This R package provides methods for genetic finemapping in inbred mice by taking advantage of their very high homozygosity rate (>95%).
Method prio
allows to select strain combinations which best refine a specified genetic region. E.g. if a crossing experiment with two inbred mouse strains ‘strain1’ and ‘strain2’ resulted in a QTL, the outputted strain combinations can be used to refine the respective region in further crossing experiments and to select candidate genes.
if(!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("MouseFM")
library(MouseFM)
Available mouse strains
avail_strains()
#> id strain
#> 1 129P2_OlaHsd 129P2/OlaHsd
#> 2 129S1_SvImJ 129S1/SvImJ
#> 3 129S5SvEvBrd 129S5/SvEvBrd
#> 4 A_J A/J
#> 5 AKR_J AKR/J
#> 6 BALB_cJ BALB/cJ
#> 7 BTBR BTBR
#> 8 BUB_BnJ BUB/BnJ
#> 9 C3H_HeH C3H/HeH
#> 10 C3H_HeJ C3H/HeJ
#> 11 C57BL_10J C57BL/10J
#> 12 C57BL_6J C57BL/6J
#> 13 C57BL_6NJ C57BL/6NJ
#> 14 C57BR_cdJ C57BR/cdJ
#> 15 C57L_J C57L/J
#> 16 C58_J C58/J
#> 17 CAST_EiJ CAST/EiJ
#> 18 CBA_J CBA/J
#> 19 DBA_1J DBA/1J
#> 20 DBA_2J DBA/2J
#> 21 FVB_NJ FVB/NJ
#> 22 I_LnJ I/LnJ
#> 23 KK_HiJ KK/HiJ
#> 24 LEWES_EiJ LEWES/EiJ
#> 25 LP_J LP/J
#> 26 MOLF_EiJ MOLF/EiJ
#> 27 NOD_ShiLtJ NOD/ShiLtJ
#> 28 NZB_B1NJ NZB/B1NJ
#> 29 NZO_HlLtJ NZO/HlLtJ
#> 30 NZW_LacJ NZW/LacJ
#> 31 PWK_PhJ PWK/PhJ
#> 32 RF_J RF/J
#> 33 SEA_GnJ SEA/GnJ
#> 34 SPRET_EiJ SPRET/EiJ
#> 35 ST_bJ ST/bJ
#> 36 WSB_EiJ WSB/EiJ
#> 37 ZALENDE_EiJ ZALENDE/EiJ
Prioritize additional mouse strains for a given region which was identified in a crossing experiment with strain1 C57BL_6J and strain2 AKR_J.
df = prio("chr1", start=5000000, end=6000000, strain1="C57BL_6J", strain2="AKR_J")
#> Query chr1:5,000,000-6,000,000
#> Calculate reduction factors...
#> Set size 1: 35 combinations
#> Set size 1: continue with 20 of 35 strains
#> Set size 2: 190 combinations
#> Set size 3: 1,140 combinations
View meta information
comment(df)
#> NULL
Extract the combinations with the best refinement
get_top(df$reduction, n_top=3)
#> strain1 strain2 combination mean min max n
#> 8 C57BL_6J AKR_J C3H_HeH,DBA_1J,SPRET_EiJ 0.8068057 0.7467057 0.9926794 3
#> 7 C57BL_6J AKR_J C3H_HeH,DBA_2J,SPRET_EiJ 0.8068057 0.7467057 0.9926794 3
#> 6 C57BL_6J AKR_J C3H_HeJ,DBA_1J,SPRET_EiJ 0.8068057 0.7467057 0.9926794 3
Create plots
plots = vis_reduction_factors(df$genotypes, df$reduction, 2)
plots[[1]]
plots[[2]]
The output of sessionInfo()
on the system
on which this document was compiled:
sessionInfo()
#> R version 4.1.2 (2021-11-01)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Mojave 10.14.6
#>
#> Matrix products: default
#> BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
#>
#> locale:
#> [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] MouseFM_1.4.1 BiocStyle_2.22.0
#>
#> loaded via a namespace (and not attached):
#> [1] Biobase_2.54.0 httr_1.4.2 tidyr_1.1.4
#> [4] sass_0.4.0 bit64_4.0.5 jsonlite_1.7.2
#> [7] gtools_3.9.2 bslib_0.3.1 assertthat_0.2.1
#> [10] highr_0.9 BiocManager_1.30.16 stats4_4.1.2
#> [13] BiocFileCache_2.2.0 blob_1.2.2 GenomeInfoDbData_1.2.7
#> [16] yaml_2.2.1 progress_1.2.2 pillar_1.6.4
#> [19] RSQLite_2.2.8 rlist_0.4.6.2 glue_1.5.0
#> [22] digest_0.6.28 GenomicRanges_1.46.0 XVector_0.34.0
#> [25] colorspace_2.0-2 plyr_1.8.6 htmltools_0.5.2
#> [28] XML_3.99-0.8 pkgconfig_2.0.3 biomaRt_2.50.0
#> [31] magick_2.7.3 bookdown_0.24 zlibbioc_1.40.0
#> [34] purrr_0.3.4 scales_1.1.1 tibble_3.1.6
#> [37] KEGGREST_1.34.0 farver_2.1.0 generics_0.1.1
#> [40] IRanges_2.28.0 ggplot2_3.3.5 ellipsis_0.3.2
#> [43] cachem_1.0.6 BiocGenerics_0.40.0 magrittr_2.0.1
#> [46] crayon_1.4.2 memoise_2.0.0 evaluate_0.14
#> [49] fansi_0.5.0 xml2_1.3.2 tools_4.1.2
#> [52] data.table_1.14.2 prettyunits_1.1.1 hms_1.1.1
#> [55] lifecycle_1.0.1 stringr_1.4.0 S4Vectors_0.32.2
#> [58] munsell_0.5.0 AnnotationDbi_1.56.2 Biostrings_2.62.0
#> [61] compiler_4.1.2 jquerylib_0.1.4 GenomeInfoDb_1.30.0
#> [64] rlang_0.4.12 grid_4.1.2 RCurl_1.98-1.5
#> [67] rappdirs_0.3.3 bitops_1.0-7 rmarkdown_2.11
#> [70] gtable_0.3.0 DBI_1.1.1 curl_4.3.2
#> [73] reshape2_1.4.4 R6_2.5.1 knitr_1.36
#> [76] dplyr_1.0.7 fastmap_1.1.0 bit_4.0.4
#> [79] utf8_1.2.2 filelock_1.0.2 stringi_1.7.5
#> [82] Rcpp_1.0.7 vctrs_0.3.8 png_0.1-7
#> [85] dbplyr_2.1.1 tidyselect_1.1.1 xfun_0.28