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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
daniel-e-cook@uiowa.edu
Kelli R. Ryckman
University of Iowa
Iowa City, IA
kelli-ryckman@uiowa.edu
Jeffrey C. Murray
University of Iowa
Iowa City, IA
jeff-murray@uiowa.edu
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.

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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