A scalable framework enables phenome-wide association of structural variants in biobank cohorts

Miaoxin Li, Wenjie Peng, Liubin Zhang, Tianci Huang, Chiyu Wei, Zhi Liu, Li Fang

Open source

DOI: 10.21203/rs.3.rs-10237876/v1
Published: 2026-08-06
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-10237876/v1,
  title = {A scalable framework enables phenome-wide association of structural variants in biobank cohorts},
  author = {Miaoxin Li and Wenjie Peng and Liubin Zhang and Tianci Huang and Chiyu Wei and Zhi Liu and Li Fang},
  year = {2026},
  doi = {10.21203/rs.3.rs-10237876/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10237876/v1}
}

RIS

TY  - JOUR
TI  - A scalable framework enables phenome-wide association of structural variants in biobank cohorts
AU  - Miaoxin Li
AU  - Wenjie Peng
AU  - Liubin Zhang
AU  - Tianci Huang
AU  - Chiyu Wei
AU  - Zhi Liu
AU  - Li Fang
PY  - 2026
DO  - 10.21203/rs.3.rs-10237876/v1
UR  - https://doi.org/10.21203/rs.3.rs-10237876/v1
ER  -

APA

Li, M., Peng, W., Zhang, L., Huang, T., Wei, C., Liu, Z., & Fang, L. (2026). A scalable framework enables phenome-wide association of structural variants in biobank cohorts. https://doi.org/10.21203/rs.3.rs-10237876/v1

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crossref · retrieved 2026-09-26T06:36:30.227Z