To cite the susieR package, please use both:

Wang, G., Sarkar, A., Carbonetto, P. & Stephens, M. (2020). A simple new approach to variable selection in regression, with application to genetic fine mapping. Journal of the Royal Statistical Society, Series B 82, 1273-1300. https://doi.org/10.1111/rssb.12388

McCreight, A., Cho, Y., Nachun, D., Li, R., Gan, H-Y., Stephens, M., Carbonetto, P., Denault, W.R.P. & Wang, G. (2025). SuSiE 2.0: improved methods and implementations for genetic fine-mapping and phenotype prediction. Submitting to Genome Biology.

If susie_suff_stat or susie_rss is used, please also cite:

Zou, Y., Carbonetto, P., Wang, G. & Stephens, M. (2022). Fine-mapping from summary data with the "Sum of Single Effects" model. PLoS Genetics 18, e1010299. https://doi.org/10.1371/journal.pgen.1010299

If estimate_residual_method = 'NIG' is used, please also cite:

Denault, W.R.P., Carbonetto, P., Li, R., Alzheimer's Disease Functional Genomics Consortium, Wang, G. & Stephens, M. (2025). Accounting for uncertainty in residual variances improves calibration of the 'Sum of Single Effects' model for small sample sizes. bioRxiv, 2025-05. Under review for Nature Methods.

If unmappable_effects = 'inf' is used, please also cite:

Cui, R., Elzur, R.A., Kanai, M. et al. (2024). Improving fine-mapping by modeling infinitesimal effects. Nature Genetics 56, 162-169. https://doi.org/10.1038/s41588-023-01597-3

Corresponding BibTeX entries:

  @Article{,
    title = {A simple new approach to variable selection in regression,
      with application to genetic fine mapping},
    author = {Gao Wang and Abhishek Sarkar and Peter Carbonetto and
      Matthew Stephens},
    journal = {Journal of the Royal Statistical Society, Series B},
    year = {2020},
    volume = {82},
    pages = {1273-1300},
    doi = {10.1111/rssb.12388},
  }

  @Article{,
    title = {SuSiE 2.0: improved methods and implementations for
      genetic fine-mapping and phenotype prediction},
    author = {Alexander McCreight and Yanghyeon Cho and Daniel Nachun
      and Ruixi Li and Hao-Yu Gan and Matthew Stephens and Peter
      Carbonetto and William {R.P. Denault} and Gao Wang},
    journal = {Submitting to Genome Biology},
    year = {2025},
  }

  @Article{,
    title = {Fine-mapping from summary data with the "Sum of Single
      Effects" model},
    author = {Yuxin Zou and Peter Carbonetto and Gao Wang and Matthew
      Stephens},
    journal = {PLoS Genetics},
    volume = {18},
    year = {2022},
    pages = {e1010299},
    doi = {10.1371/journal.pgen.1010299},
  }

  @Article{,
    title = {Accounting for uncertainty in residual variances improves
      calibration of the 'Sum of Single Effects' model for small sample
      sizes},
    author = {William {R.P. Denault} and Peter Carbonetto and Ruixi Li
      and {Alzheimer's Disease Functional Genomics Consortium} and Gao
      Wang and Matthew Stephens},
    journal = {bioRxiv},
    year = {2025},
    note = {Under review for Nature Methods},
  }

  @Article{,
    title = {Improving fine-mapping by modeling infinitesimal effects},
    author = {Rui Cui and R.A. Elzur and M. Kanai and {et al.}},
    journal = {Nature Genetics},
    volume = {56},
    year = {2024},
    pages = {162-169},
    doi = {10.1038/s41588-023-01597-3},
  }