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Selecting causal risk factors from high-throughput experiments using multivariable Mendelian randomization
View ORCID ProfileVerena Zuber, Johanna Maria Colijn, Caroline Klaver, View ORCID ProfileStephen Burgess
doi: https://doi.org/10.1101/396333
Verena Zuber
1MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, UK
2Department of Epidemiology and Biostatistics, Imperial College London, UK
Johanna Maria Colijn
3Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
4Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands
Caroline Klaver
3Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
4Department of Ophthalmology, Erasmus University Medical Center, Rotterdam, The Netherlands
5Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
Stephen Burgess
1MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, UK
6MRC/BHF Cardiovascular Epidemiology Unit, School of Clinical Medicine, University of Cambridge, UK
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Posted May 21, 2019.
Selecting causal risk factors from high-throughput experiments using multivariable Mendelian randomization
Verena Zuber, Johanna Maria Colijn, Caroline Klaver, Stephen Burgess
bioRxiv 396333; doi: https://doi.org/10.1101/396333
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