2018
DOI: 10.21105/joss.00731
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qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots

Abstract: Genome-wide association studies (GWAS) have been successful in identifying thousands of trait and disease-associated single nucleotide polymorphisms (SNPs). The primary result of a GWAS analysis is a list of SNPs, their associated chromosomal position, and a Pvalue representing the statistical significance of the association. A commonly used method used to visualize GWAS results is the "manhattan plot"-a plot of the −log 10 (P) of the association statistic on the y-axis versus the chromosomal position of the S… Show more

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Cited by 1,014 publications
(794 citation statements)
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“…Genome‐wide association mapping across all groups was conducted using only SNPs with a minor allele frequency of >0.01, with population structure accounted for by using the respective fixed and random effects of γ and u . The qqman R package (Turner, 2014) was used to visualize quantile–quantile plots and the genomic inflation parameter Λ, a metric of the degree of inflation of p ‐values (Devlin and Roeder, 1999), was calculated.…”
Section: Methodsmentioning
confidence: 99%
“…Genome‐wide association mapping across all groups was conducted using only SNPs with a minor allele frequency of >0.01, with population structure accounted for by using the respective fixed and random effects of γ and u . The qqman R package (Turner, 2014) was used to visualize quantile–quantile plots and the genomic inflation parameter Λ, a metric of the degree of inflation of p ‐values (Devlin and Roeder, 1999), was calculated.…”
Section: Methodsmentioning
confidence: 99%
“…The Manhattan plots in Figure 13 (generated using the qqman package (Turner, 2018)) show the magnitude of the univariate p-values and the size of the lasso coefficients for each gene for the two quantitative traits and two binary traits. The coefficients are plotted for the model with the optimal R 2 value on the validation set.…”
Section: A Manhattan Plotsmentioning
confidence: 99%
“…A genome-wide association study (GWAS) based on sex was performed using plink v. 1.9b_5.2-x86_64 (Purcell et al, 2007) with the "fisher-midp" option. The -log(p-value) of each SNP was visualized on a manhattan plot created with the R software qqman v. 0.1.4 (Turner, 2018). Significance was assessed via Bonferonni correction at = 0.05.…”
Section: Genome-wide Association Studymentioning
confidence: 99%