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Unlocking the potential of pedigree genomics via precision governance

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China’s large, multi-generational pedigrees provide a distinctive genomic resource for precision medicine but present a governance challenge. We propose a new framework that addresses the core contradiction between individual-centric governance and the collective nature of these genomic datasets.

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References

  1. Gao, Y. et al. A pangenome reference of 36 Chinese populations. Nature 619, 112–121 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Cao, Y. et al. The ChinaMAP analytics of deep whole genome sequences in 10,588 individuals. Cell Res. 30, 717–731 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Gudbjartsson, D. F. et al. Large-scale whole-genome sequencing of the Icelandic population. Nat. Genet. 47, 435–444 (2015).

    Article  CAS  PubMed  Google Scholar 

  4. Kurki, M. I. et al. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature 613, 508–518 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Gudmundsson, S. et al. Genetic association analysis of 77,539 genomes reveals rare disease etiologies. Nat. Med. 29, 598–607 (2023).

    Google Scholar 

  6. Lewanski, A. L., Grundler, M. C. & Bradburd, G. S. The era of the ARG: An introduction to ancestral recombination graphs and their significance in empirical evolutionary genomics. PLoS Genet. 20, e1011110 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Erlich, Y. et al. Identity inference of genomic data using long-range familial searches. Science 362, 690–694 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Yu, L., Feng, R., Sun, Y. & Peng, Y. Governance of cross-border genomic data sharing through a human rights approach. Nat. Genet. 57, 2090–2098 (2025).

    Article  CAS  PubMed  Google Scholar 

  9. Kockan, C. et al. Sketching algorithms for genomic data analysis and querying in a secure enclave. Nat. Methods 17, 295–301 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Cho, H., Wu, D. J. & Berger, B. Secure genome-wide association analysis using multiparty computation. Nat. Biotechnol. 36, 547–551 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

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Correspondence to Ruohan Feng  (冯若涵) or Yaojin Peng  (彭耀进).

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Lin, H., Ding, L., Hu, X. et al. Unlocking the potential of pedigree genomics via precision governance. Nat Rev Genet (2026). https://doi.org/10.1038/s41576-026-00954-2

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