Author

Bibo Jiang

Pennsylvania State UniversityORCID 0000-0001-8336-9302Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:fine-mapping· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:proteomics· 1

Frequent Co-Authors

Dajiang J. LiuiD· 2 shared Anita PanditiD· 1 shared Ayse Elif KesafiD· 1 shared Carolina Lopez-SilvaiD· 1 shared Chachrit KhunsriraksakuliD· 1 shared Daniel McGuireiD· 1 shared Dieyi Chen· 1 shared Fan ZhangiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Dajiang J. LiuORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

An Integrated Large-Scale Atlas of Protein Quantitative Trait Loci across Olink and SomaScan platforms

Chachrit Khunsriraksakul, Fan Zhang, Lida Wang, Siyuan Chen, Havell Markus, Dieyi Chen, Ganesh Shenoy, Carolina Lopez-Silva, Fayez J. Jabboure, Ayse Elif Kesaf, Xiaowei Zhan, Joanna Melia, Ken Y. Hui, Bibo Jiang, Dajiang J. Liu

The paper integrates proteomics data from Olink and SomaScan to identify pQTLs and develop a resource for transcriptome and proteome-wide association studies, with applications to inflammatory bowel disease.

medRxiv · Oct 6, 2025 · PreprintGenetic & Genomic Medicine

Proper Conditional Analysis in the Presence of Missing Data Identified Novel Independently Associated Low Frequency Variants in Nicotine Dependence Genes

Bibo Jiang, Sai Chen, Yu Jiang, Mengzhen Liu, William G. Iacono, John K. Hewitt, John E. Hokanson, Kenneth S. Krauter, Markku Laakso, Kevin W. Li, Sharon Marie Lutz, Matthew McGue, Daniel McGuire, Anita Pandit, Gregory J. M. Zajac, , Dajiang J. Liu

The paper develops a method to handle missing data in genetic meta-analysis, identifying novel low-frequency variants in nicotine dependence genes with improved accuracy.

bioRxiv · Nov 21, 2017 · PreprintGenetics