Papers: 10.1371/journal.pgen.1003087

https://doi.org/10.1371/journal.pgen.1003087

Phenome-Wide Association Study (PheWAS) for Detection of Pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network

Cited by: 156
Author(s): Sarah A. Pendergrass, Kristin Brown-Gentry, Scott M. Dudek, Alex T. Frase, Eric S. Torstenson, Robert Goodloe, José Luis Ambite, Christy L. Avery, Steven Buyske, Petra Bůžková, Ewa Deelman, Megan D. Fesinmeyer, Christopher A. Haiman, Gerardo Heiss, Lucia A. Hindorff, Chu Nan Hsu, Rebecca D. Jackson, Charles Kooperberg, Loı̈c Le Marchand, Yi Lin, Tara C. Matise, Kristine R. Monroe, Larry W. Moreland, Sungshim L. Park, Alex P. Reiner, Robert B. Wallace, Lynn R. Wilkens, Dana C. Crawford, Marylyn D. Ritchie
Published: over 13 years ago

Software Mentions 1

pypi: ARIC
ARIC: Accurate and robust inference of cell type proportions from bulk gene expression or DNA methylation data
Papers that mentioned: 21
Very Likely Science (100)