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Haoyu Zhang

Earl Stadman Tenure-Track Investigators

National Institutes of Health

United States

Research Interests

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Professors in United States Professors in Biostatistics Biostatistics professors in United States

Articles (11)

Year:

2026

Year:

2026

Year:

2026

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2026

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2026

Year:

2025

Year:

2025

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2024

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2024

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2024

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2023

Collaborators (15)

Katherine Nathanson

Professor

University of Pennsylvania

UNITED STATES

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Jacob Williams

National Cancer Institute

UNITED STATES

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Wei Jiang

Assistant Professor

The University of Texas at Arlington

UNITED STATES

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Jubao Duan

University of Chicago

UNITED STATES

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Mitchell Machiela

Senior Investigator

National Cancer Institute

UNITED STATES

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Peter Kraft

Professor

Harvard T.H. Chan School of Public Health

UNITED STATES

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Xihao Li

Assistant Professor

University of North Carolina at Chapel Hill

UNITED STATES

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Ran Tao

Associate Professor

Vanderbilt University Medical Center

UNITED STATES

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Xiaohong Yang

National Cancer Institute

UNITED STATES

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GUOCHONG JIA

Vanderbilt University

UNITED STATES

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Zhi Yu

Broad Institute

UNITED STATES

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Jin Jin

Assistant Professor of Biostatistics

University of Pennsylvania

UNITED STATES

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David Conti

Professor

Colorado School of Public Health

UNITED STATES

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Thomas Ahearn

Staff Scientist

National Cancer Institute

UNITED STATES

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Xihong Lin

Professor

Harvard University

UNITED STATES

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Haoyu Zhang

Research Interests

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Articles (11)

Improved polygenic risk prediction models for breast cancer subtypes in women of African ancestry

Integrating common and rare variants improves polygenic risk prediction across diverse populations

Identification of immune cell type–specific susceptibility genes in multiple cancers using transcriptome-wide association studies

MetaSTAARlite: an all-in-one tool for biobank-scale whole-genome sequencing meta-analysis

SPLENDID incorporates continuous genetic ancestry in biobank-scale data to improve polygenic risk prediction across diverse populations

Evaluating multi-ancestry genome-wide association methods: Statistical power, population structure, and practical implications

JointPRS: A data-adaptive framework for multi-population genetic risk prediction incorporating genetic correlation

An ensemble penalized regression method for multi-ancestry polygenic risk prediction.

Fast and scalable ensemble learning method for versatile polygenic risk prediction

A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations

A new method for multiancestry polygenic prediction improves performance across diverse populations

Collaborators (15)

Katherine Nathanson

Jacob Williams

Wei Jiang

Jubao Duan

Mitchell Machiela

Peter Kraft

Xihao Li

Ran Tao

Xiaohong Yang

GUOCHONG JIA

Zhi Yu

Jin Jin

David Conti

Thomas Ahearn

Xihong Lin

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