Haoyu Zhang

Oct 26, 2024 | mdpi.com | Xuemei Zhang |Haoyu Zhang |Mingyue Huang |Yu Mei

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Sep 12, 2024 | biorxiv.org | Leqi Xu |Geyu Zhou |Wei Jiang |Haoyu Zhang

AbstractGenetic prediction accuracy for non-European populations is hindered by the limited sample size of Genome-wide association studies (GWAS) data in these populations. Additionally, it is challenging to tune model parameters with a small tuning dataset for methods that require tuning data, which is often the case for non-European samples.

Apr 14, 2024 | nature.com | Jingning Zhang |Jin Jin |Haoyu Zhang

AbstractGreat efforts are being made to develop advanced polygenic risk scores (PRS) to improve the prediction of complex traits and diseases. However, most existing PRS are primarily trained on European ancestry populations, limiting their transferability to non-European populations. In this article, we propose a novel method for generating multi-ancestry Polygenic Risk scOres based on enSemble of PEnalized Regression models (PROSPER).

Sep 25, 2023 | nature.com | Haoyu Zhang |Jingning Zhang |Thomas Ahearn |Zhi Yu |TONY CHEN |Montserrat Garcia-Closas | +1 more

AbstractPolygenic risk scores (PRSs) increasingly predict complex traits; however, suboptimal performance in non-European populations raise concerns about clinical applications and health inequities. We developed CT-SLEB, a powerful and scalable method to calculate PRSs, using ancestry-specific genome-wide association study summary statistics from multiancestry training samples, integrating clumping and thresholding, empirical Bayes and superlearning.

Jul 13, 2023 | academicradiology.org | Bofeng Bai |Shanshan Huang |Cong Ning |Yannan Wang |Wei Lei |Xiaoyi Xi | +5 more

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