[BioC] finding a very large number of false positives using edgeR
Blum, Charles
CBlum at mednet.ucla.edu
Thu Jan 16 00:07:49 CET 2014
Hi,
I am running edgeR on 6 RNAseq samples that were generated using the exact same protocol but are from different Illumina project runs.
In theory, no genes should be differentially expressed. Nevertheless, edgeR identifies almost 7,000 genes as DE at a FDR rate of 0.1. This is very puzzling.
I ran edgeR using the classic approach (exactTest) and the glm approach.
To get an idea of sequencing depth:
Sample: Project1_sample1 Project1_sample2 Project1_sample3 Project2_sample1 Project2_sample2 Project2_sample3
Total unique annotated read counts: 41,440,190 26,429,859 29,655,944 25,423,167 30,914,059 35,41,714
Could it be due to the variability in sequencing depth between projects?
Could there anything else in the data or analysis that could violate any assumptions made by edgeR?
Is there any known problems with the newest version of edgeR?
> sessionInfo()
R version 3.0.2 (2013-09-25)
Platform: x86_64-apple-darwin10.8.0 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] splines parallel stats graphics grDevices utils datasets methods base
other attached packages:
[1] GenomicFeatures_1.14.2 AnnotationDbi_1.24.0 GenomicRanges_1.14.4 XVector_0.2.0
[5] IRanges_1.20.6 biomaRt_2.18.0 edgeR_3.4.2 limma_3.18.7
[9] DESeq_1.14.0 lattice_0.20-24 locfit_1.5-9.1 Biobase_2.22.0
[13] BiocGenerics_0.8.0 gplots_2.12.1 MASS_7.3-29 heatmap.plus_1.3
loaded via a namespace (and not attached):
[1] annotate_1.40.0 Biostrings_2.30.1 bitops_1.0-6 BSgenome_1.30.0 caTools_1.16
[6] DBI_0.2-7 gdata_2.13.2 genefilter_1.44.0 geneplotter_1.40.0 grid_3.0.2
[11] gtools_3.1.1 KernSmooth_2.23-10 RColorBrewer_1.0-5 RCurl_1.95-4.1 Rsamtools_1.14.2
[16] RSQLite_0.11.4 rtracklayer_1.22.0 stats4_3.0.2 survival_2.37-4 tools_3.0.2
[21] XML_3.95-0.2 xtable_1.7-1 zlibbioc_1.8.0
> packageDescription('edgeR')$Maintainer
[1] "Mark Robinson <mark.robinson at imls.uzh.ch>, Davis McCarthy\n<dmccarthy at wehi.edu.au>, Yunshun Chen <yuchen at wehi.edu.au>,\nGordon Smyth <smyth at wehi.edu.au>"
Thanks,
Charles
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