EDIRquery

Introduction

Intragenic exonic deletions are known to contribute to genetic diseases and are often flanked by regions of homology. The Exome Database of Interspersed Repeats (EDIR) was developed to provide an overview of the positions of repetitive structures within the human genome composed of interspersed repeats encompassing a coding sequence. The package EDIRquery provides user-friendly tools to query this database for genes of interest.

Dataset

EDIR provides a dataset of pairwise repeat structures in which both sequences are located within a maximum of 1000 bp from each other, and fulfill one of the following selection criteria:

  • >= 1 repeat located in an exon

  • Both repeats situated in different introns flanking one or more exons

A subset of EDIR is provided as example data, representing a subset of the interspersed repeats data for the gene GAA (ENSG00000171298) on chromosome 17.

To query the full the database, provide the data directory to gene_lookup() in the path parameter.

Usage

Installation

To install this package, enter the following in R:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("EDIRquery")

Then load the package:

library("EDIRquery")

EDIR can easily be queried using the gene_lookup function, using the gene name and additional parameters:

Argument Description Default
gene required: The gene name (ENSEMBLE ID or HGNC symbol) -
length Repeat sequence length, must be between 7 and 20. If NA, results will include all available lengths in dataset for queried gene NA
mindist Minimum spacer distance (bp) between repeats 0
maxdist Maximum spacer distance (bp) between repeats 1000
format Output table format. One of ‘data.frame’, ‘GInteractions’. ‘data.frame’
summary Logical value indicating whether to store summary FALSE
mismatch Logical value indicating whether to allow 1 mismatch in sequence TRUE
path String containing path to directory holding downloaded dataset files. If not provided (path = NA), example subset of data will be used NA

Examples

A summary of the input printed to console, including the gene name, gene length (bp), Ensembl transcript ID, queried distance between repeats (default: 0-1000 bp), and an overview of total results for the given repeat length. Console outputs include runtime.

Example querying the gene “GAA” with repeats of length 7, and allowing for 1 mismatch:

# Summary of results (printed to console)
gene_lookup("GAA", length = 7, mismatch = TRUE)
#>  Parameters
#>  Repeat length:  7 bp
#>  
#>  Gene:            ENSG00000171298 / GAA 
#>  Gene length:     18325 bp
#>  Transcript ID:   ENST00000302262
#>  Distance:        0-1000 bp
#>  Mismatch:        TRUE
#> 
#> 
#>   repeat_length unique_seqs tot_instances tot_structures avg_dist
#> 1             7        5172         10460          14562 486.2603
#>   norm_instances_bp norm_instances_Mb norm_structures_bp norm_structures_Mb
#> 1         0.5708049          570804.9          0.7946521           794652.1
#> 
#> 
#> Runtime: 0.598 sec elapsed

If no length is provided, a summary of all available repeat length results will be printed:

# Summary of results (printed to console)
gene_lookup("GAA", mismatch = TRUE)
#>  Parameters
#> 
#>  
#>  Gene:            ENSG00000171298 / GAA 
#>  Gene length:     18325 bp
#>  Transcript ID:   ENST00000302262
#>  Distance:        0-1000 bp
#>  Mismatch:        TRUE
#> 
#> 
#>    repeat_length unique_seqs tot_instances tot_structures avg_dist
#> 1              7        5172         10460          14562 486.2603
#> 2              8        5677          7592           7062 516.1827
#> 3              9        3160          3461           2226 508.7588
#> 4             10        1172          1227            690 500.2217
#> 5             11         389           399            209 492.5263
#> 6             12         122           124             63 454.6190
#> 7             13          42            42             21 346.2857
#> 8             14          14            14              7 271.1429
#> 9             15           4             4              2  43.0000
#> 10            16           2             2              1  42.0000
#>    norm_instances_bp norm_instances_Mb norm_structures_bp norm_structures_Mb
#> 1       0.5708049113       570804.9113       7.946521e-01       794652.11460
#> 2       0.4142974079       414297.4079       3.853752e-01       385375.17053
#> 3       0.1888676671       188867.6671       1.214734e-01       121473.39700
#> 4       0.0669577080        66957.7080       3.765348e-02        37653.47885
#> 5       0.0217735334        21773.5334       1.140518e-02        11405.18417
#> 6       0.0067667121         6766.7121       3.437926e-03         3437.92633
#> 7       0.0022919509         2291.9509       1.145975e-03         1145.97544
#> 8       0.0007639836          763.9836       3.819918e-04          381.99181
#> 9       0.0002182810          218.2810       1.091405e-04          109.14052
#> 10      0.0001091405          109.1405       5.457026e-05           54.57026
#> 
#> 
#> Runtime: 0.628 sec elapsed

Storing the output in a variable allows viewing of the individual results in the output dataframe:

# Database output of query
results <- gene_lookup("GAA", length = 7, mismatch = TRUE)
#>  Parameters
#>  Repeat length:  7 bp
#>  
#>  Gene:            ENSG00000171298 / GAA 
#>  Gene length:     18325 bp
#>  Transcript ID:   ENST00000302262
#>  Distance:        0-1000 bp
#>  Mismatch:        TRUE
#> 
#> 
#>   repeat_length unique_seqs tot_instances tot_structures avg_dist
#> 1             7        5172         10460          14562 486.2603
#>   norm_instances_bp norm_instances_Mb norm_structures_bp norm_structures_Mb
#> 1         0.5708049          570804.9          0.7946521           794652.1
#> 
#> 
#> Runtime: 0.476 sec elapsed
head(results)
#>      chromosome repeat_length   start1     end1   start2     end2 repeat_seq1
#> 3930         17             7 80101595 80101601 80101734 80101740     CCGCGGG
#> 3931         17             7 80105602 80105608 80105843 80105849     CCGAGGC
#> 3932         17             7 80110005 80110011 80110061 80110067     CGGAGGG
#> 3933         17             7 80118254 80118260 80118270 80118276     CCAAGGG
#> 3934         17             7 80118270 80118276 80118318 80118324     CCGAGGG
#> 3935         17             7 80118270 80118276 80118533 80118539     CCGAGGG
#>      intron_exon1 repeat_seq2 intron_exon2 distance ensembl_gene_id hgnc_symbol
#> 3930           E1     CCGCGGG           E1      132 ENSG00000171298         GAA
#> 3931           I2     CCGAGGA           E3      234 ENSG00000171298         GAA
#> 3932           E9     GCGAGGG           I9       49 ENSG00000171298         GAA
#> 3933          E18     CCGAGGG          E18        9 ENSG00000171298         GAA
#> 3934          E18     GCGAGGG          E18       41 ENSG00000171298         GAA
#> 3935          E18     CAGAGGG          I18      256 ENSG00000171298         GAA
#>             gene_range ensembl_transcript_id  transcript_range
#> 3930 80101556-80119881       ENST00000302262 80101581-80101890
#> 3931 80101556-80119881       ENST00000302262 80105133-80105748
#> 3932 80101556-80119881       ENST00000302262 80109945-80110055
#> 3933 80101556-80119881       ENST00000302262 80118193-80118357
#> 3934 80101556-80119881       ENST00000302262 80118193-80118357
#> 3935 80101556-80119881       ENST00000302262 80118193-80118357
#>                   feature mismatch
#> 3930            same exon        0
#> 3931 spanning intron-exon        1
#> 3932 spanning intron-exon        1
#> 3933            same exon        1
#> 3934            same exon        1
#> 3935 spanning intron-exon        1

Changing the format parameter to GInteractions returns a GenomicInteractions object instead of a dataframe:

# Database output of query
results <- gene_lookup("GAA", length = 7, format = "GInteractions", mismatch = TRUE)
#>  Parameters
#>  Repeat length:  7 bp
#>  
#>  Gene:            ENSG00000171298 / GAA 
#>  Gene length:     18325 bp
#>  Transcript ID:   ENST00000302262
#>  Distance:        0-1000 bp
#>  Mismatch:        TRUE
#> 
#> 
#>   repeat_length unique_seqs tot_instances tot_structures avg_dist
#> 1             7        5172         10460          14562 486.2603
#>   norm_instances_bp norm_instances_Mb norm_structures_bp norm_structures_Mb
#> 1         0.5708049          570804.9          0.7946521           794652.1
#> 
#> 
#> Runtime: 0.592 sec elapsed
head(results)
#> GInteractions object with 6 interactions and 11 metadata columns:
#>       seqnames1           ranges1     seqnames2           ranges2 |
#>           <Rle>         <IRanges>         <Rle>         <IRanges> |
#>   [1]        17 80101595-80101601 ---        17 80101734-80101740 |
#>   [2]        17 80105602-80105608 ---        17 80105843-80105849 |
#>   [3]        17 80110005-80110011 ---        17 80110061-80110067 |
#>   [4]        17 80118254-80118260 ---        17 80118270-80118276 |
#>   [5]        17 80118270-80118276 ---        17 80118318-80118324 |
#>   [6]        17 80118270-80118276 ---        17 80118533-80118539 |
#>       anchor1.repeat_seq1 anchor1.intron_exon1 anchor2.repeat_seq2
#>               <character>          <character>         <character>
#>   [1]             CCGCGGG                   E1             CCGCGGG
#>   [2]             CCGAGGC                   I2             CCGAGGA
#>   [3]             CGGAGGG                   E9             GCGAGGG
#>   [4]             CCAAGGG                  E18             CCGAGGG
#>   [5]             CCGAGGG                  E18             GCGAGGG
#>   [6]             CCGAGGG                  E18             CAGAGGG
#>       anchor2.intron_exon2 ensembl_gene_id hgnc_symbol        gene_range
#>                <character>     <character> <character>       <character>
#>   [1]                   E1 ENSG00000171298         GAA 80101556-80119881
#>   [2]                   E3 ENSG00000171298         GAA 80101556-80119881
#>   [3]                   I9 ENSG00000171298         GAA 80101556-80119881
#>   [4]                  E18 ENSG00000171298         GAA 80101556-80119881
#>   [5]                  E18 ENSG00000171298         GAA 80101556-80119881
#>   [6]                  I18 ENSG00000171298         GAA 80101556-80119881
#>       ensembl_transcript_id  transcript_range              feature  mismatch
#>                 <character>       <character>          <character> <integer>
#>   [1]       ENST00000302262 80101581-80101890            same exon         0
#>   [2]       ENST00000302262 80105133-80105748 spanning intron-exon         1
#>   [3]       ENST00000302262 80109945-80110055 spanning intron-exon         1
#>   [4]       ENST00000302262 80118193-80118357            same exon         1
#>   [5]       ENST00000302262 80118193-80118357            same exon         1
#>   [6]       ENST00000302262 80118193-80118357 spanning intron-exon         1
#>   -------
#>   regions: 10460 ranges and 0 metadata columns
#>   seqinfo: 1 sequence from an unspecified genome; no seqlengths

Session info

# Database output of query
sessionInfo()
#> R version 4.4.1 (2024-06-14)
#> Platform: x86_64-pc-linux-gnu
#> Running under: Ubuntu 24.04 LTS
#> 
#> Matrix products: default
#> BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3 
#> LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so;  LAPACK version 3.12.0
#> 
#> locale:
#>  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
#>  [3] LC_TIME=en_US.UTF-8        LC_COLLATE=C              
#>  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
#>  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
#>  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
#> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
#> 
#> time zone: Etc/UTC
#> tzcode source: system (glibc)
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] EDIRquery_1.5.0 rmarkdown_2.28 
#> 
#> loaded via a namespace (and not attached):
#>  [1] utf8_1.2.4                  sass_0.4.9                 
#>  [3] SparseArray_1.5.31          lattice_0.22-6             
#>  [5] hms_1.1.3                   digest_0.6.37              
#>  [7] magrittr_2.0.3              evaluate_0.24.0            
#>  [9] grid_4.4.1                  fastmap_1.2.0              
#> [11] jsonlite_1.8.8              Matrix_1.7-0               
#> [13] GenomeInfoDb_1.41.1         httr_1.4.7                 
#> [15] fansi_1.0.6                 UCSC.utils_1.1.0           
#> [17] jquerylib_0.1.4             abind_1.4-5                
#> [19] cli_3.6.3                   rlang_1.1.4                
#> [21] crayon_1.5.3                XVector_0.45.0             
#> [23] Biobase_2.65.1              bit64_4.0.5                
#> [25] cachem_1.1.0                DelayedArray_0.31.11       
#> [27] yaml_2.3.10                 S4Arrays_1.5.7             
#> [29] tools_4.4.1                 tzdb_0.4.0                 
#> [31] GenomeInfoDbData_1.2.12     InteractionSet_1.33.0      
#> [33] SummarizedExperiment_1.35.1 BiocGenerics_0.51.0        
#> [35] buildtools_1.0.0            vctrs_0.6.5                
#> [37] R6_2.5.1                    matrixStats_1.3.0          
#> [39] stats4_4.4.1                lifecycle_1.0.4            
#> [41] zlibbioc_1.51.1             bit_4.0.5                  
#> [43] tictoc_1.2.1                S4Vectors_0.43.2           
#> [45] IRanges_2.39.2              vroom_1.6.5                
#> [47] pkgconfig_2.0.3             bslib_0.8.0                
#> [49] pillar_1.9.0                glue_1.7.0                 
#> [51] Rcpp_1.0.13                 tidyselect_1.2.1           
#> [53] xfun_0.47                   tibble_3.2.1               
#> [55] GenomicRanges_1.57.1        sys_3.4.2                  
#> [57] MatrixGenerics_1.17.0       knitr_1.48                 
#> [59] htmltools_0.5.8.1           maketools_1.3.0            
#> [61] readr_2.1.5                 compiler_4.4.1