Evidence map›Paper›PMID 42824742›Full record

ArticleGenetics in medicine open2026

Population-specific optimization of polygenic risk scores for breast cancer in East Asians.

Shu-Hsuan Liu, Yu-Chun Wang, Yun-Jer Shieh, Hai-Feng Tan, Kuo-Jang Kao, Chih-Chiang Hung, Ming-Feng Hou, Chi-Cheng Huang, Ching-Hung Lin, An-Chieh Feng and 6 more

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Article in Genetics in medicine open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Shu-Hsuan LiuDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Yu-Chun WangGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Yun-Jer ShiehInstitute of Public Health, National Yang-Ming Chiao-Tung University, Taipei, Taiwan.
Hai-Feng TanGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
Kuo-Jang KaoDepartments of Research and Molecular Medicine, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan.
Chih-Chiang HungDivision of Breast Surgery, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan.
Ming-Feng HouDivision of Breast Oncology and Surgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
Chi-Cheng HuangComprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan.
Ching-Hung LinDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
An-Chieh FengDivision of General Surgery, Department of Surgery, Tri-Services General Hospital, National Defense Medical Center, Taipei, Taiwan.
Jeng-Fong ChiouDepartment of Radiation Oncology, Taipei Medical University Hospital, Taipei, Taiwan.
Chien-Hsiun ChenInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Ling-Hui LiInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Taipei Medical University Hospital Consortium
Tzu-Hung HsiaoDepartment of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Yu-Hsuan Joni ShaoGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Polygenic risk scores (PRS) have shown promise in predicting disease susceptibility, but their accuracy varies across populations due to the limited representation of non-European ancestries in genomic studies. While European-derived PRS demonstrate some transferability to Asian populations, optimizing these scores for specific populations remains crucial for improving risk prediction. Methods: Using data from the Taiwan Precision Medicine Initiative ( Results: The optimized PRS (PRS Conclusion: Our study presents a practical approach for optimizing European-derived PRS in non-European populations, which is particularly beneficial for populations with limited genetic data. As genetic data collection expands in these populations, this approach may help reduce health care disparities in the implementation of precision medicine.

Indexed as

Asian ancestryBreast cancerPolygenic risk scorePopulation transferability

Identifiers

PMID42824742
PMCPMC13627947

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.