Associations of polygenic risk scores with risks of stroke and its subtypes in Chinese
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
|---|---|
| Enthalten in: |
Stroke and vascular neurology - (2023) vom: 28. Aug. |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Yang, Songchun [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 09.09.2023 published: Print-Electronic Citation Status Publisher |
|---|
| doi: |
10.1136/svn-2023-002428 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM361385226 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM361385226 | ||
| 003 | DE-627 | ||
| 005 | 20231226085027.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1136/svn-2023-002428 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1204.xml |
| 035 | |a (DE-627)NLM361385226 | ||
| 035 | |a (NLM)37640499 | ||
| 035 | |a (PII)svn-2023-002428 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Yang, Songchun |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Associations of polygenic risk scores with risks of stroke and its subtypes in Chinese |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 09.09.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. | ||
| 520 | |a 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 | ||
| 520 | |a 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)) | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Genetics | |
| 650 | 4 | |a Prospective Studies | |
| 650 | 4 | |a Stroke | |
| 700 | 1 | |a Sun, Zhijia |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Dong |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Canqing |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Yu |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Dianjianyi |e verfasserin |4 aut | |
| 700 | 1 | |a Pang, Yuanjie |e verfasserin |4 aut | |
| 700 | 1 | |a Pei, Pei |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Ling |e verfasserin |4 aut | |
| 700 | 1 | |a Millwood, Iona Y |e verfasserin |4 aut | |
| 700 | 1 | |a Walters, Robin G |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Yiping |e verfasserin |4 aut | |
| 700 | 1 | |a Du, Huaidong |e verfasserin |4 aut | |
| 700 | 1 | |a Lu, Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Burgess, Sushila |e verfasserin |4 aut | |
| 700 | 1 | |a Avery, Daniel |e verfasserin |4 aut | |
| 700 | 1 | |a Clarke, Robert |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Junshi |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Zhengming |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Liming |e verfasserin |4 aut | |
| 700 | 1 | |a Lv, Jun |e verfasserin |4 aut | |
| 700 | 0 | |a China Kadoorie Biobank Collaborative Group |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Junshi |e investigator |4 oth | |
| 700 | 1 | |a Chen, Zhengming |e investigator |4 oth | |
| 700 | 1 | |a Clarke, Robert |e investigator |4 oth | |
| 700 | 1 | |a Collins, Rory |e investigator |4 oth | |
| 700 | 1 | |a Guo, Yu |e investigator |4 oth | |
| 700 | 1 | |a Li, Liming |e investigator |4 oth | |
| 700 | 1 | |a Lv, Jun |e investigator |4 oth | |
| 700 | 1 | |a Peto, Richard |e investigator |4 oth | |
| 700 | 1 | |a Walters, Robin |e investigator |4 oth | |
| 700 | 1 | |a Avery, Daniel |e investigator |4 oth | |
| 700 | 1 | |a Bennett, Derrick |e investigator |4 oth | |
| 700 | 1 | |a Boxall, Ruth |e investigator |4 oth | |
| 700 | 1 | |a Burgess, Sue |e investigator |4 oth | |
| 700 | 1 | |a Chan, Ka Hung |e investigator |4 oth | |
| 700 | 1 | |a Chang, Yumei |e investigator |4 oth | |
| 700 | 1 | |a Chen, Yiping |e investigator |4 oth | |
| 700 | 1 | |a Chen, Zhengming |e investigator |4 oth | |
| 700 | 1 | |a Clarke, Johnathan |e investigator |4 oth | |
| 700 | 1 | |a Clarke, Robert |e investigator |4 oth | |
| 700 | 1 | |a Du, Huaidong |e investigator |4 oth | |
| 700 | 1 | |a Mohamed, Ahmed Edris |e investigator |4 oth | |
| 700 | 1 | |a Fairhurst-Hunter, Zammy |e investigator |4 oth | |
| 700 | 1 | |a Fry, Hannah |e investigator |4 oth | |
| 700 | 1 | |a Gilbert, Simon |e investigator |4 oth | |
| 700 | 1 | |a Hacker, Alex |e investigator |4 oth | |
| 700 | 1 | |a Hill, Mike |e investigator |4 oth | |
| 700 | 1 | |a Holmes, Michael |e investigator |4 oth | |
| 700 | 1 | |a Im, Pek Kei |e investigator |4 oth | |
| 700 | 1 | |a Iona, Andri |e investigator |4 oth | |
| 700 | 1 | |a Kakkoura, Maria |e investigator |4 oth | |
| 700 | 1 | |a Kartsonaki, Christiana |e investigator |4 oth | |
| 700 | 1 | |a Kerosi, Rene |e investigator |4 oth | |
| 700 | 1 | |a Lin, Kuang |e investigator |4 oth | |
| 700 | 1 | |a Mazidi, Mohsen |e investigator |4 oth | |
| 700 | 1 | |a Millwood, Iona |e investigator |4 oth | |
| 700 | 1 | |a Morris, Sam |e investigator |4 oth | |
| 700 | 1 | |a Nie, Qunhua |e investigator |4 oth | |
| 700 | 1 | |a Pozarickij, Alfred |e investigator |4 oth | |
| 700 | 1 | |a Ryder, Paul |e investigator |4 oth | |
| 700 | 1 | |a Said, Saredo |e investigator |4 oth | |
| 700 | 1 | |a Sansome, Sam |e investigator |4 oth | |
| 700 | 1 | |a Schmidt, Dan |e investigator |4 oth | |
| 700 | 1 | |a Sherliker, Paul |e investigator |4 oth | |
| 700 | 1 | |a Sohoni, Rajani |e investigator |4 oth | |
| 700 | 1 | |a Stevens, Becky |e investigator |4 oth | |
| 700 | 1 | |a Turnbull, Iain |e investigator |4 oth | |
| 700 | 1 | |a Walters, Robin |e investigator |4 oth | |
| 700 | 1 | |a Wang, Lin |e investigator |4 oth | |
| 700 | 1 | |a Wright, Neil |e investigator |4 oth | |
| 700 | 1 | |a Yang, Ling |e investigator |4 oth | |
| 700 | 1 | |a Yang, Xiaoming |e investigator |4 oth | |
| 700 | 1 | |a Yao, Pang |e investigator |4 oth | |
| 700 | 1 | |a Guo, Yu |e investigator |4 oth | |
| 700 | 1 | |a Han, Xiao |e investigator |4 oth | |
| 700 | 1 | |a Hou, Can |e investigator |4 oth | |
| 700 | 1 | |a Lv, Jun |e investigator |4 oth | |
| 700 | 1 | |a Pei, Pei |e investigator |4 oth | |
| 700 | 1 | |a Liu, Chao |e investigator |4 oth | |
| 700 | 1 | |a Yu, Canqing |e investigator |4 oth | |
| 700 | 1 | |a Xia, Qingmei |e investigator |4 oth | |
| 700 | 1 | |a Pang, Zengchang |e investigator |4 oth | |
| 700 | 1 | |a Gao, Ruqin |e investigator |4 oth | |
| 700 | 1 | |a Li, Shanpeng |e investigator |4 oth | |
| 700 | 1 | |a Duan, Haiping |e investigator |4 oth | |
| 700 | 1 | |a Wang, Shaojie |e investigator |4 oth | |
| 700 | 1 | |a Liu, Yongmei |e investigator |4 oth | |
| 700 | 1 | |a Du, Ranran |e investigator |4 oth | |
| 700 | 1 | |a Zang, Yajing |e investigator |4 oth | |
| 700 | 1 | |a Cheng, Liang |e investigator |4 oth | |
| 700 | 1 | |a Tian, Xiaocao |e investigator |4 oth | |
| 700 | 1 | |a Zhang, Hua |e investigator |4 oth | |
| 700 | 1 | |a Zhai, Yaoming |e investigator |4 oth | |
| 700 | 1 | |a Ning, Feng |e investigator |4 oth | |
| 700 | 1 | |a Sun, Xiaohui |e investigator |4 oth | |
| 700 | 1 | |a Li, Feifei |e investigator |4 oth | |
| 700 | 1 | |a Lv, Silu |e investigator |4 oth | |
| 700 | 1 | |a Wang, Junzheng |e investigator |4 oth | |
| 700 | 1 | |a Hou, Wei |e investigator |4 oth | |
| 700 | 1 | |a Sun, Wei |e investigator |4 oth | |
| 700 | 1 | |a Yan, Shichun |e investigator |4 oth | |
| 700 | 1 | |a Cui, Xiaoming |e investigator |4 oth | |
| 700 | 1 | |a Wang, Chi |e investigator |4 oth | |
| 700 | 1 | |a Wu, Zhenyuan |e investigator |4 oth | |
| 700 | 1 | |a Li, Yanjie |e investigator |4 oth | |
| 700 | 1 | |a Kang, Quan |e investigator |4 oth | |
| 700 | 1 | |a Luo, Huiming |e investigator |4 oth | |
| 700 | 1 | |a Ou, Tingting |e investigator |4 oth | |
| 700 | 1 | |a Zheng, Xiangyang |e investigator |4 oth | |
| 700 | 1 | |a Guo, Zhendong |e investigator |4 oth | |
| 700 | 1 | |a Wu, Shukuan |e investigator |4 oth | |
| 700 | 1 | |a Li, Yilei |e investigator |4 oth | |
| 700 | 1 | |a Li, Huimei |e investigator |4 oth | |
| 700 | 1 | |a Wu, Ming |e investigator |4 oth | |
| 700 | 1 | |a Zhou, Yonglin |e investigator |4 oth | |
| 700 | 1 | |a Zhou, Jinyi |e investigator |4 oth | |
| 700 | 1 | |a Tao, Ran |e investigator |4 oth | |
| 700 | 1 | |a Yang, Jie |e investigator |4 oth | |
| 700 | 1 | |a Su, Jian |e investigator |4 oth | |
| 700 | 1 | |a Liu, Fang |e investigator |4 oth | |
| 700 | 1 | |a Zhang, Jun |e investigator |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Stroke and vascular neurology |d 2016 |g (2023) vom: 28. Aug. |w (DE-627)NLM263633950 |x 2059-8696 |7 nnns |
| 773 | 1 | 8 | |g year:2023 |g day:28 |g month:08 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1136/svn-2023-002428 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |j 2023 |b 28 |c 08 | ||