Integrating Polygenic Scores and Family History for Type 2 Diabetes Prediction in an East Asian Population: Insights From the Taiwan Biobank
Type 2 diabetes is influenced by genetic and environmental factors. Although polygenic risk scores (PRS) and family history (FH) are established predictors, their combined utility in East Asian populations is unclear. We evaluated the predictive performance of PRS and the independent and joint effects of PRS and FH on diabetes risk in an East Asian population. The transancestry PRS explained more variance than ancestry-specific PRS and FH. PRS and FH were independently predictive, and their combination improved prediction, with stronger effects in men. Sibling history showed the strongest familial association. Integrating PRS and FH may enhance diabetes risk prediction in East Asian populations.
Authors
- Mei‐Chen Lin (ORCID: https://orcid.org/0000-0002-5233-3355)
- Wang Shi-heng
- Ya-Wen Chang
- W. F. Liao
- Chun-Wen Cheng
- Shih-Feng Tsai
- Chih-Cheng Hsu
- Chi-Fung Cheng
Institutions
- National Health Research Institutes (TW)
- China Medical University (TW)
- Chung Shan Medical University Hospital (TW)
- China Medical University Hospital (TW)
- Chung Shan Medical University (TW)
Publication Details
- Journal
- Diabetes
- Published
- 2025-12-30
- DOI
- https://doi.org/10.2337/db25-0357
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00