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Authors and Citation

Authors

  • Gao Wang. Author.

  • Yuxin Zou. Author.

  • Alexander McCreight. Author.

  • Kaiqian Zhang. Author.

  • William R.P. Denault. Author.

  • Peter Carbonetto. Author, maintainer.

  • Matthew Stephens. Author.

Citation

Source: inst/CITATION

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

@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},
}

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.

@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},
}

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

@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},
}

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.

@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},
}

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

@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},
}