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The Stata Journal
Volume 13 Number 2: pp. 323-328

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Generating Manhattan plots in Stata

Daniel E. Cook
University of Iowa
Iowa City, IA
Kelli R. Ryckman
University of Iowa
Iowa City, IA
Jeffrey C. Murray
University of Iowa
Iowa City, IA
Abstract.  Genome-wide association studies hold the potential for discovering genetic causes for a wide range of diseases, traits, and behaviors. However, the incredible amount of data handling, advanced statistics, and visualization have made conducting these studies difficult for researchers. Here we provide a tool, manhattan, for helping investigators easily visualize genome-wide association studies data in Stata.
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View all articles by these authors: Daniel E. Cook, Kelli R. Ryckman, Jeffrey C. Murray

View all articles with these keywords: manhattan, Manhattan plots, genome-wide association studies, single nucleotide polymorphisms

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