 2016 Abstract Background The potential of Mendelian Randomization studies is rapidly expanding due to (i) the growing power of GWAS meta-analyses to detect genetic variants associated with several exposures, and (ii) the increasing availability of these genetic variants in large-scale surveys.
van Kippersluis, Hans +1 more
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Wellcome Open Research, 2020 The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data. In this manuscript, we describe functions that have been added to the package or
Jim R. Broadbent +5 more
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JAMA, 2009 Despite several observational studies showing that lipoprotein(a), or Lp(a), is associated with myocardial infarction (MI)1, 2, only circumstantial evidence exists regarding the causal nature of this association. Observational epidemiological studies, even with a sound prospective design, can provide hints to disease pathogenesis when the effect size ...
George Thanassoulis +1 more
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Frontiers in Public Health, 2023 BackgroundObservational studies have suggested an association between obesity and iron deficiency anemia, but such studies are susceptible to reverse causation and residual confounding.
Tingting Wang +15 more
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Mendelian Randomization: Concepts and Scope [PDF]
Cold Spring Harbor Perspectives in Medicine, 2021 Mendelian randomization (MR) is a method of studying the causal effects of modifiable exposures (i.e., potential risk factors) on health, social, and economic outcomes using genetic variants associated with the specific exposures of interest. MR provides a more robust understanding of the influence of these exposures on outcomes because germline ...
Richmond, Rebecca, Davey Smith, George
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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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