[HTML][HTML] Orienting the causal relationship between imprecisely measured traits using GWAS summary data
Inference about the causal structure that induces correlations between two traits can be
achieved by combining genetic associations with a mediation-based approach, as is done in …
achieved by combining genetic associations with a mediation-based approach, as is done in …
Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics
Mendelian randomization (MR) is a valuable tool for detecting causal effects by using
genetic variant associations. Opportunities to apply MR are growing rapidly with the …
genetic variant associations. Opportunities to apply MR are growing rapidly with the …
Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome
A major application for genome-wide association studies (GWAS) has been the emerging
field of causal inference using Mendelian randomization (MR), where the causal effect …
field of causal inference using Mendelian randomization (MR), where the causal effect …
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 …
[HTML][HTML] Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments
Over a decade of genome-wide association studies (GWAS) have led to the finding of
extreme polygenicity of complex traits. The phenomenon that “all genes affect every complex …
extreme polygenicity of complex traits. The phenomenon that “all genes affect every complex …
[HTML][HTML] An evolutionary perspective on epistasis and the missing heritability
The relative importance between additive and non-additive genetic variance has been
widely argued in quantitative genetics. By approaching this question from an evolutionary …
widely argued in quantitative genetics. By approaching this question from an evolutionary …
Inferring causal relationships between risk factors and outcomes from genome-wide association study data
An observational correlation between a suspected risk factor and an outcome does not
necessarily imply that interventions on levels of the risk factor will have a causal impact on …
necessarily imply that interventions on levels of the risk factor will have a causal impact on …
Distinguishing genetic correlation from causation across 52 diseases and complex traits
LJ O'Connor, AL Price - Nature genetics, 2018 - nature.com
Mendelian randomization, a method to infer causal relationships, is confounded by genetic
correlations reflecting shared etiology. We developed a model in which a latent causal …
correlations reflecting shared etiology. We developed a model in which a latent causal …
[HTML][HTML] 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 …
Using genetic data to strengthen causal inference in observational research
Causal inference is essential across the biomedical, behavioural and social sciences. By
progressing from confounded statistical associations to evidence of causal relationships …
progressing from confounded statistical associations to evidence of causal relationships …