A collection of submitted material for the 2019 MR Data Challenge.
The 2019 MR Data Challenge was a session at the 2019 Mendelian Randomization Conference, held at the University of Bristol.
The data for the MR Data Challenge can be found here.
The submitted entries were are listed below. They can be viewed by clicking the relevant links above.
- The role of lipoprotein subfractions in coronary artery disease. Qingyuan Zhao, Jingshu Wang, Zhen Miao, Nancy Zhang, Sean Hennessy, Dylan Small, and Dan Rader
- Testing instrument strength in two-sample MVMR estimation of lipid traits on AMD and Type 2 diabetes. Eleanor Sanderson and Jack Bowden
- Mendelian Randomization Analysis of the Effect of Blood Lipid Fractions on the Risk of Type 2 Diabetes. Apostolos Gkatzionis
- HDL and age-related macular degeneration. Chin Yang Shapland
- Improving reliability of MR studies testing the effect of molecular phenotypes. Maria Carolina Borges, Philip Haycock, Aroon Hingorani, and Deborah Lawlor
- Investigating the Causal Effect of LDL and HDL on Ischemic Stroke. Okezie Uche-Ikonne, Michael Holmes, Frank Dondelinger, and Tom Palmer
- Examining heterogeneity in effect estimates of HDL-C upon CAD and potential biological mechanisms. Daniel Long and Qingyuan Zhao