Last updated: 2021-09-14

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Knit directory: proxyMR/

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These are the previous versions of the repository in which changes were made to the R Markdown (analysis/couple_selection.Rmd) and HTML (docs/couple_selection.html) files. If you've configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd 0365f37 jennysjaarda 2021-09-14 add phenotype and couple selection schematic links
html 7f198c6 Jenny Sjaarda 2021-09-14 Build site.
Rmd e3f688e Jenny Sjaarda 2021-09-14 update some docs
Rmd f8ee7b4 jennysjaarda 2021-09-14 add a few Rmd notebooks

Couples were defined and selected according to the following scheme

An overview of couple selection and exclusions can be seen here.

1 UKBB full sample

The initial UKBB sample comprised of N = 502616 individuals.

2 European, genetic, consenting sample

Each phenotype in the SGG database was filtered for the following criteria based on the genetic qc file (located here: /data/sgg2/jenny/data/UKBB_raw/geno/ukb_sqc_v2.txt):

  • excess.relatives=0
  • putative.sex.chromosome.aneuploidy=0
  • in.white.british.ancestry.subset==1

Redacted samples and participants that removed consent were also excluded. Specifically, redacted samples are any IDs in c(-1, -2, -3), from the same genetic QC sample and the samples which removed consent, according to the exclusion file w16389_20200204.csv.

After filtering, N = 408899 individuals remained.

A few notes on the PHESANT processing:

  • Raw phenotypes in the SGG database were processed according the the PHESANT pipeline.
  • For details on the processing by PHESANT see: https://github.com/astheeggeggs/PHESANT.
  • The pipeline is not the simplest to follow and does a lot of referring to other variables and has been modified slightly based on the data we have.
  • The main thing to note is all continuous variables were transformed to a normal distribution using an inverse normal rank transformation.
  • Each phenotype file contains ID, age, and sex columns (the first 3).
  • Note that this filtering procedure does not necessarily remove related individuals. For this, please use the function 'ukb_gen_samples_to_remove()' from the UKBB r-package.

3 Houshold pairs

Within the European, genetic, consenting sample, we limited to only individuals which came from households with exactly two participants in the UKBB based on the file: /data/sgg2/jenny/data/UKBB_raw/pheno/ukb6881.csv.

After filtering, N = 160694 individuals and N = 80347 couples remained.

4 Unrelated pairs

Household couples defined above were filtered based on kinship (estimate of the kinship coefficient for pair based on the set of markers used in the kinship inference) from the following file: /data/sgg2/jenny/data/UKBB_raw/geno/ukb1638_rel_s488366.dat. Couples were excluded if kinship was > 0.05.

After filtering for relatedness, N = 159504 individuals and N = 79752 couples remained.

5 Heterosexual pairs

Unrelated, household pairs were filtered to only include heterosexual couples.

After removing homosexual pairs, N = 158260 individuals and N = 79130 couples remained.

6 Couple pairs

Finally, using the data at data-field 6141, "How are people in household related to participant", the heterosexual, unrelated, household pairs were filtered to only include couples who both responded Husband, wife, or partner.

After removing non-romantic pairs, N = 150062 individuals and N = 75031 couples remained.


sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: CentOS Linux 7 (Core)

Matrix products: default
BLAS:   /data/sgg2/jenny/bin/R-4.1.0/lib64/R/lib/libRblas.so
LAPACK: /data/sgg2/jenny/bin/R-4.1.0/lib64/R/lib/libRlapack.so

locale:
 [1] LC_CTYPE=en_CA.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_CA.UTF-8        LC_COLLATE=en_CA.UTF-8    
 [5] LC_MONETARY=en_CA.UTF-8    LC_MESSAGES=en_CA.UTF-8   
 [7] LC_PAPER=en_CA.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C       

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

other attached packages:
 [1] forcats_0.5.1      stringr_1.4.0      dplyr_1.0.7        purrr_0.3.4       
 [5] readr_1.4.0        tidyr_1.1.3        tibble_3.1.2       ggplot2_3.3.4     
 [9] tidyverse_1.3.1    targets_0.5.0.9001 workflowr_1.6.2   

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.6        lubridate_1.7.10  ps_1.6.0          assertthat_0.2.1 
 [5] rprojroot_2.0.2   digest_0.6.27     utf8_1.2.1        R6_2.5.0         
 [9] cellranger_1.1.0  backports_1.2.1   reprex_2.0.0      evaluate_0.14    
[13] httr_1.4.2        pillar_1.6.1      rlang_0.4.11      readxl_1.3.1     
[17] rstudioapi_0.13   data.table_1.14.0 whisker_0.4       callr_3.7.0      
[21] rmarkdown_2.9     igraph_1.2.6      munsell_0.5.0     broom_0.7.7      
[25] compiler_4.1.0    httpuv_1.6.1      modelr_0.1.8      xfun_0.24        
[29] pkgconfig_2.0.3   htmltools_0.5.1.1 tidyselect_1.1.1  codetools_0.2-18 
[33] fansi_0.5.0       crayon_1.4.1      dbplyr_2.1.1      withr_2.4.2      
[37] later_1.2.0       grid_4.1.0        jsonlite_1.7.2    gtable_0.3.0     
[41] lifecycle_1.0.0   DBI_1.1.1         git2r_0.28.0      magrittr_2.0.1   
[45] scales_1.1.1      cli_2.5.0         stringi_1.6.2     renv_0.13.2-62   
[49] fs_1.5.0          promises_1.2.0.1  xml2_1.3.2        ellipsis_0.3.2   
[53] generics_0.1.0    vctrs_0.3.8       tools_4.1.0       glue_1.4.2       
[57] hms_1.1.0         processx_3.5.2    yaml_2.2.1        colorspace_2.0-1 
[61] rvest_1.0.0       knitr_1.33        haven_2.4.1