| [1] | Cheng, S., Xu, Z., Bian, S., et al. (2023). The STROMICS genome study: deep whole- genome sequencing and analysis of 10K Chinese patients with ischemic stroke reveal complex genetic and phenotypic interplay. Cell Discov. 9: 75. https://doi.org/10.1038/s41421-023-00582-8. |
| [2] | Du, Z., Ma, L., Qu, H., et al. (2019). Whole genome analyses of Chinese population and De Novo assembly of a northern Han genome. Genom. Proteom. Bioinform. 17: 229-247. https://doi.org/10.1016/j.gpb.2019.07.002. |
| [3] | Chen, Z., Chen, J., Collins, R., et al. (2011). China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. Int. J. Epidemiol. 40: 1652-1666. https://doi.org/10.1093/ije/dyr120. |
| [4] | Yu, K., Das, S., LeFaive, J., et al. (2022). Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels. Am. J. Hum. Genet. 109: 1007-1015. https://doi.org/10.1016/j.ajhg.2022.04.002. |
| [5] | Zhang, Q.X., Liu, T., Guo, X., et al. (2024). Searching across-cohort relatives in 54, 092 GWAS samples via encrypted genotype regression. PLoS Genet. 20: e1011037. https://doi.org/10.1371/journal.pgen.1011037. |
| Chen G.-B., Liu S., Zhang L., et al., (2024). Building and sharing medical cohorts for research. The Innovation 5(3), 100623. https://doi.org/10.1016/j.xinn.2024.100623 |
To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.
Metaphor of data sharing in medical research