Home  >>  Archives  >>  Volume 13 Number 2  >>  st0295

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

Subscribe to the Stata Journal

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.
Terms of use     View this article (PDF)

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

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS