Article

A framework for detecting causal effects of risk factors at an individual level based on principles of Mendelian randomization: Applications to modelling individualized effects of lipids on coronary artery disease

2024-01-20

Abstract excerpt

Mendelian Randomization (MR), a method that employs genetic variants as instruments for causal inference, has gained popularity in assessing the causal effects of risk factors. However, almost all MR studies primarily concentrate on the population’s average causal effects. With the advent of precision medicine, the individualized treatment effect (ITE) is often of greater interest. For instance, certain risk facto...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e06f4cff-df1e-57e9-a87f-77d38f09c34c
DOI: 10.1101/2024.01.18.24301507

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A framework for detecting causal effects of risk factors at an individual level based on principles of Mendelian randomization: Applications to modelling individualized effects of lipids on coronary artery diseaseDOI 10.1101/2024.01.18.24301507Read

Efficient Mendelian randomization analysis with self-adaptive determination of sample structure and multiple pleiotropic effects.Semantic proximity Read

Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.Semantic proximity Read

Causal inference for heritable phenotypic risk factors using heterogeneous genetic instrumentsSemantic proximity Read

Mendelian randomization for cardiovascular diseases: principles and applicationsSemantic proximity Read

In-depth Mendelian randomization analysis of causal factors for coronary artery disease.Semantic proximity Read

Mendelian randomization in (epi)genetic epidemiology: an effective tool to be handled with care.Semantic proximity Read

Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.Semantic proximity Read

Bayesian variable selection with a pleiotropic loss function in Mendelian randomizationSemantic proximity Read

Mendelian randomization to assess causal effects of blood lipids on coronary heart disease: lessons from the past and applications to the future.Semantic proximity Read

Bayesian variable selection with a pleiotropic loss function in Mendelian randomization.Semantic proximity Read

Distinguishing genetic correlation from causation across 52 diseases and complex traitsSemantic proximity Read

Mendelian Randomization Studies in Atherosclerotic Cardiovascular DiseasesSemantic proximity Read