4. Visualization using xQTLbiolinks

In xQTLbiolinks: An R Package for Integrative Analysis of Quantitative Trait Locus Data of 'xQTL'

knitr::opts_chunk$set(
  echo=TRUE,
  progress =FALSE,
  comment = "#>"
)
options(rmarkdown.html_vignette.check_title = FALSE)

Some visual examples are provided in this vignette, including example data, code, and figures.

Visualilzation of eQTL, sQTL, gene expression across tissues.

xQTLvisual_eqtl("KIF15")

# knitr::include_graphics("images/visualization/xQTLvisual_eqtl.png")

 genes <- c("FNDC8", "S100Z", "AQP6", "AMOT", "C3orf38", "FOXL1", "COX11", "FCN3", "DDX58", "CFI", "MS4A18", "NUDT13", "HOXA4", "VSX1")
 xQTLvisual_genesExp(genes, tissueSiteDetail="Lung")

# knitr::include_graphics("images/visualization/xQTLvisual_genesExp.png")

geneExpTissues <- xQTLvisual_geneExpTissues("TP53", tissues=c("Lung", "Brain","Ovary"))

# knitr::include_graphics("images/visualization/visualization_tissueExp.png")

geneExpTissues <- xQTLvisual_geneExpTissues("TP53")

# knitr::include_graphics("images/visualization/geneExpTissues.png")

expEqtl <- xQTLvisual_eqtlExp(variantName="rs78378222", gene ="TP53",
                              tissueSiteDetail="Lung")
expEqtl

# knitr::include_graphics("images/visualization/xQTLvisual_eqtlExp.png")

expSqtl <- xQTLvisual_sqtlExp(variantName="chr11_66561248_T_C_b38",variantType="variantId",
                              phenotypeId ="chr11:66348070:66353455:clu_8500:ENSG00000255468.6",
                              tissueSiteDetail="Skin - Sun Exposed (Lower leg)")
expSqtl

# knitr::include_graphics("images/visualization/xQTLvisual_sqtlExp.png")

LocusZoom plot for GWAS dataset:

library(data.table)
gwasDF <- fread("https://gitee.com/stronghoney/exampleData/raw/master/gwasChr6Sub4.txt")
p_all <- xQTLvisual_locusZoom(gwasDF)
p_sub <- xQTLvisual_locusZoom(gwasDF, posRange="chr6:4.7e7-4.8e7", population ="EUR")
cowplot::plot_grid(p_all, p_sub, align = "h", ncol = 2)

# knitr::include_graphics("images/visualization/visualization_locusZoom.png")

LocusZoom plot for eQTL signals of a gene of interest:

eqtlAsso <- xQTLdownload_eqtlAllAsso("RP11-385F7.1",
                                     tissueLabel = "Brain - Cortex")
p_all <- xQTLvisual_locusZoom(eqtlAsso[,c("snpId", "chrom", "pos", "pValue")], highlightSnp="rs4711878" )
p_sub <- xQTLvisual_locusZoom(eqtlAsso[,c("snpId", "chrom", "pos", "pValue")], highlightSnp="rs4711878",
                              posRange="chr6:47.3e6-47.9e6")
cowplot::plot_grid(p_all, p_sub, align = "h", ncol = 2)

# knitr::include_graphics("images/visualization/visualization_locusZoom_eQTL1.png")

eqtlAssos <- xQTLdownload_eqtlAllAssoPos(chrom = "chr6", pos_lower=47.4e6, pos_upper = 47.7e6,  
                                         tissueLabel = "Brain - Cortex", p_upper=0.1)
p1 <- xQTLvisual_locusZoom(eqtlAssos[,c("snpId", "chrom", "pos", "pValue")], highlightSnp = "rs34744382")
eqtlAssos_gene <- xQTLdownload_eqtlAllAssoPos(chrom = "chr6", pos_lower=47.4e6, pos_upper = 47.7e6,  
                                              gene="RP11-385F7.1",tissueLabel = "Brain - Cortex", p_upper=0.1)
p2 <- xQTLvisual_locusZoom(eqtlAssos_gene[,c("snpId", "chrom", "pos", "pValue")], highlightSnp = "rs34744382")
cowplot::plot_grid(p1, p2, align = "h", ncol = 2)

# knitr::include_graphics("images/visualization/visualization_locusZoom_eQTLpos.png")

library(data.table)
eqtlDF <-fread("https://gitee.com/stronghoney/exampleData/raw/master/eqtl/eqtlAsso1.txt")
gwasDF <-fread("https://gitee.com/stronghoney/exampleData/raw/master/gwas/AD/gwasChr6Sub3.txt")
xQTLvisual_locusCompare( eqtlDF, gwasDF, legend_position="topleft")

# knitr::include_graphics("images/visualization/visualization_locusCompare.png")

gwasEqtldata <- data.table::fread("http://bioinfo.szbl.ac.cn/xQTL_biolinks/xqtl_data/gwas/AD/gwasEqtldata.txt")
xQTLvisual_locusCombine(gwasEqtldata, highlightSnp="rs13120565")

# knitr::include_graphics("images/visualization/xQTLvisual_locusCombine.png")

xQTLvisual_coloc( gene="MMP7", variantName="rs11568818", study="TwinsUK")

# knitr::include_graphics("images/visualization/eQTLspecificity.png")

xQTLbiolinks documentation built on Sept. 15, 2023, 1:06 a.m.