The MendelianRandomization R package was recently updated to version v0.2.2. There were some fixes in terms of p-values and confidence intervals (for example, previously p-values were based on a t-distribution regardless of the choice specified by the user). The package can be downloaded from A paper introducing the package can be found at

MR Catalogue (, a web-based tool for performing genetic look-ups in publicly-available data, was launched today. The tool takes genetic variants (either rsid or chromosome and position) as inputs, and outputs the associations of the variants (batch query is needed for multiple variants) with up to 200 different variables, including disease outcomes and continuous phenotypes. There is an option for a proxy search, so that if your specified variant is not available, the association of a correlated variant will be given. The default display is the top 10 associations (ranked by p-value); a download is needed to access all associations. Genetic associations (including proxies) have been orientated across datasets, so that the signs of all association estimates are consistent.

This tool enables Mendelian randomization to be performed quickly and easily using summarized data - beta-coefficients and standard errors - see, or for details on how to perform a basic Mendelian randomization analysis using summarized data, or (MR-Egger) (median-based method) for robust methods using summarized data.

Outside of Mendelian randomization, this is a useful tool for calculating proxies, or checking the association of variants with a wide range of variables (phenome scan). Even if you switch off the catalogue and the proxy search, it is a quick tool for converting chromosome/position (hg19) to rsid and vice versa, or for getting major/minor alleles. Hopefully will be a widely used tool!

I recently made software code for implementing Mendelian randomization analyses available as a GitHub-editable document. The motivation for this is that much of this code is scattered in the appendices of various manuscripts, and is hard to find, hard to edit (when you want to update), and the notation isn't always consistent.

Code can be found here, and the associated project is here. Please read through and get in touch if you spot any typos, or else edit yourself! The document currently contains mostly R code with some Stata code, but other software code would be welcome. This is a new initiative: feedback is very welcome.

In November 2015, we ran our first course on Mendelian randomization based on this book. This was a two-day course in Cambridge, UK, based at the MRC Biostatistics Unit. Details of the course are on the BSU website: The course was over-subscribed, and generally well received. We will run the course again in 2016; please let us know if you are interesting in attending the course in the future!

Website is currently under development and content is being added ready for the book launch, currently scheduled for February 2015. Please check this page again nearer the time!