Phenome-Wide Association Study (PheWAS) for Detection of Pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network
Author(s) -
Alex P. Reiner,
Marylyn D. Ritchie,
Kristine R. Monroe,
Yi Lin,
Dana C. Crawford,
Charles Kooperberg,
Christy L. Avery,
Tara C. Matise,
Sungshim L. Park,
Chu-Nan Hsu,
Rebecca D. Jackson,
Robert Goodloe,
Alex Frase,
Scott Dudek,
Loı̈c Le Marchand,
Lynn R. Wilkens,
Lucia A. Hindorff,
Eric S. Torstenson,
Gerardo Heiss,
Ewa Deelman,
Sarah A. Pendergrass,
Kristin BrownGentry,
Megan D. Fesinmeyer,
Robert B. Wallace,
Petra Bůžková,
Larry W. Moreland,
Steven Buyske,
José Luis Ambite,
Christopher A. Haiman
Publication year - 2020
Publication title -
unc libraries
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 , phenotype , psychotherapist
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