On the use of kernel machines for Mendelian randomization
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Summary
The results show that LSKM based on genotype score or genotype can be used effectively in TSLS and may provide higher power when the association between exposure and genetic IVs is nonlinear.
- Type
- article
- Published
- 2017-11-20
- Cited by
- 10
- References
- 28
- Access
- Open access
- OpenAlex
- https://openalex.org/W2769430900
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:35948913
Keywords
Mendelian randomization, Instrumental variable, Confounding, Estimator, Causal inference
References
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- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
- Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies.
- Nonparametric methods for inference in the presence of instrumental variables
- Regularization Methods for High-Dimensional Instrumental Variables Regression With an Application to Genetical Genomics
- Estimating exposure effects by modelling the expectation of exposure conditional on confounders.
- Sequence kernel association tests for the combined effect of rare and common variants.
- An instrumental least squares support vector machine for nonlinear system identification
- Optimal tests for rare variant effects in sequencing association studies.
- Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease.
- General framework for meta-analysis of rare variants in sequencing association studies.
- Constructing a Control Group Using Multivariate Matched Sampling Methods That Incorporate the Propensity Score
- Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models
- Folate and DNA methylation: a review of molecular mechanisms and the evidence for folate's role.
- The central role of the propensity score in observational studies for causal effects
Cited by
- A general approach to sensitivity analysis for Mendelian randomization
- Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data
- Nonlinear Estimation Methods for Mendelian Randomization in Genetic Studies
- Instrumental Variable Model Average With Applications in Nonlinear Causal Inference
- Gut microbiotas, inflammatory factors, and mental-behavioral disorders: A mendelian randomization study.
- Causal Effects of Artificially Sweetened Foods on Chronic Pain Mediated by Gut Microbiota: A Mendelian Randomization Study
- MACFIV: a novel framework for nonlinear causal inference in the body mass index–hypertension relationship with many weak and pleiotropic genetic instruments
- Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression
- Inference of nonlinear causal effects with GWAS summary data
- Inference of nonlinear causal effects with application to TWAS with GWAS summary data
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