Evaluation of diverse polygenic risk score models for lung cancer in a small-scale Chinese cohort
Our findings emphasize the critical role of ancestry-matched data and integrative PRS approaches in enhancing risk prediction in underrepresented populations. PRS-CSx represents a promising tool for lung cancer risk assessment in East Asians, though further validation in larger cohorts are needed to improve generalizability and clinical utility.
Authors
- Yue Jiang (ORCID: https://orcid.org/0000-0002-6165-1777)
- Xiao Chang (ORCID: https://orcid.org/0000-0003-0560-2441)
- Qiwen Zheng (ORCID: https://orcid.org/0000-0001-6921-6254)
- Min Gao (ORCID: https://orcid.org/0000-0002-3269-5746)
- Xin Zheng (ORCID: https://orcid.org/0000-0002-7096-3916)
Institutions
- Qingdao University (CN)
- Shandong University of Traditional Chinese Medicine (CN)
- Chinese Academy of Sciences (CN)
- Beijing Institute of Genomics (CN)
- Yuhuangding Hospital (CN)
- National Center for Mathematics and Interdisciplinary Sciences (CN)
- Shandong Tumor Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
- Shanghai Center For Bioinformation Technology (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-07-16
- DOI
- https://doi.org/10.3389/fgene.2025.1646997
- Citations
- 2
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- National Natural Science Foundation of China