Open AccessPhenome-Wide Association Study (PheWAS) for Detection of Pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network
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,
Alexander P. Reiner,
Robert B. Wallace,
Lynn R. Wilkens,
Dana C. Crawford,
Marylyn D. Ritchie
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/f8pj-t864
Subject(s) - phenome , pleiotropy , genetic architecture , genomics , genome wide association study , association (psychology) , biology , population , genetic association , genetics , genetic epidemiology , computational biology , medicine , single nucleotide polymorphism , genome , quantitative trait locus , genotype , gene , environmental health , psychology , psychotherapist , phenotype