Author

Andrew J. Grant

The University of SydneyORCID 0000-0001-6422-583XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Stephen BurgessiD· 2 shared Dipender GilliD· 1 shared Paul KirkiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersGenetics

Stephen BurgessORCID

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2 papers

Recent·Most cited

GeneticsThe American Journal of Human GeneticsPeer-reviewedJan 1, 2024

A Bayesian approach to Mendelian randomization using summary statistics in the univariable and multivariable settings with correlated pleiotropy

Andrew J. Grant, Stephen Burgess

This paper introduces Bayesian methods for Mendelian randomization using summary statistics to address correlated pleiotropy in both univariable and multivariable settings.

40 citationstop 1%

GWAS summary statisticsBayesian inference

𝕏 PostBluesky

GeneticsPLoS GeneticsPeer-reviewedJan 27, 2022

Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity

Andrew J. Grant, Dipender Gill, Paul Kirk, Stephen Burgess

The paper clusters genetic variants associated with body mass index to identify distinct biological mechanisms underlying obesity and its impact on coronary heart disease.

21 citations

humanGWAS summary statistics

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