Last updated: 2023-04-17
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Knit directory: Serreze-T1D_Workflow/
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Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-15_peak.marker-UNC26069905_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-15_peak.marker-UNCHS041223_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-16_peak.marker-JAX00070117_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-17_peak.marker-UNC28542319_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-17_peak.marker-UNCJPD006670_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-18_peak.marker-UNC28776739_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-18_peak.marker-UNCHS045594_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-19_peak.marker-UNC30414168_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-1_peak.marker-UNC2031646_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-1_peak.marker-UNCHS003700_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-2_peak.marker-ICR5131_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-2_peak.marker-UNCHS006420_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-3_peak.marker-UNC5667757_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-4_peak.marker-UNC6759992_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-4_peak.marker-UNC6765178_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-5_peak.marker-UNC9889957_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-5_peak.marker-UNC9900273_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-6_peak.marker-UNC10800126_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-6_peak.marker-UNC10832076_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-7_peak.marker-UNCHS020903_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-7_peak.marker-UNCHS021163_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-8_peak.marker-UNC15471847_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-8_peak.marker-UNC15548888_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-9_peak.marker-UNC16231874_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-9_peak.marker-UNC16231874_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-X_peak.marker-UNCHS049472_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_blup_sub_chr-X_peak.marker-UNCHS049472_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-10_peak.marker-UNC18343990_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_genes_chr-11_peak.marker-UNC20070077_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_genes_chr-12_peak.marker-UNC21652584_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-12_peak.marker-UNC21652584_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-13_peak.marker-UNCHS036579_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-13_peak.marker-UNCHS036579_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-14_peak.marker-UNCHS037782_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-14_peak.marker-UNCHS037782_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-15_peak.marker-UNC26069905_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-15_peak.marker-UNCHS041223_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-16_peak.marker-JAX00070117_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-16_peak.marker-JAX00070117_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-17_peak.marker-UNC28542319_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-17_peak.marker-UNCJPD006670_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-18_peak.marker-UNC28776739_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-18_peak.marker-UNCHS045594_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-19_peak.marker-UNC30414168_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_genes_chr-1_peak.marker-UNC2031646_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-1_peak.marker-UNCHS003700_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-2_peak.marker-ICR5131_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-2_peak.marker-UNCHS006420_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-3_peak.marker-UNC5667757_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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Untracked: data/ici-sick.vs.ici-eoi_genes_chr-4_peak.marker-UNC6759992_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-4_peak.marker-UNC6765178_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-5_peak.marker-UNC9889957_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-5_peak.marker-UNC9900273_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-6_peak.marker-UNC10800126_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-6_peak.marker-UNC10832076_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-7_peak.marker-UNCHS020903_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo_mis.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-7_peak.marker-UNCHS021163_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
Untracked: data/ici-sick.vs.ici-eoi_genes_chr-8_peak.marker-UNC15471847_lod.drop-1.5_snpsqc_dis_no-x_updated_7.batches_myo.csv
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File | Version | Author | Date | Message |
---|---|---|---|---|
html | efe4c01 | Belinda Cornes | 2023-04-17 | myocarditis html files 7 batches |
Rmd | 732a0a5 | Belinda Cornes | 2023-04-17 | myocarditis Rmd files 7 batches |
D249-PBS-EOI
, also appears
in the previous group
submitted in Feb 2023]abbreviations for strains: | AB: het; AA: hom |
type of cross: | Backcross |
number of mice phenotyped: | 366 |
total number of mice phenotypes: | 2 [1 binary/1 quantiative] |
phenotypes: | myocarditis status/group [binary] & age of onset [continuous] |
number of mice: | 366 |
number of markers: | 137302 |
covariates: | sex [F: 344; M: 22] ; and others depending on samples used in analysis |
I reran these a couple of different ways as I am not sure why its difficult to get any results
Xcovar
); using sex as a
covariater/qtl2
does not allow for the
inclusion of a kinship matrix in this type of modelThe same as above but removing sex as a covariate (not sure if confounding might be an issue)
same as analysis one but this time kept disproportionate markers (removed low frequency markers). That is, kept sex as covariate.
same as analysis three but removed sex.
suggested by Vivek P.:
ICI vs. PBS
)
SICK vs. EOI
)
SICK vs. EOI
within each drug treatment)
Using ANALYSIS ONE
ICI Sick vs ICI EOI
ICI vs PBS
ICI Myocarditis Yes vs ICI Myocarditis No
PBS Myocarditis Yes vs PBS Myocarditis No
Myocarditis Yes vs Myocarditis No
Hetero: ICI vs PBS
Hetero: ICI Myocarditis Yes vs ICI Myocarditis No
R version 4.2.2 (2022-10-31)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur ... 10.16
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
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] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggrepel_0.9.2 qtlcharts_0.16 qtl2_0.30 broman_0.80
[5] ggplot2_3.4.0 tibble_3.1.8 readxl_1.4.1 cluster_2.1.4
[9] dplyr_1.0.10 optparse_1.7.3 mclust_6.0.0 tidyr_1.2.1
[13] data.table_1.14.6 knitr_1.42 kableExtra_1.3.4 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] Rcpp_1.0.9 svglite_2.1.0 getPass_0.2-2 ps_1.7.2
[5] assertthat_0.2.1 rprojroot_2.0.3 digest_0.6.31 utf8_1.2.2
[9] R6_2.5.1 cellranger_1.1.0 RSQLite_2.2.19 evaluate_0.20
[13] httr_1.4.4 pillar_1.8.1 rlang_1.1.0 rstudioapi_0.14
[17] blob_1.2.3 whisker_0.4.1 callr_3.7.3 jquerylib_0.1.4
[21] rmarkdown_2.21.2 qtl_1.54 webshot_0.5.4 stringr_1.5.0
[25] bit_4.0.5 munsell_0.5.0 compiler_4.2.2 httpuv_1.6.6
[29] xfun_0.38 pkgconfig_2.0.3 systemfonts_1.0.4 htmltools_0.5.5
[33] tidyselect_1.2.0 fansi_1.0.3 viridisLite_0.4.1 withr_2.5.0
[37] later_1.3.0 grid_4.2.2 jsonlite_1.8.4 gtable_0.3.1
[41] lifecycle_1.0.3 DBI_1.1.3 git2r_0.30.1 magrittr_2.0.3
[45] scales_1.2.1 cli_3.6.1 stringi_1.7.12 cachem_1.0.7
[49] fs_1.6.1 promises_1.2.0.1 getopt_1.20.3 xml2_1.3.3
[53] bslib_0.4.2 generics_0.1.3 vctrs_0.6.1 tools_4.2.2
[57] bit64_4.0.5 glue_1.6.2 purrr_0.3.5 parallel_4.2.2
[61] processx_3.8.0 fastmap_1.1.1 yaml_2.3.7 colorspace_2.0-3
[65] rvest_1.0.3 memoise_2.0.1 sass_0.4.5