Post hoc Analysis for Detecting Individual Rare Variant Risk Associations Using Probit Regression Bayesian Variable Selection Methods in Case-Control Sequencing Studies

Nicholas B Larson; Shannon McDonnell; Lisa Cannon Albright; Craig Teerlink; Janet Stanford; Elaine A Ostrander; William B Isaacs; Jianfeng Xu; Kathleen A Cooney; Ethan Lange; Johanna Schleutker; John D Carpten; Isaac Powell; Joan Bailey-Wilson; Olivier Cussenot; Geraldine Cancel-Tassin; Graham Giles; Robert MacInnis; Christiane Maier; Alice S Whittemore; Chih-Lin Hsieh; Fredrik Wiklund; William J Catolona; William Foulkes; Diptasri Mandal; Rosalind Eeles; Zsofia Kote-Jarai; Michael J Ackerman; Timothy M Olson; Christopher J Klein; Stephen N Thibodeau; Daniel J Schaid

Journal article

Post hoc Analysis for Detecting Individual Rare Variant Risk Associations Using Probit Regression Bayesian Variable Selection Methods in Case-Control Sequencing Studies

Nicholas B Larson, Shannon McDonnell, Lisa Cannon Albright, Craig Teerlink, Janet Stanford, Elaine A Ostrander, William B Isaacs, Jianfeng Xu, Kathleen A Cooney, Ethan Lange, Johanna Schleutker, John D Carpten, Isaac Powell, Joan Bailey-Wilson, Olivier Cussenot, Geraldine Cancel-Tassin, Graham Giles, Robert MacInnis, Christiane Maier, Alice S Whittemore Show all

Genetic Epidemiology | WILEY | Published : 2016

DOI: 10.1002/gepi.21983

University of Melbourne Researchers

Graham Giles Author Melbourne School of Population and Global Health

Robert MacInnis Author Melbourne School of Population and Global Health

Grants

Awarded by US Public Health Service, National Institutes of Health (NIH)

Awarded by National Cancer Institute

Awarded by Cancer Research UK

Funding Acknowledgements

This research was supported by the US Public Health Service, National Institutes of Health (NIH), contract grant number GM065450 (D.J.S.) and National Cancer Institute, grant number U01 CA 89600 (S.N.T.). There are no conflicts of interest to declare.