Author

Peh Joo Ho

Agency for Science, Technology and ResearchORCID 0000-0002-3017-4023Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:variant effect prediction· 2 Approach:deep learning· 1 Research Focus:polygenic risk· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Jingmei LiiD· 3 shared Iain Bee Huat TaniD· 2 shared Mikael HartmaniD· 2 shared Rajkumar DorajooiD· 2 shared A. Heather EliasseniD· 1 shared ABCTB Investigators· 1 shared Alexis Jiaying KhngiD· 1 shared Alison M. DunningiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Jingmei LiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups

Hagai Levi, Qin Wang, Manjeet K. Bolla, Joe Dennis, Irene L. Andrulis, Natalia Antonenkova, Chun Hang Au, Annelie Augustinsson, Laura E. Beane Freeman, Sabine Behrens, Marina Bermisheva, Clara Bodelón, Natalia Viktorovna Bogdanova, Stig E. Bojesen, Hermann Brenner, , Kyriaki Michailidou

PRANA adapts polygenic risk scores to non-European populations, improving predictive accuracy by 5%-20% in South Asian, East Asian, and Ashkenazi Jewish populations.

medRxiv · Jul 15, 2026 · PreprintGenetic & Genomic Medicine

Polygenic Risk Scores Across Genomic Platforms for Reliable Breast Cancer Risk Stratification

Peh Joo Ho, Alexis Jiaying Khng, Joanna Hui Juan Tan, Pierre-Alexis Vincent Goy, Kayla Aisha Kamila, Zheng Li, Weang-Kee Ho, Iain Bee Huat Tan, Dawn Qingqing Chong, Elaine Ah‐Gi Lo, Liuh Ling Goh, Hwee Lin Wee, Mikael Hartman, Rajkumar Dorajoo, Nicolas Bertin, Jingmei Li

This paper evaluates differences in a breast cancer polygenic risk score across genomic platforms and finds that calibration improves consistency in high-risk classification.

bioRxiv · Apr 10, 2025 · PreprintGenetics

Polygenic risk scores for the prediction of common cancers in East Asians: A population-based prospective cohort study

Peh Joo Ho, Iain Beehuat Tan, Dawn Qingqing Chong, Chiea Chuen Khor, Jian‐Min Yuan, Woon‐Puay Koh, Rajkumar Dorajoo, Jingmei Li

This paper evaluates polygenic risk scores for predicting common cancers in East Asians using a large cohort, finding significant risk stratification for breast, prostate, and colorectal cancers.

eLife · Mar 27, 2023Peer-reviewedGenetic & Genomic Medicine