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Bayesian model comparison for rare variant association studies of multiple phenotypes
View ORCID ProfileChristopher DeBoever, Matthew Aguirre, View ORCID ProfileYosuke Tanigawa, Chris C. A. Spencer, Timothy Poterba, Carlos D. Bustamante, Mark J. Daly, Matti Pirinen, View ORCID ProfileManuel A. Rivas
doi: https://doi.org/10.1101/257162
Christopher DeBoever
1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
Matthew Aguirre
1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
Yosuke Tanigawa
1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
Chris C. A. Spencer
2Genomics plc, Oxford, UK
Timothy Poterba
3Broad Institute of MIT and Harvard, Cambridge, MA, USA
Carlos D. Bustamante
1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
4Department of Genetics, Stanford University, Stanford, CA, USA
Mark J. Daly
3Broad Institute of MIT and Harvard, Cambridge, MA, USA
5Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
Matti Pirinen
6Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
7Department of Public Health, University of Helsinki, Helsinki, Finland
8Helsinki Institute for Information Technology HIIT and Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
Manuel A. Rivas
1Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
Article usage
Posted April 14, 2018.
Bayesian model comparison for rare variant association studies of multiple phenotypes
Christopher DeBoever, Matthew Aguirre, Yosuke Tanigawa, Chris C. A. Spencer, Timothy Poterba, Carlos D. Bustamante, Mark J. Daly, Matti Pirinen, Manuel A. Rivas
bioRxiv 257162; doi: https://doi.org/10.1101/257162
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