Geyu Zhou
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
Publications
50
Citations
1,689
Est. group size
—
Recurring co-author estimate
Active years
12
Publishing since 2015
Geyu Zhou develops statistical and computational methods for predicting disease risk and traits from genetic data, with a particular focus on 'polygenic risk scores' (numeric summaries of many small genetic effects combined into one risk estimate). Much of this work addresses how to make these predictions work better across different ancestry groups, admixed populations, and for multiple related traits or diseases at once. This research is relevant to students interested in statistical genetics, genomics data analysis, and methods for translating large genetic datasets into clinically useful risk predictions.
Publication output has grown substantially over the last decade, rising from about 1-5 papers per year before 2023 to 9-10 in 2025 and 2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Joint modeling of effect sizes for two correlated traits: Characterizing trait properties to enhance polygenic risk prediction
PLoS Genetics · 2026
- Leveraging pleiotropy to improve genetic risk prediction across diseases
Genetics in Medicine · 2026
- MIXPRS+ polygenic score files for BMI and CAD
Zenodo (CERN European Organization for Nuclear Research) · 2026
- MIXPRS+ polygenic score files for BMI and CAD
Zenodo (CERN European Organization for Nuclear Research) · 2026
- MIXPRS enables multi-population and multi-method polygenic risk scores using summary statistics
Nature Genetics · 2026
- Protocol for leveraging local ancestry and cross-ancestry genetic architecture to improve polygenic prediction in admixed populations
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Protocol for leveraging local ancestry and cross-ancestry genetic architecture to improve polygenic prediction in admixed populations
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation
Nature Communications · 2025
- Leveraging local ancestry and cross-ancestry genetic architecture to improve genetic prediction of complex traits in admixed populations
The American Journal of Human Genetics · 2025
- A Bayesian approach to correcting the attenuation bias of regression using polygenic risk score
Genetics · 2025
- The left amygdala is genetically sexually-dimorphic: multi-omics analysis of structural MRI volumes
Translational Psychiatry · 2025
- Joint Modeling of Effect Sizes for Two Correlated Traits: Characterizing Trait Properties to Enhance Polygenic Risk Prediction
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Leveraging pleiotropy to improve genetic risk prediction across diseases
medRxiv · 2025
- Almost Free Enhancement of Multi-Population PRS: From Data-Fission to Pseudo-GWAS Subsampling
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Incorporating local ancestry information to predict genetically associated DNA methylation in admixed populations
Briefings in Bioinformatics · 2025
- bioRxiv (Cold Spring Harbor Laboratory)×8
- Zenodo (CERN European Organization for Nuclear Research)×4
- PLoS Genetics×3
- Genetics in Medicine×2
- Nature Communications×2
- Nianjun Liu
Biochemistry, Genetics and Molecular Biology · Indiana University
- Shili Lin
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Robbee Wedow
Biochemistry, Genetics and Molecular Biology · Indiana University
- Veronica J. Vieland
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Asuman Turkmen
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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