VariantAnnotation CollapsedVCF trouble
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Entering edit mode
@fabian-grammes-6591
Last seen 3.6 years ago

Dear All

I'm trying to access columns from the CollapsedVCF object generated by VariantAnnotation::readVcf. I have data for 3847 SNPs in the object, but when sub-setting I get 2 additional entries which I don't know where they come from. Looking at the CollapsedVCF object I can see that there seems to be inconsistency in the length listData (see below). 

Help would be much appreciated!

cheers, Fabian 

> dim(my_vcf)
[1] 3847  190
> dim(info(my_vcf))
[1] 3847   20
> length(unlist(info(my_vcf)$AF))
[1] 3849

str(info(my_vcf))
Formal class 'DataFrame' [package "S4Vectors"] with 6 slots
  ..@ rownames       : NULL
  ..@ nrows          : int 3847
  ..@ listData       :List of 20
  .. ..$ AC             :Formal class 'CompressedIntegerList' [package "IRanges"] with 5 slots
  .. .. .. ..@ elementType    : chr "integer"
  .. .. .. ..@ elementMetadata: NULL
  .. .. .. ..@ metadata       : list()
  .. .. .. ..@ partitioning   :Formal class 'PartitioningByEnd' [package "IRanges"] with 5 slots
  .. .. .. .. .. ..@ end            : int [1:3847] 1 2 3 4 5 6 7 8 9 10 ...
  .. .. .. .. .. ..@ NAMES          : NULL
  .. .. .. .. .. ..@ elementType    : chr "integer"
  .. .. .. .. .. ..@ elementMetadata: NULL
  .. .. .. .. .. ..@ metadata       : list()
  .. .. .. ..@ unlistData     : int [1:3849] 234 27 15 195 96 89 121 79 6 3 ...
  .. ..$ AF             :Formal class 'CompressedNumericList' [package "IRanges"] with 5 slots
  .. .. .. ..@ elementType    : chr "numeric"
  .. .. .. ..@ elementMetadata: NULL
  .. .. .. ..@ metadata       : list()
  .. .. .. ..@ partitioning   :Formal class 'PartitioningByEnd' [package "IRanges"] with 5 slots
  .. .. .. .. .. ..@ end            : int [1:3847] 1 2 3 4 5 6 7 8 9 10 ...
  .. .. .. .. .. ..@ NAMES          : NULL
  .. .. .. .. .. ..@ elementType    : chr "integer"
  .. .. .. .. .. ..@ elementMetadata: NULL
  .. .. .. .. .. ..@ metadata       : list()
  .. .. .. ..@ unlistData     : num [1:3849] 0.616 0.082 0.04 0.595 0.471 ...
  .. ..$ AN             : int [1:3847] 380 330 374 328 204 200 140 314 348 324 ...
  .. ..$ BaseQRankSum   : num [1:3847] 0.337 0.715 0.361 0 0 0.727 -0.684 0.55 0.054 0.406 ...
  .. ..$ ClippingRankSum: num [1:3847] 0.06 -0.528 0.358 0.278 0.358 0.72 0.48 0.322 0.369 0.736 ...
  .. ..$ DP             : int [1:3847] 3962 5270 1444 958 342 321 249 609 4623 2274 ...
  .. ..$ DS             : logi [1:3847] FALSE FALSE FALSE FALSE FALSE FALSE ...
  .. ..$ END            : int [1:3847] NA NA NA NA NA NA NA NA NA NA ...
  .. ..$ ExcessHet      : num [1:3847] 9.3468 2.9037 4.4809 0.0002 0 ...
  .. ..$ FS             : num [1:3847] 0 2.51 3.32 0 6.41 ...
  .. ..$ HaplotypeScore : num [1:3847] NA NA NA NA NA NA NA NA NA NA ...
  .. ..$ InbreedingCoeff: num [1:3847] -0.0929 -0.0686 -0.0657 0.205 0.3577 ...
  .. ..$ MLEAC          :Formal class 'CompressedIntegerList' [package "IRanges"] with 5 slots
  .. .. .. ..@ elementType    : chr "integer"
  .. .. .. ..@ elementMetadata: NULL
  .. .. .. ..@ metadata       : list()
  .. .. .. ..@ partitioning   :Formal class 'PartitioningByEnd' [package "IRanges"] with 5 slots
  .. .. .. .. .. ..@ end            : int [1:3847] 1 2 3 4 5 6 7 8 9 10 ...
  .. .. .. .. .. ..@ NAMES          : NULL
  .. .. .. .. .. ..@ elementType    : chr "integer"
  .. .. .. .. .. ..@ elementMetadata: NULL
  .. .. .. .. .. ..@ metadata       : list()
  .. .. .. ..@ unlistData     : int [1:3849] 234 29 16 209 108 105 122 88 6 3 ...
  .. ..$ MLEAF          :Formal class 'CompressedNumericList' [package "IRanges"] with 5 slots
  .. .. .. ..@ elementType    : chr "numeric"
  .. .. .. ..@ elementMetadata: NULL
  .. .. .. ..@ metadata       : list()
  .. .. .. ..@ partitioning   :Formal class 'PartitioningByEnd' [package "IRanges"] with 5 slots
  .. .. .. .. .. ..@ end            : int [1:3847] 1 2 3 4 5 6 7 8 9 10 ...
  .. .. .. .. .. ..@ NAMES          : NULL
  .. .. .. .. .. ..@ elementType    : chr "integer"
  .. .. .. .. .. ..@ elementMetadata: NULL
  .. .. .. .. .. ..@ metadata       : list()
  .. .. .. ..@ unlistData     : num [1:3849] 0.616 0.088 0.043 0.637 0.529 ...
  .. ..$ MQ             : num [1:3847] 60 60 60 59.5 55.1 ...
  .. ..$ MQRankSum      : num [1:3847] -0.025 -0.082 0 0.421 0.358 0.358 0.48 0.55 0.406 -0.718 ...
  .. ..$ QD             : num [1:3847] 18.3 21.4 15 25.7 28.1 ...
  .. ..$ RAW_MQ         : num [1:3847] NA NA NA NA NA NA NA NA NA NA ...
  .. ..$ ReadPosRankSum : num [1:3847] 0.127 0.736 0.406 0 0.736 0.358 0.736 0.55 -0.553 -0.042 ...
  .. ..$ SOR            : num [1:3847] 0.669 0.663 0.87 0.632 0.306 0.768 0.916 0.563 0.564 1.19 ...
  ..@ elementType    : chr "ANY"
  ..@ elementMetadata: NULL
  ..@ metadata       : list()

 

sessionInfo()
R version 3.3.1 (2016-06-21)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.9.5 (Mavericks)

locale:
[1] C

attached base packages:
[1] stats4    parallel  stats     graphics  grDevices utils     datasets
[8] methods   base     

other attached packages:
 [1] lme4_1.1-12                snpStats_1.22.0           
 [3] Matrix_1.2-6               survival_2.39-5           
 [5] VariantAnnotation_1.18.7   Rsamtools_1.24.0          
 [7] Biostrings_2.40.2          XVector_0.12.1            
 [9] SummarizedExperiment_1.2.3 Biobase_2.32.0            
[11] GenomicRanges_1.24.2       GenomeInfoDb_1.8.3        
[13] IRanges_2.6.1              S4Vectors_0.10.2          
[15] BiocGenerics_0.18.0        Ssa.RefSeq.db_1.2         
[17] RSQLite_1.0.0              DBI_0.4-1                 
[19] limma_3.28.17              dplyr_0.5.0               
[21] plyr_1.8.4                 openxlsx_3.0.0            

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.6             nloptr_1.0.4            compiler_3.3.1         
 [4] GenomicFeatures_1.24.5  bitops_1.0-6            tools_3.3.1            
 [7] zlibbioc_1.18.0         biomaRt_2.28.0          nlme_3.1-128           
[10] tibble_1.1              BSgenome_1.40.1         lattice_0.20-33        
[13] rtracklayer_1.32.2      grid_3.3.1              R6_2.1.2               
[16] AnnotationDbi_1.34.4    XML_3.98-1.4            BiocParallel_1.6.3     
[19] minqa_1.2.4             magrittr_1.5            MASS_7.3-45            
[22] GenomicAlignments_1.8.4 splines_3.3.1           assertthat_0.1         
[25] RCurl_1.95-4.8          lazyeval_0.2.0   

 

 

variantannotation subsetting • 943 views
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1
Entering edit mode
@michael-lawrence-3846
Last seen 2.3 years ago
United States

Presumably there are 2 rows with 2 alts and thus 2 AF values.

You can check for this with code like:

which(lengths(info(my_vcf)$AF) > 1)

And you could use expand(my_vcf) to get an object where there is only one alt per row.

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0
Entering edit mode
@fabian-grammes-6591
Last seen 3.6 years ago

Thanks that solves it ! Found two entries with 2 AF values. Really gave me a headache


 

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