Robust multivariable Mendelian randomization based on constrained maximum likelihood
Mendelian randomization (MR) is a powerful tool for causal inference with observational
genome-wide association study (GWAS) summary data. Compared to the more commonly …
genome-wide association study (GWAS) summary data. Compared to the more commonly …
Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects
With the increasing availability of large-scale GWAS summary data on various complex traits
and diseases, there have been tremendous interests in applications of Mendelian …
and diseases, there have been tremendous interests in applications of Mendelian …
Bayesian weighted Mendelian randomization for causal inference based on summary statistics
Abstract Motivation The results from Genome-Wide Association Studies (GWAS) on
thousands of phenotypes provide an unprecedented opportunity to infer the causal effect of …
thousands of phenotypes provide an unprecedented opportunity to infer the causal effect of …
Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics
Mendelian Randomisation (MR) is an increasingly popular approach that estimates the
causal effect of risk factors on complex human traits. While it has seen several extensions …
causal effect of risk factors on complex human traits. While it has seen several extensions …
Bias correction for inverse variance weighting Mendelian randomization
Inverse‐variance weighted two‐sample Mendelian randomization (IVW‐MR) is the most
widely used approach that utilizes genome‐wide association studies (GWAS) summary …
widely used approach that utilizes genome‐wide association studies (GWAS) summary …
Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics
Mendelian randomization (MR) is a valuable tool for inferring causal relationships among a
wide range of traits using summary statistics from genome-wide association studies …
wide range of traits using summary statistics from genome-wide association studies …
Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
FP Hartwig, G Davey Smith… - International journal of …, 2017 - academic.oup.com
Background Mendelian randomization (MR) is being increasingly used to strengthen causal
inference in observational studies. Availability of summary data of genetic associations for a …
inference in observational studies. Availability of summary data of genetic associations for a …
Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model
With the increasing availability of large-scale GWAS summary data on various traits,
Mendelian randomization (MR) has become commonly used to infer causality between a …
Mendelian randomization (MR) has become commonly used to infer causality between a …
Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
G Qi, N Chatterjee - Nature communications, 2019 - nature.com
Mendelian randomization (MR) has emerged as a major tool for the investigation of causal
relationship among traits, utilizing results from large-scale genome-wide association studies …
relationship among traits, utilizing results from large-scale genome-wide association studies …
Mendelian randomization
Confounding and reverse causality have prevented us from drawing meaningful clinical
interpretation even in well-powered observational studies. Confounding may be attributed to …
interpretation even in well-powered observational studies. Confounding may be attributed to …