bioRxivBioinformaticsPreprint
qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots
Abstract
SummaryGenome-wide association studies (GWAS) have identified thousands of human trait-associated single nucleotide polymorphisms. Here, I describe a freely available R package for visualizing GWAS results using Q-Q and manhattan plots. The qqman package enables the flexible creation of manhattan plots, both genome-wide and for single chromosomes, with optional highlighting of SNPs of interest.\n\nAvailabilityqqman is released under the GNU General Public License, and is freely available on the Comprehensive R Archive Network (http://cran.r-project.org/package=qqman). The source code is available on GitHub (https://github.com/stephenturner/qqman).\n\nContactturner@virginia.edu
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- fastman: A Fast Algorithm for Visualising GWAS Results Using Manhattan and Q-Q Plots in R
Soumya Subhra Paria, Sarthok Rasique Rahman, Kaustubh Adhikari·bioRxiv·Apr 19, 2022
- Assocplots: a python package for static and interactive visualization of multiple-group GWAS results
Ekaterina A Khramtsova, Barbara E. Stranger·bioRxiv·Jul 7, 2016
- gwaRs: an R shiny web application for visualizing genome-wide association studies data
Lethukuthula L. Nkambule·bioRxiv·Apr 17, 2020
- hudson: A User-Friendly R Package to Extend Manhattan Plots
Anastasia Lucas, Anurag Verma, Marylyn DeRiggi Ritchie·bioRxiv·Jan 25, 2022
- 3D-Manhattan: An interactive visualization tool for multiple GWAS results
Shumpei Hashimoto·Ikushugaku zasshiPeer-reviewed·Jan 1, 2026
- RACER: A data visualization strategy for exploring multiple genetic associations
Olivia L. Sabik, Charles R. Farber·bioRxiv·Dec 14, 2018