Question

How to design a Volcano plot

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3.2 years ago

suxxa • 0

Hi,

I'm trying to design something similar to this with EnhancedVolcano to see only the upregulated and downregulated genes.

Is it possibile to do it?

EnhancedVolcano • 4.1k views

ADD COMMENT • link updated 3.2 years ago by Kevin Blighe 88k • written 3.2 years ago by suxxa • 0

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Sure, simply filter the data you give to the plot to only include genes that are below the pvalue cutoff you want.

Say your data are df so something like df[df$FDR<0.05,] or tidyverse-like df %>% filter(FDR<0.05).

ADD REPLY • link 3.2 years ago by ATpoint 82k

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Thanks, yes I understood and I'll follow your advice, but how can I colour the upregulated genes in red and the downregulated genes in blue? I'm using this code as a template but I'm not making any improvements...

load("results_Liver.V8.rda") 

EnhancedVolcano(resLFC,
            lab = rownames(resLFC),
            x = 'log2FoldChange',
            y = 'padj',
            title = 'Liver - SEX',
            selectLab = c('VCAM1'),
            xlab = bquote(~Log[2]~ 'fold change'),
            pCutoff = 10e-14,
            pointSize = 4.0,
            labSize = 6.0,
            labCol = 'black',
            labFace = 'bold',
            boxedLabels = TRUE,
            colAlpha = 4/5,
            legendLabels=c('Not sig.','Log (base 2) FC','p-adj',
                           'p-adj & Log (base 2) FC'),
            legendPosition = 'right',
            legendLabSize = 14,
            legendIconSize = 4.0,
            drawConnectors = TRUE,
            widthConnectors = 1.0,
            colConnectors = 'black')

This is the result liver

But I would like to colour differently the upregulated and downregulated genes and delete the pvalue -300 limit because there are too many genes squeezed and not easily seen, so maybe i could put -600 as a limit?

ADD REPLY • link 3.2 years ago by suxxa • 0

Ram · Accepted Answer · 2021-03-24

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3.2 years ago

Kevin Blighe 88k

Hi, the vignette, which I wrote, is quite detailed, if you can take a few moments to go through it so that you can see how to, for example, modify colours: https://bioconductor.org/packages/release/bioc/vignettes/EnhancedVolcano/inst/doc/EnhancedVolcano.html

The value of ~300 on the y-axis relates to p-values of 0. There is not much that EnhancedVolcano can do with p-values of 0. The relevant lines of code are: https://github.com/kevinblighe/EnhancedVolcano/blob/master/R/EnhancedVolcano.R#L274-L294

It has been suggested elsewhere to use geom_jitter() to make these values more aesthetically pleasing. I personally see absolutely no issue with them presented as they currently are [presented] in your figure, provided that you explain why they appear this way.

ADD COMMENT • link 3.2 years ago by Kevin Blighe 88k

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Hi Kevin, thanks for your work, yes I read your vignette but other errors appeared like:

Error in grid.Call(C_convert, x, as.integer(whatfrom), as.integer(whatto),  : Viewport has zero dimension(s)

I'm using this code:

Keyvals etc...

EnhancedVolcano(resLFC,
            lab = rownames(resLFC),
            x = 'log2FoldChange',
            y = 'pvalue',
            selectLab = rownames(resLFC)[which(names(keyvals) %in% c('high', 'low'))],
            xlab = bquote(~Log[2]~ 'fold change'),
            title = 'Liver - SEX',
            pCutoff = 10e-14,
            FCcutoff = 1.0,
            pointSize = 3.5,
            labSize = 4.5,
            colCustom = keyvals,
            colAlpha = 1,
            legendPosition = 'left',
            legendLabSize = 15,
            legendIconSize = 5.0,
            drawConnectors = TRUE,
            widthConnectors = 1.0,
            colConnectors = 'black',
            arrowheads = FALSE,
            gridlines.major = TRUE,
            gridlines.minor = FALSE,
            border = 'partial',
            borderWidth = 1.5,
            borderColour = 'black')

About the limit value of 300 maybe I explained it wrong, is it possible to increase this limit or it's fixed?

ADD REPLY • link 3.2 years ago by suxxa • 0

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Hi, can you confirm that all devices are off? - please run dev.off() until it returns an error. Then, what is the output of:

dim(resLFC)
str(resLFC)
str(keyvals)

Again, regarding the p-values, what can we realistically do with p-values of 0? -log10(0.00) == Infinity; so, we cannot plot these. The issue about these is sourced at that program that you use for differential expression - it calculates p-values of 0.

In order to plot these, my design choice in EnhancedVolcano is to automatically convert these p-values of 0 to 10^-1 the lowest non-zero p-value. For example, if our lowest non-zero p-value is 0.0001, then any p-value of 0 will be converted to 0.00001

You can technically manually modify these values in your results table prior to running EnhancedVolcano, if you wish

However, there is always a hard limit, which may be machine specific. This can be given by:

.Machine$double.xmin
[1] 2.225074e-308
-log10(.Machine$double.xmin)
[1] 307.6527

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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Hi, I run dev.off() and after 1 null device result I obtained an error and I runned another time the script but obtained the same error Error in grid.Call(C_convert, x, as.integer(whatfrom), as.integer(whatto), : Viewport has zero dimension(s)

Output of dim(resLFC)

  [1] 54496     5

Output of str(resLFC)

Formal class 'DESeqResults' [package "DESeq2"] with 7 slots
  ..@ priorInfo      :List of 4
  .. ..$ type         : chr "apeglm"
  .. ..$ package      : chr "apeglm"
  .. ..$ version      :Classes 'package_version', 'numeric_version'  hidden list of 1
  .. .. ..$ : int [1:3] 1 12 0
  .. ..$ prior.control:List of 7
  .. .. ..$ no.shrink            : int [1:3] 1 2 4
  .. .. ..$ prior.mean           : num 0
  .. .. ..$ prior.scale          : num 0.106
  .. .. ..$ prior.df             : num 1
  .. .. ..$ prior.no.shrink.mean : num 0
  .. .. ..$ prior.no.shrink.scale: num 15
  .. .. ..$ prior.var            : num 0.0112
  ..@ rownames       : chr [1:54496] "ENST00000336079.7" "ENST00000430575.1" "ENST00000253320.8" "ENST00000477725.1" ...
  ..@ nrows          : int 54496
  ..@ listData       :List of 5
  .. ..$ baseMean      : num [1:54496] 1185 930 613 1009 311 ...
  .. ..$ log2FoldChange: Named num [1:54496] -8.3 -7.61 -8.63 -9.42 -7.94 ...
  .. .. ..- attr(*, "names")= chr [1:54496] "ENST00000336079.7" "ENST00000430575.1" "ENST00000253320.8" "ENST00000477725.1" ...
  .. ..$ lfcSE         : Named num [1:54496] 0.126 0.119 0.136 0.152 0.156 ...
  .. .. ..- attr(*, "names")= chr [1:54496] "ENST00000336079.7" "ENST00000430575.1" "ENST00000253320.8" "ENST00000477725.1" ...
  .. ..$ pvalue        : num [1:54496] 0 0 0 0 0 0 0 0 0 0 ...
  .. ..$ padj          : num [1:54496] 0 0 0 0 0 0 0 0 0 0 ...
  ..@ elementType    : chr "ANY"
  ..@ elementMetadata:Formal class 'DFrame' [package "S4Vectors"] with 6 slots
  .. .. ..@ rownames       : NULL
  .. .. ..@ nrows          : int 5
  .. .. ..@ listData       :List of 2
  .. .. .. ..$ type       : chr [1:5] "intermediate" "results" "results" "results" ...
  .. .. .. ..$ description: chr [1:5] "mean of normalized counts for all samples" "log2 fold change (MAP): SEX 2 vs 1" "posterior SD: SEX 2 vs 1" "Wald test p-value: SEX 2 vs 1" ...
  .. .. ..@ elementType    : chr "ANY"
  .. .. ..@ elementMetadata: NULL
  .. .. ..@ metadata       : list()
  ..@ metadata       :List of 6
  .. ..$ filterThreshold: Named num 7.85
  .. .. ..- attr(*, "names")= chr "0%"
  .. ..$ filterTheta    : num 0
  .. ..$ filterNumRej   :'data.frame':  50 obs. of  2 variables:
  .. .. ..$ theta : num [1:50] 0 0.0194 0.0388 0.0582 0.0776 ...
  .. .. ..$ numRej: num [1:50] 610 603 595 584 577 572 560 554 538 532 ...
  .. ..$ lo.fit         :List of 2
  .. .. ..$ x: num [1:50] 0 0.0194 0.0388 0.0582 0.0776 ...
  .. .. ..$ y: num [1:50] 611 602 594 586 578 ...
  .. ..$ alpha          : num 0.1
  .. ..$ lfcThreshold   : num 0

Output of > str(keyvals)

    Named chr [1:54496] "royalblue" "royalblue" "royalblue" "royalblue" "royalblue" "royalblue" "royalblue" "royalblue" "gold" ...
 - attr(*, "names")= chr [1:54496] "low" "low" "low" "low" ...

ADD REPLY • link updated 3.2 years ago by Ram 43k • written 3.2 years ago by suxxa • 0

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Please deactivate selectLab and then try again

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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even with #selectLab = rownames(resLFC)[which(names(keyvals) %in% c('high', 'low'))], it doesn't work...

ADD REPLY • link 3.2 years ago by suxxa • 0

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Please show exactly how you created keyvals. Also the output of head(resLFC), please

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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keyvals <- ifelse(

  resLFC$log2FoldChange < -1.4, 'royalblue',

  ifelse(resLFC$log2FoldChange > 1.4, 'gold',

  'black'))

keyvals[is.na(keyvals)] <- 'black'

names(keyvals)[keyvals == 'gold'] <- 'high'

names(keyvals)[keyvals == 'black'] <- 'mid'

names(keyvals)[keyvals == 'royalblue'] <- 'low'

and for head head

ADD REPLY • link updated 3.2 years ago by rpolicastro 13k • written 3.2 years ago by suxxa • 0

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Strange, but I cannot see what you are doing locally. The error sometimes appears [if I recall correctly] when the plot window is too small for the output that is being produced. This could be an issue if you are using RStudio.

..and what is the output of:

rownames(resLFC)[which(names(keyvals) %in% c('high', 'low'))]

That could be the issue because, with this, you are asking it to label too many transcripts.

Try with drawConnectors = FALSE and I think that it will generate

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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Hi Kevin, many thanks I resolved disabling connectors, even using RStudio. Just another question, how could I clean this plot deleting all the ENST references?

result

output of rawnames

here

ADD REPLY • link 3.2 years ago by suxxa • 0

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Hey again, in which way do you wish to tidy these?

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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Thanks again Kevin, I would like to see only the various coloured dots, if possible...

ADD REPLY • link 3.2 years ago by suxxa • 0

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Hi, I think that, in that case, you need to use lab = NULL or lab = NA

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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Many thanks Kevin now

What if I would like to colour black under the pvalue threshold?

ADD REPLY • link 3.2 years ago by suxxa • 0

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In order to do that, you will have to go via the keyvals method

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k

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Sure, many thanks again!

ADD REPLY • link 3.2 years ago by suxxa • 0

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No problem. No more space

ADD REPLY • link 3.2 years ago by Kevin Blighe 88k