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The Innovation Medicine > 2025 Vol. 3 > No. 4 > 100168
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Discover novel biomarkers using population-scale whole-genome sequencing

  • 1.

    Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China

  • 2.

    Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China

  • 3.

    Changzhou Institute for Advanced Study of Public Health, Nanjing Medical University, Changzhou 213022, China

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  • Corresponding author: sshen@njmu.edu.cn
  • Received Date:  September 15, 2025
    Accepted Date:  November 03, 2025
    Published Online:  November 05, 2025
The Innovation Medicine  3(4),  https://doi.org/10.59717/j.xinn-med.2025.100168  |  Cite this article
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    • REFERENCES
  • [1] Carss K., Halldorsson B. V., Hou L., et al. (2025). Whole-genome sequencing of 490,640 UK Biobank participants. Nature 645:692−701. DOI:10.1038/s41586-025-09272-9

    View in Article CrossRef Google Scholar

    [2] Li H., Zhao J., Dai J., et al. (2025). Multi-ancestry sequencing-based genome-wide association study of C-reactive protein in 513,273 genomes. Nat. Commun. 16:3892. DOI:10.1038/s41467-025-59155-w

    View in Article CrossRef Google Scholar

    [3] Li X., Li Z., Zhou H., et al. (2020). Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nat. Genet. 52:969−983. DOI:10.1038/s41588-020-0676-4

    View in Article CrossRef Google Scholar

    [4] Dai J., Zhang Y., Gao Y., et al. (2025). Boosting the power of rare variant association studies by imputation using large-scale sequencing population. Genomics Proteomics Bioinformatics 17:qzaf084. DOI:10.1093/gpbjnl/qzaf084

    View in Article CrossRef Google Scholar

    [5] Li X., Wood A. R., Yuan Y., et al. (2025). Streamlining large-scale genomic data management: Insights from the UK Biobank whole-genome sequencing data. Cell Genom. 18:101009. DOI:10.1016/j.xgen.2025.101009

    View in Article CrossRef Google Scholar

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  • Cite this article:

    Zhao J. and Shen S. (2025). Discover novel biomarkers using population-scale whole-genome sequencing. The Innovation Medicine 3:100168. https://doi.org/10.59717/j.xinn-med.2025.100168
    Zhao J. and Shen S. (2025). Discover novel biomarkers using population-scale whole-genome sequencing. The Innovation Medicine 3:100168. https://doi.org/10.59717/j.xinn-med.2025.100168

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