Author

Yangqing Deng

University Health NetworkORCID 0000-0001-6218-3437Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Chris J. O’CallaghaniD· 1 shared Dongsheng TuiD· 1 shared Geoffrey LiuiD· 1 shared Wei PaniD· 1 shared Wei XuiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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1 shared paperGenetics

Chris J. O’CallaghanORCID

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2 papers

Recent·Most cited

GeneticsStatistical Methods in Medical ResearchPeer-reviewedJun 20, 2023

Two-Stage Multivariate Mendelian Randomization on Multiple Outcomes with Mixed Distributions

Yangqing Deng, Dongsheng Tu, Chris J. O’Callaghan…·Wei Xu

The paper introduces a two-stage multivariate Mendelian Randomization method to analyze mixed distributed outcomes with instrumental variables, showing improved statistical power in simulations and a clinical trial.

18 citations

GWAS summary statisticsstatistical model

𝕏 PostBluesky

GeneticsPLoS Computational BiologyPeer-reviewedAug 2, 2021

Model Checking via Testing for Direct Effects in Mendelian Randomization and Transcriptome-wide Association Studies

Yangqing Deng, Wei Pan

The paper introduces a new goodness-of-fit test, TEDE, to check model assumptions in Mendelian randomization and transcriptome-wide association studies, demonstrating its higher statistical power compared to existing methods.

6 citations

GWAS summary statisticsstatistical model

𝕏 PostBluesky