Results 21 to 30 of about 150,483 (315)

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   +3 more sources

Mendelian randomization studies do not support a role for raised circulating triglyceride levels influencing type 2 diabetes, glucose levels, or insulin resistance. [PDF]

open access: yes, 2011
OBJECTIVE: The causal nature of associations between circulating triglycerides, insulin resistance, and type 2 diabetes is unclear. We aimed to use Mendelian randomization to test the hypothesis that raised circulating triglyceride levels causally ...
Gaunt, TR   +89 more
core   +1 more source

Mendelian randomization depression exposure pain outcome.

open access: yes, 2023
Mendelian randomization depression exposure pain outcome.
James A. Perry (10515389)   +8 more
core   +1 more source

Schematic representation of multivariable Mendelian randomization analysis.

open access: yes, 2023
Schematic representation of multivariable Mendelian randomization analysis.
Jiting Zhang (7511933)   +3 more
core   +1 more source

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

Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke

open access: yesNature 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
doaj   +1 more source

Three key assumptions in Mendelian randomization study.

open access: yes, 2022
Three key assumptions in Mendelian randomization study.
Yan Zhang (8098)   +2 more
core   +1 more source

Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomization (STROBE-MR) checklist of recommended items to address in mendelian randomization (MR) studies.

open access: yes, 2023
Strengthening the Reporting of Observational Studies in Epidemiology using Mendelian Randomization (STROBE-MR) checklist of recommended items to address in mendelian randomization (MR) studies.
Maddalena Ardissino (9118004)   +5 more
core   +1 more source

Multivariable Mendelian Randomization and Mediation [PDF]

open access: yesCold Spring Harbor Perspectives in Medicine, 2020
Mendelian randomization (MR) is the use of genetic variants associated with an exposure to estimate the causal effect of that exposure on an outcome. Mediation analysis is the method of decomposing the effects of an exposure on an outcome, which act directly, and those that act via mediating variables.
openaire   +3 more sources

Relationship between NAFLD and coronary artery disease: A Mendelian randomization study

open access: yesHepatology, EarlyView., 2022
Abstract Background and Aims There is an ongoing debate on whether NAFLD is an active contributor or an innocent bystander in the pathogenesis of coronary artery disease (CAD). The aim of the present study was to assess the causal relationship between NAFLD and CAD.
Zhewen Ren   +4 more
wiley   +1 more source

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