Impact Factor:4.4
DOI number:10.1136/svn-2023-002428
Journal:Stroke and Vascular Neurology
Key Words:Polygenic risk scores; Ischaemic stroke; Intracerebral haemorrhage; Subarachnoid haemorrhage; Risk prediction model
Abstract:Background and purpose: Previous studies, mostly focusing on the European population, have reported polygenic risk scores (PRSs) might achieve risk stratification of stroke. We aimed to examine the association strengths of PRSs with risks of stroke and its subtypes in the Chinese population. Methods: Participants with genome-wide genotypic data in China Kadoorie Biobank were split into a potential training set (n=22 191) and a population-based testing set (n=72 150). Four previously developed PRSs were included, and new PRSs for stroke and its subtypes were developed. The PRSs showing the strongest association with risks of stroke or its subtypes in the training set were further evaluated in the testing set. Cox proportional hazards regression models were used to estimate the association strengths of different PRSs with risks of stroke and its subtypes (ischaemic stroke (IS), intracerebral haemorrhage (ICH) and subarachnoid haemorrhage (SAH)). Results: In the testing set, during 872 919 person-years of follow-up, 8514 incident stroke events were documented. The PRSs of any stroke (AS) and IS were both positively associated with risks of AS, IS and ICH (p<0.05). The HR for per SD increment (HRSD) of PRSAS was 1.10 (95% CI 1.07 to 1.12), 1.10 (95% CI 1.07 to 1.12) and 1.13 (95% CI 1.07 to 1.20) for AS, IS and ICH, respectively. The corresponding HRSD of PRSIS was 1.08 (95% CI 1.06 to 1.11), 1.08 (95% CI 1.06 to 1.11) and 1.09 (95% CI 1.03 to 1.15). PRSICH was positively associated with the risk of ICH (HRSD=1.07, 95% CI 1.01 to 1.14). PRSSAH was not associated with risks of stroke and its subtypes. The addition of current PRSs offered little to no improvement in stroke risk prediction and risk stratification. Conclusions: In this Chinese population, the association strengths of current PRSs with risks of stroke and its subtypes were moderate, suggesting a limited value for improving risk prediction over traditional risk factors in the context of current genome-wide association study under-representing the East Asian population.
Co-author:Zhijia Sun, Dong Sun, Canqing Yu, Yu Guo, Dianjianyi Sun, Yuanjie Pang, Pei Pei, Ling Yang, Iona Y Millwood, Robin G Walters, Yiping Chen, Huaidong Du, Yan Lu, Sushila Burgess, Daniel Avery, Robert Clarke, Junshi Chen, Zhengming Chen, Liming Li, China Kadoorie Biobank Collaborative Group
First Author:Songchun Yang
Indexed by:Journal paper
Correspondence Author:Jun Lv
Document Code:PMID: 37640499
Discipline:Medicine
First-Level Discipline:Public Health and Preventive Medicine
Document Type:J
Volume:9
Issue:4
Page Number:399-406
ISSN No.:2059-8688
Translation or Not:no
Included Journals:SCI
Links to published journals:https://svn.bmj.com/content/9/4/399.long