Author

Johanna Maria Colijn

Erasmus MCORCID 0000-0002-8324-7898Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:Bayesian inference· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

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Caroline C. W. KlaveriD· 1 shared Stephen BurgessiD· 1 shared Verena ZuberiD· 1 shared

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1 shared paperGenetics

Caroline C. W. KlaverORCID

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1 paper

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GeneticsNature CommunicationsPeer-reviewedJan 7, 2020

Selecting causal risk factors from high-throughput experiments using multivariable Mendelian randomization

Verena Zuber, Johanna Maria Colijn, Caroline C. W. Klaver, Stephen Burgess

This paper introduces MR-BMA, a Bayesian model averaging approach for multivariable Mendelian randomization, to identify causal risk factors from high-throughput data.

238 citationstop 1%

GWAS summary statisticsBayesian inference