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Published October 17, 2022 | Version v1
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Supplemental data for: Development and validation of a polygenic risk score for stroke in the Chinese population

Creators

  • 1. Peking Union Medical College Hospital
  • 2. Nanjing Medical University
  • 3. Shenzhen University Health Science Center
  • 4. Shandong Academy of Medical Sciences*
  • 5. Tianjin Medical University
  • 6. Guangdong Provincial People's Hospital and Cardiovascular Institute*
  • 7. People's Hospital of Yixing City*
  • 8. Fujian Provincial Hospital
  • 9. Soochow University
  • 10. University of Michigan-Ann Arbor

Description

Objective: To construct a polygenic risk score (PRS) for stroke and evaluate its utility in risk stratification and primary prevention for stroke.
 
Methods: Using meta-analytic approach and large genome-wide association results for stroke and stroke-related traits in East Asians, we generated a combined PRS (metaPRS) by incorporating 534 genetic variants in a training set of 2,872 patients with stroke and 2,494 controls. We then validated its association with incident stroke using Cox regression models in large Chinese population-based prospective cohorts comprising 41,006 individuals.
 
Results: During a total of 367,750 person-years (mean follow-up 9.0 years), 1,227 participants developed stroke before age of 80 years. Individuals with high polygenic risk had an about 2-fold higher risk of incident stroke compared with those with low polygenic risk (HR: 1.99, 95% CI: 1.66-2.38), with the lifetime risk of stroke being 25.2% (95% CI: 22.5%-27.7%) and 13.6% (95% CI: 11.6%-15.5%), respectively. Individuals with both high polygenic risk and family history displayed the lifetime risk as high as 41.1% (95% CI: 31.4%-49.5%). Moreover, individuals with high polygenic risk achieved greater benefits in terms of absolute risk reductions from adherence to ideal fasting blood glucose and total cholesterol than those with low polygenic risk. Maintaining favorable cardiovascular health (CVH) profile could substantially mitigate the increased risk conferred by high polygenic risk to the level of the low polygenic risk (from 34.6 % to 13.2%).
 
Conclusions: Our metaPRS has great potential for risk stratification of stroke and identification of individuals who may benefit more from maintaining ideal CVH. 
 
Classification of Evidence: This study provides Class I evidence that a meta-polygenic risk score is predictive of stroke risk.

 

Notes

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 91857118

Funding provided by: Chinese Academy of Medical Sciences Initiative for Innovative Medicine
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100019018
Award Number: 2017-I2M-1-004

Funding provided by: National Key Research and Development Program of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166
Award Number: 2017YFC0211700

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 81773537

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 82030102

Funding provided by: Chinese Academy of Medical Sciences Initiative for Innovative Medicine
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100019018
Award Number: 2019-I2M-2-003

Funding provided by: Chinese Academy of Medical Sciences Initiative for Innovative Medicine
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100019018
Award Number: 2016-I2M-1-009

Funding provided by: National Key Research and Development Program of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166
Award Number: 2018YFE0115300

Funding provided by: National Key Research and Development Program of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166
Award Number: 2017YFC0908401

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Additional details

Related works

Is cited by
10.1212/WNL.0000000000012263 (DOI)

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