[HTML][HTML] Associations of Circulating Biomarkers with Disease Risks: a Two-Sample Mendelian Randomization Study
Circulating biomarkers play a pivotal role in personalized medicine, offering potential for
disease screening, prevention, and treatment. Despite established associations between …
disease screening, prevention, and treatment. Despite established associations between …
Widespread pleiotropy confounds causal relationships between complex traits and diseases inferred from Mendelian randomization
M Verbanck, CY Chen, B Neale, R Do - bioRxiv, 2017 - biorxiv.org
A fundamental assumption in inferring causality of an exposure on complex disease using
Mendelian randomization (MR) is that the genetic variant used as the instrumental variable …
Mendelian randomization (MR) is that the genetic variant used as the instrumental variable …
Polynomial Mendelian randomization reveals widespread non-linear causal effects in the UK biobank
Causal inference is a critical step in improving our understanding of biological processes
and Mendelian randomisation (MR) has emerged as one of the foremost methods to …
and Mendelian randomisation (MR) has emerged as one of the foremost methods to …
Polynomial Mendelian randomization reveals non-linear causal effects for obesity-related traits
Causal inference is a critical step in improving our understanding of biological processes,
and Mendelian randomization (MR) has emerged as one of the foremost methods to …
and Mendelian randomization (MR) has emerged as one of the foremost methods to …
Mendelian randomization analysis using mixture models (MRMix) for genetic effect-size-distribution leads to robust estimation of causal effects
G Qi, N Chatterjee - bioRxiv, 2018 - biorxiv.org
We propose a novel method for robust estimation of causal effects in two-sample Mendelian
randomization analysis using potentially large number of genetic instruments. We consider a …
randomization analysis using potentially large number of genetic instruments. We consider a …
Mendelian randomization: new applications in the coming age of hypothesis-free causality
DM Evans, G Davey Smith - Annual review of genomics and …, 2015 - annualreviews.org
Mendelian randomization (MR) is an approach that uses genetic variants associated with a
modifiable exposure or biological intermediate to estimate the causal relationship between …
modifiable exposure or biological intermediate to estimate the causal relationship between …
From Genomics Data to Causality: An Integrated Pipeline for Mendelian Randomization
Background: Mendelian randomization (MR) has emerged as a valuable tool for causal
inference in genetic epidemiology. Existing MR methods have issues related to pleiotropy …
inference in genetic epidemiology. Existing MR methods have issues related to pleiotropy …
Mendelian randomization and pleiotropy analysis
X Zhu - Quantitative Biology, 2021 - Wiley Online Library
Background Mendelian randomization (MR) analysis has become popular in inferring and
estimating the causality of an exposure on an outcome due to the success of genome wide …
estimating the causality of an exposure on an outcome due to the success of genome wide …
An Introduction to Causal Inference Methods with Multi-omics Data
Omics biomarkers play a pivotal role in personalized medicine by providing molecular-level
insights into the etiology of diseases, guiding precise diagnostics, and facilitating targeted …
insights into the etiology of diseases, guiding precise diagnostics, and facilitating targeted …
Robust Mendelian Randomization Analysis by Automatically Selecting Valid Genetic Instruments for Inferring Causal Relationships between Complex Traits and …
Mendelian randomization (MR) is a causal inference method that uses genetic variants as
instrumental variables (IVs) to estimate the causal effect of a modifiable exposure on the …
instrumental variables (IVs) to estimate the causal effect of a modifiable exposure on the …