Authors and Citation

Authors

• Siming Zhao. Author.

• Wesley Crouse. Author.

• Sheng Qian. Author.

• Kaixuan Luo. Author, maintainer.

• Matthew Stephens. Author.

• Xin He. Author.

Citation

Zhao S, Crouse W, Qian S, Luo K, Stephens M, He X. Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits. Nature Genetics 56, 336-347 (2024). https://doi.org/10.1038/s41588-023-01648-9

@Article{,
  title = {Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits},
  author = {Siming Zhao and Wesley Crouse and Sheng Qian and Kaixuan Luo and Matthew Stephens and Xin He},
  journal = {Nature Genetics},
  doi = {10.1038/s41588-023-01648-9},
  volume = {56},
  pages = {336-347},
  year = {2024},
  url = {https://doi.org/10.1038/s41588-023-01648-9},
}

Qian S, Luo K, Sun X, Crouse W, Liang L, Gu J, Stephens M, Zhao S, He X. Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes. medRxiv 2025.12.19.25342620. https://doi.org/10.64898/2025.12.19.25342620

@Article{,
  title = {Integrating multi-omics and multi-context QTL data with GWAS reveals the genetic architecture of complex traits and improves the discovery of risk genes},
  author = {Sheng Qian and Kaixuan Luo and Xiaotong Sun and Wesley Crouse and Lifan Liang and Jing Gu and Matthew Stephens and Siming Zhao and Xin He},
  journal = {medRxiv},
  doi = {10.64898/2025.12.19.25342620},
  year = {2025},
  url = {https://doi.org/10.64898/2025.12.19.25342620},
}