Stroke and Vascular Neurology ()

Associations of polygenic risk scores with risks of stroke and its subtypes in Chinese

  • ,
  • Yu Guo,
  • Derrick Bennett,
  • Huaidong Du,
  • Liming Li,
  • Robert Clarke,
  • Zhengming Chen,
  • Junshi Chen,
  • Ruying Hu,
  • Kaixu Xie,
  • Min Yu,
  • Qiang Sun,
  • Jun Zhang,
  • Ling Yang,
  • Shuo Zhang,
  • Dianjianyi Sun,
  • Hao Wang,
  • Hua Zhang,
  • Lingli Chen,
  • Hao Zhang,
  • Liang Cheng,
  • Chao Liu,
  • Hui Zhang,
  • Fang Liu,
  • Xin Xu,
  • Wei Jiang,
  • Tao Wang,
  • Rory Collins,
  • Jun Lv,
  • Richard Peto,
  • Robin Walters,
  • Daniel Avery,
  • Ruth Boxall,
  • Yumei Chang,
  • Yiping Chen,
  • Simon Gilbert,
  • Alex Hacker,
  • Michael Holmes,
  • Christiana Kartsonaki,
  • Rene Kerosi,
  • Kuang Lin,
  • Iona Millwood,
  • Qunhua Nie,
  • Paul Ryder,
  • Sam Sansome,
  • Dan Schmidt,
  • Rajani Sohoni,
  • Becky Stevens,
  • Iain Turnbull,
  • Lin Wang,
  • Neil Wright,
  • Xiaoming Yang,
  • Xiao Han,
  • Can Hou,
  • Pei Pei,
  • Canqing Yu,
  • Zengchang Pang,
  • Ruqin Gao,
  • Shanpeng Li,
  • Shaojie Wang,
  • Yongmei Liu,
  • Ranran Du,
  • Yajing Zang,
  • Xiaocao Tian,
  • Yaoming Zhai,
  • Feng Ning,
  • Xiaohui Sun,
  • Silu Lv,
  • Junzheng Wang,
  • Yanjie Li,
  • Quan Kang,
  • Zhendong Guo,
  • Ming Wu,
  • Yonglin Zhou,
  • Jinyi Zhou,
  • Ran Tao,
  • Jie Yang,
  • Yihe Hu,
  • Yan Lu,
  • Liangcai Ma,
  • Aiyu Tang,
  • Jianrong Jin,
  • Liuping Wei,
  • Liyuan Zhou,
  • Yulu Qin,
  • Xianping Wu,
  • Ningmei Zhang,
  • Xiaofang Chen,
  • Jiaqiu Liu,
  • Xiaolan Ren,
  • Enke Mao,
  • Xiaoping Wang,
  • Shixian Feng,
  • Huarong Sun,
  • Pan He,
  • Xukui Zhang,
  • Zhongxi Fu,
  • Libo Zhang,
  • Jingchao Liu,
  • Andri Iona,
  • Paul Sherliker,
  • Wei Hou,
  • Xiangyang Zheng,
  • Yilei Li,
  • Huimei Li,
  • Yun Liu,
  • Ningyu Chen,
  • Caixia Dong,
  • Xi Zhang,
  • Lei Fan,
  • Donghui Jin,
  • Wei Sun,
  • Jian Su,
  • Mike Hill,
  • Feifei Li,
  • Shukuan Wu,
  • Jian Lan,
  • Sisi Wang,
  • Kai Kang,
  • Xiao Li,
  • Pang Yao,
  • Songchun Yang,
  • Shichun Yan,
  • Huilin Liu Li Yin,
  • Chi Wang,
  • Ka Hung Chan,
  • Lifang Zhou,
  • Xiaoyu Chang,
  • Mohsen Mazidi,
  • Mei Lin,
  • Yuanjie Pang,
  • Iona Y Millwood,
  • Xiaoming Cui,
  • Yuan Cao,
  • Xia Wu,
  • Pek Kei Im,
  • Xiaoyi Zhang,
  • Dong Sun,
  • Robin G Walters,
  • Zhijia Sun,
  • Sushila Burgess,
  • Sue Burgess,
  • Johnathan Clarke,
  • Ahmed Edris Mohamed,
  • Zammy Fairhurst-Hunter,
  • Hannah Fry,
  • Maria Kakkoura,
  • Sam Morris,
  • Alfred Pozarickij,
  • Saredo Said,
  • Qingmei Xia,
  • Haiping Duan,
  • Zhenyuan Wu,
  • Huiming Luo,
  • Tingting Ou,
  • Zhenzhen Lu,
  • Changping Xie,
  • Tingping Zhu,
  • Mingqiang Yuan,
  • Faqing Chen,
  • Huizi Tian,
  • Dun Shen,
  • Xiaojun Li,
  • Jianwei Chen,
  • Yuan Peng,
  • Chan Qu

DOI
https://doi.org/10.1136/svn-2023-002428

Abstract

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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.