Author

Sijia Wu

Shandong UniversityORCID 0000-0002-9767-9966Unclaimed 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:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Organism:human· 1

Frequent Co-Authors

Fuzhong XueiD· 2 shared Hongkai LiiD· 2 shared Lei HouiD· 2 shared Zhongshang YuaniD· 2 shared Hao CheniD· 1 shared Lin HuangiD· 1 shared Xiaoru SuniD· 1 shared Yuanyuan YuiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Fuzhong XueORCID

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2 papers

Recent·Most cited

JointMR: A joint likelihood-based approach for causal effect estimation in overlapping Mendelian Randomization studies

Sijia Wu, Lei Hou, Zhongshang Yuan, Xiaoru Sun, Yuanyuan Yu, Hao Chen, Lin Huang, Fuzhong Xue, Hongkai Li

JointMR integrates GWAS summary databases to estimate causal effects, providing unbiased and reliable results with higher power and better Type I error control than traditional methods.

medRxiv · Dec 19, 2025 · PreprintGenetic & Genomic Medicine

TEMR: Trans-ethnic Mendelian Randomization Method using Large-scale GWAS Summary Datasets

Lei Hou, Sijia Wu, Zhongshang Yuan, Fuzhong Xue, Hongkai Li

TEMR improves causal effect estimation in non-European populations using trans-ethnic GWAS data, identifying 13 new causal relationships.

The American Journal of Human Genetics · Dec 16, 2024Peer-reviewedGenetic & Genomic Medicine