Generating Manhattan plots in Stata

Daniel E. Cook (), Kelli R. Ryckman () and Jeffrey C. Murray ()
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Daniel E. Cook: University of Iowa
Kelli R. Ryckman: University of Iowa
Jeffrey C. Murray: University of Iowa

Stata Journal, 2013, vol. 13, issue 2, 323-328

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. Copyright 2013 by StataCorp LP.

Keywords: manhattan; Manhattan plots; genome-wide association studies; single nucleotide polymorphisms (search for similar items in EconPapers)
Date: 2013
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj13-2/st0295/
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