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Usefulness of Mendelian Randomization in Observational Epidemiology [PDF]

open access: goldInternational Journal of Environmental Research and Public Health, 2010
Mendelian randomization refers to the random allocation of alleles at the time of gamete formation. In observational epidemiology, this refers to the use of genetic variants to estimate a causal effect between a modifiable risk factor and an outcome of interest.
Murielle Bochud, Valentin Rousson
openalex   +6 more sources

Introduction to Mendelian randomization. [PDF]

open access: yesAnn Clin Epidemiol
Mendelian randomization (MR), i.e. instrumental variable analysis using genetic instruments, is an approach that incorporates population genetics to improve causal inference. Given that genetics are randomly allocated at conception, this resembles the randomization process in randomized controlled trials and hence is more resistant to unobserved ...
Yeung SLA, Luo S, Iwagami M, Goto A.
europepmc   +3 more sources

Addressing the credibility crisis in Mendelian randomization

open access: yesBMC Medicine
Background 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
doaj   +4 more sources

Mendelian randomization

open access: yesNature 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
openaire   +4 more sources

COVID-19 is associated with the risk of cardiovascular disease death: A two-sample Mendelian randomization study

open access: yesFrontiers 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
doaj   +1 more source

Causal relationship between obesity and iron deficiency anemia: a two-sample Mendelian randomization study

open access: yesFrontiers 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
doaj   +1 more source

Understanding the Assumptions Underlying Mendelian Randomization [PDF]

open access: yesEuropean 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
openaire   +5 more sources

The next step in Mendelian randomization

open access: yeseLife, 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
openaire   +3 more sources

MendelianRandomization v0.5.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 2; peer review: 1 approved, 2 approved with reservations]

open access: yesWellcome 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
doaj   +1 more source

Pleiotropy-robust Mendelian randomization [PDF]

open access: yesInternational Journal of Epidemiology, 2016
AbstractBackgroundThe 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.
Hans van Kippersluis   +4 more
openaire   +4 more sources

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