Mendelian-Randomization

Using Mendelian randomization to discover biological mechanisms

Almost exact Mendelian randomization

By combining causal graphs and randomization inference, a formal justification for Mendelian randomization is given in the context of with-family studies.

The randomization principle in causal inference: A modern look at some old ideas

Randomization is a fundamental principle in causal inference and was first proposed by R A Fisher about a century ago. Although randomization has now been universally adopted in the design of experiments, its role in the analysis of experiments and …

Almost exact Mendelian randomization

By combining causal graphs and randomization inference, a formal justification for Mendelian randomization is given in the context of with-family studies.

Mendelian randomization

Mendelian randomization (MR) is a term that applies to the use of genetic variation to address causal questions about how modifiable exposures influence different outcomes. The principles of MR are based on Mendel’s laws of inheritance and …

Leverage Mendelian Randomization to Learn Meaningful Representations (LMR×2)

Mendelian randomization: Old and new insights

Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern statistics and genetics a century ago, although the terminology was not …

Mendelian randomization: Old and new insights

Mendelian randomization (MR) is a method for causal inference that utilizes the natural experiment in genetic inheritance. The idea of MR can be traced back to the dawn of modern statistics and genetics a century ago, although the terminology was not …

A fun model to explain the surging popularity of Mendelian randomization

Ever wondered why Mendelian randomization is getting so popular?

Seeking a summer research intern (EXPIRED)

Seeking one student for a summer internship project on Mendelian randomization.