Compare by covariate and visit and generate feature estimates - AP vs. WP

workflowr

• Summary
• Checks
• Past versions

Last updated: 2024-09-21

Checks: 6 1

Knit directory: madi-project3-sdy8003-pertussis-thailand/

This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.

---

R Markdown file: uncommitted changes

The R Markdown is untracked by Git. To know which version of the R Markdown file created these results, you’ll want to first commit it to the Git repo. If you’re still working on the analysis, you can ignore this warning. When you’re finished, you can run wflow_publish to commit the R Markdown file and build the HTML.

Environment: empty

Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

Seed: set.seed(20231106)

The command set.seed(20231106) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

Session information: recorded

Great job! Recording the operating system, R version, and package versions is critical for reproducibility.

Cache: none

Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.

File paths: relative

Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.

Repository version: 2ab8fdd

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version 2ab8fdd. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:

Ignored files:
    Ignored:    .RData
    Ignored:    .Renviron
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    8clusters-vaccinated-APvs.WP-IgGStandardized.pdf
    Ignored:    NULL
    Ignored:    code/cluster_functions_lisa.R
    Ignored:    output/

Untracked files:
    Untracked:  analysis/all_feature_umap_apwp.Rmd
    Untracked:  analysis/all_feature_umap_matpm.Rmd
    Untracked:  analysis/boxplot_covariate_apwp.Rmd
    Untracked:  analysis/dim_reduc_summary_apwp.Rmd
    Untracked:  analysis/dim_reduc_summary_matpm.Rmd
    Untracked:  analysis/feature_summary_apwp.Rmd
    Untracked:  code/cluster_workflowr.R
    Untracked:  code/cstack_store_apwp_vaccinated_boosted.RData
    Untracked:  code/cstack_store_matpm_vaccinated_boosted.RData
    Untracked:  code/forestplot_functions.R
    Untracked:  code/forestplot_functions_lisa.R
    Untracked:  code/scot_tdata.rds
    Untracked:  code/tanglegram_function_alec.R
    Untracked:  code/tdata_rxna_stand_igg_apwp_noEL7.RData

Unstaged changes:
    Modified:   analysis/boxplot_loops_apwp.Rmd
    Deleted:    analysis/cluster_workflowr.R
    Modified:   analysis/feature_estimates_apwp.Rmd
    Modified:   analysis/feature_estimates_matpm.Rmd
    Modified:   analysis/index_apwp.Rmd
    Modified:   analysis/matpm.Rmd
    Modified:   code/boxplot_functions.R
    Modified:   code/connection_function.R
    Deleted:    code/forest_plot_functions.R

Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.

---

There are no past versions. Publish this analysis with wflow_publish() to start tracking its development.

---

Covariate associations with individual features

arm_name

Visit: vaccinated

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	WP	AP		p=0.861	1
DT_ADCP	WP	AP		p=0.861	1
DT_ADNP	WP	AP		p=0.230	1
DT_FcgR2a	WP	AP		p=0.634	6
DT_FcgR3b	WP	AP		p=0.624	6
DT_IgG1	WP	AP		p=0.939	6
DT_IgG2	WP	AP		p<0.001	7
DT_IgG3	WP	AP		p=0.080	2
DT_IgG4	WP	AP		p<0.001	7
FHA_ADCD	WP	AP		p=0.723	1
FHA_ADCP	WP	AP		p=0.832	3
FHA_ADNP	WP	AP		p=0.114	3
FHA_FcgR2a	WP	AP		p=0.869	3
FHA_FcgR3b	WP	AP		p=0.861	3
FHA_IgG1	WP	AP		p=0.242	3
FHA_IgG2	WP	AP		p<0.001	7
FHA_IgG3	WP	AP		p=0.865	2
FHA_IgG4	WP	AP		p<0.001	7
PRN_ADCD	WP	AP		p=0.410	1
PRN_ADCP	WP	AP		p=0.242	4
PRN_ADNP	WP	AP		p=0.634	4
PRN_FcgR2a	WP	AP		p=0.436	4
PRN_FcgR3b	WP	AP		p=0.374	4
PRN_IgG1	WP	AP		p=0.737	4
PRN_IgG2	WP	AP		p=0.002	7
PRN_IgG3	WP	AP		p=0.529	2
PRN_IgG4	WP	AP		p=0.050	7
PT_ADCD	WP	AP		p=0.230	2
PT_ADCP	WP	AP		p=0.939	2
PT_ADNP	WP	AP		p=0.405	2
PT_FcgR2a	WP	AP		p=0.230	2
PT_FcgR3b	WP	AP		p=0.230	2
PT_IgG1	WP	AP		p=0.939	2
PT_IgG2	WP	AP		p<0.001	7
PT_IgG3	WP	AP		p=0.853	2
PT_IgG4	WP	AP		p<0.001	7
TT_ADCD	WP	AP		p=0.648	1
TT_ADCP	WP	AP		p=0.356	5
TT_ADNP	WP	AP		p<0.001	5
TT_FcgR2a	WP	AP		p=0.698	5
TT_FcgR3b	WP	AP		p=0.127	5
TT_IgG1	WP	AP		p=0.105	5
TT_IgG2	WP	AP		p<0.001	7
TT_IgG3	WP	AP		p=0.529	2
TT_IgG4	WP	AP		p=0.008	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	WP	AP		p=0.805	1
DT_ADCP	WP	AP		p=0.539	2
DT_ADNP	WP	AP		p=0.134	3
DT_FcgR2a	WP	AP		p=0.988	1
DT_FcgR3b	WP	AP		p=0.921	1
DT_IgG	WP	AP		p=0.043	4
DT_IgG1	WP	AP		p=0.189	5
DT_IgG2	WP	AP		p<0.001	6
DT_IgG3	WP	AP		p=0.012	7
DT_IgG4	WP	AP		p<0.001	6
FHA_ADCD	WP	AP		p=0.024	1
FHA_ADCP	WP	AP		p=0.059	3
FHA_ADNP	WP	AP		p=0.988	3
FHA_FcgR2a	WP	AP		p=0.051	4
FHA_FcgR3b	WP	AP		p=0.022	4
FHA_IgG	WP	AP		p<0.001	4
FHA_IgG1	WP	AP		p<0.001	5
FHA_IgG2	WP	AP		p<0.001	6
FHA_IgG3	WP	AP		p=0.012	7
FHA_IgG4	WP	AP		p<0.001	6
PRN_ADCD	WP	AP		p=0.155	1
PRN_ADCP	WP	AP		p=0.147	3
PRN_ADNP	WP	AP		p=0.049	2
PRN_FcgR2a	WP	AP		p=0.155	4
PRN_FcgR3b	WP	AP		p=0.051	4
PRN_IgG	WP	AP		p<0.001	4
PRN_IgG1	WP	AP		p=0.001	5
PRN_IgG2	WP	AP		p<0.001	6
PRN_IgG3	WP	AP		p=0.002	7
PRN_IgG4	WP	AP		p<0.001	6
PT_ADCD	WP	AP		p=0.022	7
PT_ADCP	WP	AP		p=0.071	7
PT_ADNP	WP	AP		p=0.740	7
PT_FcgR2a	WP	AP		p=0.090	7
PT_FcgR3b	WP	AP		p=0.134	7
PT_IgG	WP	AP		p=0.053	4
PT_IgG1	WP	AP		p=0.043	1
PT_IgG2	WP	AP		p<0.001	6
PT_IgG3	WP	AP		p=0.293	7
PT_IgG4	WP	AP		p<0.001	6
TT_ADCD	WP	AP		p=0.096	1
TT_ADCP	WP	AP		p=0.114	1
TT_ADNP	WP	AP		p<0.001	1
TT_FcgR2a	WP	AP		p=0.020	1
TT_FcgR3b	WP	AP		p=0.002	4
TT_IgG	WP	AP		p=0.136	4
TT_IgG1	WP	AP		p=0.029	5
TT_IgG2	WP	AP		p<0.001	6
TT_IgG3	WP	AP		p=0.955	7
TT_IgG4	WP	AP		p=0.005	6

Visit: boosted

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	WP	AP		p=0.767	1
DT_ADCP	WP	AP		p=0.826	2
DT_ADNP	WP	AP		p=0.176	2
DT_FcgR2a	WP	AP		p=0.874	5
DT_FcgR3b	WP	AP		p=0.085	5
DT_IgG1	WP	AP		p=0.488	5
DT_IgG2	WP	AP		p<0.001	7
DT_IgG3	WP	AP		p=0.085	5
DT_IgG4	WP	AP		p=0.085	7
FHA_ADCD	WP	AP		p=0.176	1
FHA_ADCP	WP	AP		p=0.634	3
FHA_ADNP	WP	AP		p=0.563	3
FHA_FcgR2a	WP	AP		p<0.001	3
FHA_FcgR3b	WP	AP		p=0.052	3
FHA_IgG1	WP	AP		p=0.038	3
FHA_IgG2	WP	AP		p<0.001	7
FHA_IgG3	WP	AP		p=0.270	6
FHA_IgG4	WP	AP		p<0.001	7
PRN_ADCD	WP	AP		p=0.767	1
PRN_ADCP	WP	AP		p=0.004	3
PRN_ADNP	WP	AP		p=0.819	5
PRN_FcgR2a	WP	AP		p=0.767	3
PRN_FcgR3b	WP	AP		p=0.014	3
PRN_IgG1	WP	AP		p=0.520	3
PRN_IgG2	WP	AP		p<0.001	7
PRN_IgG3	WP	AP		p=0.767	6
PRN_IgG4	WP	AP		p<0.001	7
PT_ADCD	WP	AP		p=0.775	1
PT_ADCP	WP	AP		p=0.270	4
PT_ADNP	WP	AP		p=0.841	5
PT_FcgR2a	WP	AP		p=0.402	4
PT_FcgR3b	WP	AP		p=0.841	4
PT_IgG1	WP	AP		p=0.052	4
PT_IgG2	WP	AP		p<0.001	7
PT_IgG3	WP	AP		p=0.767	4
PT_IgG4	WP	AP		p<0.001	7
TT_ADCD	WP	AP		p=0.487	1
TT_ADCP	WP	AP		p=0.099	2
TT_ADNP	WP	AP		p=0.008	2
TT_FcgR2a	WP	AP		p=0.357	2
TT_FcgR3b	WP	AP		p=0.004	2
TT_IgG1	WP	AP		p=0.440	6
TT_IgG2	WP	AP		p<0.001	7
TT_IgG3	WP	AP		p=0.520	6
TT_IgG4	WP	AP		p<0.001	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	WP	AP		p=0.765	1
DT_ADCP	WP	AP		p=0.943	2
DT_ADNP	WP	AP		p=0.118	2
DT_FcgR2a	WP	AP		p=0.856	3
DT_FcgR3b	WP	AP		p=0.206	3
DT_IgG	WP	AP		p=0.735	3
DT_IgG1	WP	AP		p=0.943	2
DT_IgG2	WP	AP		p<0.001	4
DT_IgG3	WP	AP		p=0.086	5
DT_IgG4	WP	AP		p=0.065	6
FHA_ADCD	WP	AP		p=0.026	1
FHA_ADCP	WP	AP		p=0.056	7
FHA_ADNP	WP	AP		p=0.003	6
FHA_FcgR2a	WP	AP		p<0.001	6
FHA_FcgR3b	WP	AP		p=0.001	6
FHA_IgG	WP	AP		p=0.002	3
FHA_IgG1	WP	AP		p<0.001	2
FHA_IgG2	WP	AP		p<0.001	4
FHA_IgG3	WP	AP		p=0.032	5
FHA_IgG4	WP	AP		p<0.001	4
PRN_ADCD	WP	AP		p=0.187	1
PRN_ADCP	WP	AP		p=0.856	7
PRN_ADNP	WP	AP		p=0.026	3
PRN_FcgR2a	WP	AP		p=0.004	3
PRN_FcgR3b	WP	AP		p=0.007	3
PRN_IgG	WP	AP		p<0.001	3
PRN_IgG1	WP	AP		p<0.001	2
PRN_IgG2	WP	AP		p<0.001	4
PRN_IgG3	WP	AP		p=0.431	5
PRN_IgG4	WP	AP		p<0.001	4
PT_ADCD	WP	AP		p=0.765	1
PT_ADCP	WP	AP		p=0.451	3
PT_ADNP	WP	AP		p=0.771	3
PT_FcgR2a	WP	AP		p=0.543	3
PT_FcgR3b	WP	AP		p=0.856	3
PT_IgG	WP	AP		p=0.765	3
PT_IgG1	WP	AP		p=0.334	2
PT_IgG2	WP	AP		p<0.001	4
PT_IgG3	WP	AP		p=0.794	6
PT_IgG4	WP	AP		p<0.001	4
TT_ADCD	WP	AP		p=0.357	1
TT_ADCP	WP	AP		p=0.117	7
TT_ADNP	WP	AP		p=0.003	3
TT_FcgR2a	WP	AP		p=0.308	1
TT_FcgR3b	WP	AP		p<0.001	3
TT_IgG	WP	AP		p=0.025	3
TT_IgG1	WP	AP		p=0.026	2
TT_IgG2	WP	AP		p<0.001	4
TT_IgG3	WP	AP		p=0.796	5
TT_IgG4	WP	AP		p<0.001	4

infant_sex

Visit: vaccinated

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Male	Female		p=0.865	1
DT_ADCP	Male	Female		p=0.865	1
DT_ADNP	Male	Female		p=0.865	1
DT_FcgR2a	Male	Female		p=0.934	6
DT_FcgR3b	Male	Female		p=0.944	6
DT_IgG1	Male	Female		p=0.934	6
DT_IgG2	Male	Female		p=0.650	7
DT_IgG3	Male	Female		p=0.944	2
DT_IgG4	Male	Female		p=0.944	7
FHA_ADCD	Male	Female		p=0.918	1
FHA_ADCP	Male	Female		p=0.934	3
FHA_ADNP	Male	Female		p=0.969	3
FHA_FcgR2a	Male	Female		p=0.969	3
FHA_FcgR3b	Male	Female		p=0.969	3
FHA_IgG1	Male	Female		p=0.944	3
FHA_IgG2	Male	Female		p=0.865	7
FHA_IgG3	Male	Female		p=0.865	2
FHA_IgG4	Male	Female		p=0.944	7
PRN_ADCD	Male	Female		p=0.865	1
PRN_ADCP	Male	Female		p=0.969	4
PRN_ADNP	Male	Female		p=0.969	4
PRN_FcgR2a	Male	Female		p=0.865	4
PRN_FcgR3b	Male	Female		p=0.969	4
PRN_IgG1	Male	Female		p=0.865	4
PRN_IgG2	Male	Female		p=0.969	7
PRN_IgG3	Male	Female		p=0.969	2
PRN_IgG4	Male	Female		p=0.944	7
PT_ADCD	Male	Female		p=0.969	2
PT_ADCP	Male	Female		p=0.969	2
PT_ADNP	Male	Female		p=0.934	2
PT_FcgR2a	Male	Female		p=0.944	2
PT_FcgR3b	Male	Female		p=0.969	2
PT_IgG1	Male	Female		p=0.969	2
PT_IgG2	Male	Female		p=0.650	7
PT_IgG3	Male	Female		p=0.865	2
PT_IgG4	Male	Female		p=0.969	7
TT_ADCD	Male	Female		p=0.865	1
TT_ADCP	Male	Female		p=0.944	5
TT_ADNP	Male	Female		p=0.865	5
TT_FcgR2a	Male	Female		p=0.934	5
TT_FcgR3b	Male	Female		p=0.944	5
TT_IgG1	Male	Female		p=0.988	5
TT_IgG2	Male	Female		p=0.865	7
TT_IgG3	Male	Female		p=0.934	2
TT_IgG4	Male	Female		p=0.969	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Male	Female		p=0.795	1
DT_ADCP	Male	Female		p=0.795	2
DT_ADNP	Male	Female		p=0.795	3
DT_FcgR2a	Male	Female		p=0.898	1
DT_FcgR3b	Male	Female		p=0.902	1
DT_IgG	Male	Female		p=0.795	4
DT_IgG1	Male	Female		p=0.795	5
DT_IgG2	Male	Female		p=0.510	6
DT_IgG3	Male	Female		p=0.898	7
DT_IgG4	Male	Female		p=0.848	6
FHA_ADCD	Male	Female		p=0.795	1
FHA_ADCP	Male	Female		p=0.955	3
FHA_ADNP	Male	Female		p=0.955	3
FHA_FcgR2a	Male	Female		p=0.893	4
FHA_FcgR3b	Male	Female		p=0.898	4
FHA_IgG	Male	Female		p=0.795	4
FHA_IgG1	Male	Female		p=0.795	5
FHA_IgG2	Male	Female		p=0.795	6
FHA_IgG3	Male	Female		p=0.795	7
FHA_IgG4	Male	Female		p=0.795	6
PRN_ADCD	Male	Female		p=0.893	1
PRN_ADCP	Male	Female		p=0.795	3
PRN_ADNP	Male	Female		p=0.795	2
PRN_FcgR2a	Male	Female		p=0.955	4
PRN_FcgR3b	Male	Female		p=0.795	4
PRN_IgG	Male	Female		p=0.795	4
PRN_IgG1	Male	Female		p=0.795	5
PRN_IgG2	Male	Female		p=0.795	6
PRN_IgG3	Male	Female		p=0.950	7
PRN_IgG4	Male	Female		p=0.795	6
PT_ADCD	Male	Female		p=0.898	7
PT_ADCP	Male	Female		p=0.902	7
PT_ADNP	Male	Female		p=0.795	7
PT_FcgR2a	Male	Female		p=0.795	7
PT_FcgR3b	Male	Female		p=0.795	7
PT_IgG	Male	Female		p=0.795	4
PT_IgG1	Male	Female		p=0.795	1
PT_IgG2	Male	Female		p=0.722	6
PT_IgG3	Male	Female		p=0.795	7
PT_IgG4	Male	Female		p=0.955	6
TT_ADCD	Male	Female		p=0.795	1
TT_ADCP	Male	Female		p=0.893	1
TT_ADNP	Male	Female		p=0.795	1
TT_FcgR2a	Male	Female		p=0.795	1
TT_FcgR3b	Male	Female		p=0.795	4
TT_IgG	Male	Female		p=0.902	4
TT_IgG1	Male	Female		p=0.955	5
TT_IgG2	Male	Female		p=0.795	6
TT_IgG3	Male	Female		p=0.795	7
TT_IgG4	Male	Female		p=0.902	6

Visit: boosted

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Male	Female		p=0.917	1
DT_ADCP	Male	Female		p=0.917	2
DT_ADNP	Male	Female		p=0.797	2
DT_FcgR2a	Male	Female		p=0.974	5
DT_FcgR3b	Male	Female		p=0.724	5
DT_IgG1	Male	Female		p=0.906	5
DT_IgG2	Male	Female		p=0.472	7
DT_IgG3	Male	Female		p=0.917	5
DT_IgG4	Male	Female		p=0.472	7
FHA_ADCD	Male	Female		p=0.917	1
FHA_ADCP	Male	Female		p=0.906	3
FHA_ADNP	Male	Female		p=0.917	3
FHA_FcgR2a	Male	Female		p=0.869	3
FHA_FcgR3b	Male	Female		p=0.917	3
FHA_IgG1	Male	Female		p=0.472	3
FHA_IgG2	Male	Female		p=0.472	7
FHA_IgG3	Male	Female		p=0.906	6
FHA_IgG4	Male	Female		p=0.472	7
PRN_ADCD	Male	Female		p=0.917	1
PRN_ADCP	Male	Female		p=0.944	3
PRN_ADNP	Male	Female		p=0.938	5
PRN_FcgR2a	Male	Female		p=0.906	3
PRN_FcgR3b	Male	Female		p=0.906	3
PRN_IgG1	Male	Female		p=0.472	3
PRN_IgG2	Male	Female		p=0.724	7
PRN_IgG3	Male	Female		p=0.950	6
PRN_IgG4	Male	Female		p=0.797	7
PT_ADCD	Male	Female		p=0.917	1
PT_ADCP	Male	Female		p=0.797	4
PT_ADNP	Male	Female		p=0.797	5
PT_FcgR2a	Male	Female		p=0.906	4
PT_FcgR3b	Male	Female		p=0.917	4
PT_IgG1	Male	Female		p=0.906	4
PT_IgG2	Male	Female		p=0.655	7
PT_IgG3	Male	Female		p=0.917	4
PT_IgG4	Male	Female		p=0.724	7
TT_ADCD	Male	Female		p=0.978	1
TT_ADCP	Male	Female		p=0.906	2
TT_ADNP	Male	Female		p=0.818	2
TT_FcgR2a	Male	Female		p=0.917	2
TT_FcgR3b	Male	Female		p=0.906	2
TT_IgG1	Male	Female		p=0.472	6
TT_IgG2	Male	Female		p=0.797	7
TT_IgG3	Male	Female		p=0.906	6
TT_IgG4	Male	Female		p=0.472	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Male	Female		p=0.976	1
DT_ADCP	Male	Female		p=0.976	2
DT_ADNP	Male	Female		p=0.892	2
DT_FcgR2a	Male	Female		p=0.919	3
DT_FcgR3b	Male	Female		p=0.892	3
DT_IgG	Male	Female		p=0.976	3
DT_IgG1	Male	Female		p=0.905	2
DT_IgG2	Male	Female		p=0.700	4
DT_IgG3	Male	Female		p=0.976	5
DT_IgG4	Male	Female		p=0.700	6
FHA_ADCD	Male	Female		p=0.924	1
FHA_ADCP	Male	Female		p=0.924	7
FHA_ADNP	Male	Female		p=0.976	6
FHA_FcgR2a	Male	Female		p=0.892	6
FHA_FcgR3b	Male	Female		p=0.919	6
FHA_IgG	Male	Female		p=0.924	3
FHA_IgG1	Male	Female		p=0.700	2
FHA_IgG2	Male	Female		p=0.700	4
FHA_IgG3	Male	Female		p=0.924	5
FHA_IgG4	Male	Female		p=0.700	4
PRN_ADCD	Male	Female		p=0.924	1
PRN_ADCP	Male	Female		p=0.924	7
PRN_ADNP	Male	Female		p=0.919	3
PRN_FcgR2a	Male	Female		p=0.919	3
PRN_FcgR3b	Male	Female		p=0.892	3
PRN_IgG	Male	Female		p=0.924	3
PRN_IgG1	Male	Female		p=0.700	2
PRN_IgG2	Male	Female		p=0.700	4
PRN_IgG3	Male	Female		p=0.976	5
PRN_IgG4	Male	Female		p=0.700	4
PT_ADCD	Male	Female		p=0.976	1
PT_ADCP	Male	Female		p=0.700	3
PT_ADNP	Male	Female		p=0.797	3
PT_FcgR2a	Male	Female		p=0.919	3
PT_FcgR3b	Male	Female		p=0.919	3
PT_IgG	Male	Female		p=0.924	3
PT_IgG1	Male	Female		p=0.976	2
PT_IgG2	Male	Female		p=0.700	4
PT_IgG3	Male	Female		p=0.924	6
PT_IgG4	Male	Female		p=0.700	4
TT_ADCD	Male	Female		p=0.976	1
TT_ADCP	Male	Female		p=0.924	7
TT_ADNP	Male	Female		p=0.919	3
TT_FcgR2a	Male	Female		p=0.978	1
TT_FcgR3b	Male	Female		p=0.924	3
TT_IgG	Male	Female		p=0.712	3
TT_IgG1	Male	Female		p=0.924	2
TT_IgG2	Male	Female		p=0.797	4
TT_IgG3	Male	Female		p=0.924	5
TT_IgG4	Male	Female		p=0.700	4

delivery_mode

Visit: vaccinated

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Vaginal Delivery	Caesarian Section		p=0.976	1
DT_ADCP	Vaginal Delivery	Caesarian Section		p=0.976	1
DT_ADNP	Vaginal Delivery	Caesarian Section		p=0.930	1
DT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.930	6
DT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.930	6
DT_IgG1	Vaginal Delivery	Caesarian Section		p=0.930	6
DT_IgG2	Vaginal Delivery	Caesarian Section		p=0.919	7
DT_IgG3	Vaginal Delivery	Caesarian Section		p=0.919	2
DT_IgG4	Vaginal Delivery	Caesarian Section		p=0.919	7
FHA_ADCD	Vaginal Delivery	Caesarian Section		p=0.976	1
FHA_ADCP	Vaginal Delivery	Caesarian Section		p=0.930	3
FHA_ADNP	Vaginal Delivery	Caesarian Section		p=0.964	3
FHA_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.930	3
FHA_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.976	3
FHA_IgG1	Vaginal Delivery	Caesarian Section		p=0.976	3
FHA_IgG2	Vaginal Delivery	Caesarian Section		p=0.930	7
FHA_IgG3	Vaginal Delivery	Caesarian Section		p=0.919	2
FHA_IgG4	Vaginal Delivery	Caesarian Section		p=0.844	7
PRN_ADCD	Vaginal Delivery	Caesarian Section		p=0.919	1
PRN_ADCP	Vaginal Delivery	Caesarian Section		p=0.988	4
PRN_ADNP	Vaginal Delivery	Caesarian Section		p=0.985	4
PRN_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.919	4
PRN_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.919	4
PRN_IgG1	Vaginal Delivery	Caesarian Section		p=0.976	4
PRN_IgG2	Vaginal Delivery	Caesarian Section		p=0.930	7
PRN_IgG3	Vaginal Delivery	Caesarian Section		p=0.930	2
PRN_IgG4	Vaginal Delivery	Caesarian Section		p=0.844	7
PT_ADCD	Vaginal Delivery	Caesarian Section		p=0.978	2
PT_ADCP	Vaginal Delivery	Caesarian Section		p=0.919	2
PT_ADNP	Vaginal Delivery	Caesarian Section		p=0.930	2
PT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.919	2
PT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.930	2
PT_IgG1	Vaginal Delivery	Caesarian Section		p=0.930	2
PT_IgG2	Vaginal Delivery	Caesarian Section		p=0.844	7
PT_IgG3	Vaginal Delivery	Caesarian Section		p=0.930	2
PT_IgG4	Vaginal Delivery	Caesarian Section		p=0.919	7
TT_ADCD	Vaginal Delivery	Caesarian Section		p=0.930	1
TT_ADCP	Vaginal Delivery	Caesarian Section		p=0.985	5
TT_ADNP	Vaginal Delivery	Caesarian Section		p=0.919	5
TT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.976	5
TT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.930	5
TT_IgG1	Vaginal Delivery	Caesarian Section		p=0.930	5
TT_IgG2	Vaginal Delivery	Caesarian Section		p=0.919	7
TT_IgG3	Vaginal Delivery	Caesarian Section		p=0.919	2
TT_IgG4	Vaginal Delivery	Caesarian Section		p=0.919	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Vaginal Delivery	Caesarian Section		p=0.922	1
DT_ADCP	Vaginal Delivery	Caesarian Section		p=0.922	2
DT_ADNP	Vaginal Delivery	Caesarian Section		p=0.843	3
DT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.864	1
DT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.867	1
DT_IgG	Vaginal Delivery	Caesarian Section		p=0.830	4
DT_IgG1	Vaginal Delivery	Caesarian Section		p=0.983	5
DT_IgG2	Vaginal Delivery	Caesarian Section		p=0.738	6
DT_IgG3	Vaginal Delivery	Caesarian Section		p=0.738	7
DT_IgG4	Vaginal Delivery	Caesarian Section		p=0.738	6
FHA_ADCD	Vaginal Delivery	Caesarian Section		p=0.757	1
FHA_ADCP	Vaginal Delivery	Caesarian Section		p=0.830	3
FHA_ADNP	Vaginal Delivery	Caesarian Section		p=0.879	3
FHA_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.738	4
FHA_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.864	4
FHA_IgG	Vaginal Delivery	Caesarian Section		p=0.738	4
FHA_IgG1	Vaginal Delivery	Caesarian Section		p=0.892	5
FHA_IgG2	Vaginal Delivery	Caesarian Section		p=0.830	6
FHA_IgG3	Vaginal Delivery	Caesarian Section		p=0.738	7
FHA_IgG4	Vaginal Delivery	Caesarian Section		p=0.557	6
PRN_ADCD	Vaginal Delivery	Caesarian Section		p=0.988	1
PRN_ADCP	Vaginal Delivery	Caesarian Section		p=0.830	3
PRN_ADNP	Vaginal Delivery	Caesarian Section		p=0.969	2
PRN_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.922	4
PRN_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.879	4
PRN_IgG	Vaginal Delivery	Caesarian Section		p=0.738	4
PRN_IgG1	Vaginal Delivery	Caesarian Section		p=0.768	5
PRN_IgG2	Vaginal Delivery	Caesarian Section		p=0.830	6
PRN_IgG3	Vaginal Delivery	Caesarian Section		p=0.879	7
PRN_IgG4	Vaginal Delivery	Caesarian Section		p=0.557	6
PT_ADCD	Vaginal Delivery	Caesarian Section		p=0.579	7
PT_ADCP	Vaginal Delivery	Caesarian Section		p=0.738	7
PT_ADNP	Vaginal Delivery	Caesarian Section		p=0.936	7
PT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.557	7
PT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.557	7
PT_IgG	Vaginal Delivery	Caesarian Section		p=0.557	4
PT_IgG1	Vaginal Delivery	Caesarian Section		p=0.579	1
PT_IgG2	Vaginal Delivery	Caesarian Section		p=0.557	6
PT_IgG3	Vaginal Delivery	Caesarian Section		p=0.738	7
PT_IgG4	Vaginal Delivery	Caesarian Section		p=0.738	6
TT_ADCD	Vaginal Delivery	Caesarian Section		p=0.830	1
TT_ADCP	Vaginal Delivery	Caesarian Section		p=0.738	1
TT_ADNP	Vaginal Delivery	Caesarian Section		p=0.738	1
TT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.738	1
TT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.738	4
TT_IgG	Vaginal Delivery	Caesarian Section		p=0.738	4
TT_IgG1	Vaginal Delivery	Caesarian Section		p=0.738	5
TT_IgG2	Vaginal Delivery	Caesarian Section		p=0.738	6
TT_IgG3	Vaginal Delivery	Caesarian Section		p=0.830	7
TT_IgG4	Vaginal Delivery	Caesarian Section		p=0.738	6

Visit: boosted

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Vaginal Delivery	Caesarian Section		p=0.933	1
DT_ADCP	Vaginal Delivery	Caesarian Section		p=0.933	2
DT_ADNP	Vaginal Delivery	Caesarian Section		p=0.933	2
DT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.933	5
DT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.933	5
DT_IgG1	Vaginal Delivery	Caesarian Section		p=0.933	5
DT_IgG2	Vaginal Delivery	Caesarian Section		p=0.810	7
DT_IgG3	Vaginal Delivery	Caesarian Section		p=0.860	5
DT_IgG4	Vaginal Delivery	Caesarian Section		p=0.933	7
FHA_ADCD	Vaginal Delivery	Caesarian Section		p=0.933	1
FHA_ADCP	Vaginal Delivery	Caesarian Section		p=0.860	3
FHA_ADNP	Vaginal Delivery	Caesarian Section		p=0.933	3
FHA_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.933	3
FHA_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.933	3
FHA_IgG1	Vaginal Delivery	Caesarian Section		p=0.933	3
FHA_IgG2	Vaginal Delivery	Caesarian Section		p=0.810	7
FHA_IgG3	Vaginal Delivery	Caesarian Section		p=0.810	6
FHA_IgG4	Vaginal Delivery	Caesarian Section		p=0.244	7
PRN_ADCD	Vaginal Delivery	Caesarian Section		p=0.933	1
PRN_ADCP	Vaginal Delivery	Caesarian Section		p=0.860	3
PRN_ADNP	Vaginal Delivery	Caesarian Section		p=0.933	5
PRN_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.933	3
PRN_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.810	3
PRN_IgG1	Vaginal Delivery	Caesarian Section		p=0.933	3
PRN_IgG2	Vaginal Delivery	Caesarian Section		p=0.860	7
PRN_IgG3	Vaginal Delivery	Caesarian Section		p=0.933	6
PRN_IgG4	Vaginal Delivery	Caesarian Section		p=0.810	7
PT_ADCD	Vaginal Delivery	Caesarian Section		p=0.933	1
PT_ADCP	Vaginal Delivery	Caesarian Section		p=0.933	4
PT_ADNP	Vaginal Delivery	Caesarian Section		p=0.933	5
PT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.860	4
PT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.933	4
PT_IgG1	Vaginal Delivery	Caesarian Section		p=0.933	4
PT_IgG2	Vaginal Delivery	Caesarian Section		p=0.810	7
PT_IgG3	Vaginal Delivery	Caesarian Section		p=0.810	4
PT_IgG4	Vaginal Delivery	Caesarian Section		p=0.810	7
TT_ADCD	Vaginal Delivery	Caesarian Section		p=0.933	1
TT_ADCP	Vaginal Delivery	Caesarian Section		p=0.860	2
TT_ADNP	Vaginal Delivery	Caesarian Section		p=0.933	2
TT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.860	2
TT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.860	2
TT_IgG1	Vaginal Delivery	Caesarian Section		p=0.933	6
TT_IgG2	Vaginal Delivery	Caesarian Section		p=0.933	7
TT_IgG3	Vaginal Delivery	Caesarian Section		p=0.860	6
TT_IgG4	Vaginal Delivery	Caesarian Section		p=0.810	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	Vaginal Delivery	Caesarian Section		p=0.890	1
DT_ADCP	Vaginal Delivery	Caesarian Section		p=0.890	2
DT_ADNP	Vaginal Delivery	Caesarian Section		p=0.890	2
DT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.991	3
DT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.921	3
DT_IgG	Vaginal Delivery	Caesarian Section		p=0.921	3
DT_IgG1	Vaginal Delivery	Caesarian Section		p=0.890	2
DT_IgG2	Vaginal Delivery	Caesarian Section		p=0.890	4
DT_IgG3	Vaginal Delivery	Caesarian Section		p=0.890	5
DT_IgG4	Vaginal Delivery	Caesarian Section		p=0.926	6
FHA_ADCD	Vaginal Delivery	Caesarian Section		p=0.890	1
FHA_ADCP	Vaginal Delivery	Caesarian Section		p=0.890	7
FHA_ADNP	Vaginal Delivery	Caesarian Section		p=0.890	6
FHA_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.890	6
FHA_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.890	6
FHA_IgG	Vaginal Delivery	Caesarian Section		p=0.890	3
FHA_IgG1	Vaginal Delivery	Caesarian Section		p=0.963	2
FHA_IgG2	Vaginal Delivery	Caesarian Section		p=0.890	4
FHA_IgG3	Vaginal Delivery	Caesarian Section		p=0.890	5
FHA_IgG4	Vaginal Delivery	Caesarian Section		p=0.690	4
PRN_ADCD	Vaginal Delivery	Caesarian Section		p=0.890	1
PRN_ADCP	Vaginal Delivery	Caesarian Section		p=0.963	7
PRN_ADNP	Vaginal Delivery	Caesarian Section		p=0.890	3
PRN_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.890	3
PRN_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.890	3
PRN_IgG	Vaginal Delivery	Caesarian Section		p=0.890	3
PRN_IgG1	Vaginal Delivery	Caesarian Section		p=0.890	2
PRN_IgG2	Vaginal Delivery	Caesarian Section		p=0.890	4
PRN_IgG3	Vaginal Delivery	Caesarian Section		p=0.890	5
PRN_IgG4	Vaginal Delivery	Caesarian Section		p=0.890	4
PT_ADCD	Vaginal Delivery	Caesarian Section		p=0.890	1
PT_ADCP	Vaginal Delivery	Caesarian Section		p=0.890	3
PT_ADNP	Vaginal Delivery	Caesarian Section		p=0.890	3
PT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.890	3
PT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.909	3
PT_IgG	Vaginal Delivery	Caesarian Section		p=0.991	3
PT_IgG1	Vaginal Delivery	Caesarian Section		p=0.890	2
PT_IgG2	Vaginal Delivery	Caesarian Section		p=0.890	4
PT_IgG3	Vaginal Delivery	Caesarian Section		p=0.890	6
PT_IgG4	Vaginal Delivery	Caesarian Section		p=0.890	4
TT_ADCD	Vaginal Delivery	Caesarian Section		p=0.890	1
TT_ADCP	Vaginal Delivery	Caesarian Section		p=0.890	7
TT_ADNP	Vaginal Delivery	Caesarian Section		p=0.890	3
TT_FcgR2a	Vaginal Delivery	Caesarian Section		p=0.890	1
TT_FcgR3b	Vaginal Delivery	Caesarian Section		p=0.890	3
TT_IgG	Vaginal Delivery	Caesarian Section		p=0.890	3
TT_IgG1	Vaginal Delivery	Caesarian Section		p=0.890	2
TT_IgG2	Vaginal Delivery	Caesarian Section		p=0.890	4
TT_IgG3	Vaginal Delivery	Caesarian Section		p=0.890	5
TT_IgG4	Vaginal Delivery	Caesarian Section		p=0.890	4

parity

Visit: vaccinated

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.575	1
DT_ADCP	1	2+		p=0.996	1
DT_ADNP	1	2+		p=0.585	1
DT_FcgR2a	1	2+		p=0.839	6
DT_FcgR3b	1	2+		p=0.943	6
DT_IgG1	1	2+		p=0.575	6
DT_IgG2	1	2+		p=0.791	7
DT_IgG3	1	2+		p=0.575	2
DT_IgG4	1	2+		p=0.575	7
FHA_ADCD	1	2+		p=0.575	1
FHA_ADCP	1	2+		p=0.943	3
FHA_ADNP	1	2+		p=0.575	3
FHA_FcgR2a	1	2+		p=0.575	3
FHA_FcgR3b	1	2+		p=0.683	3
FHA_IgG1	1	2+		p=0.939	3
FHA_IgG2	1	2+		p=0.791	7
FHA_IgG3	1	2+		p=0.839	2
FHA_IgG4	1	2+		p=0.575	7
PRN_ADCD	1	2+		p=0.590	1
PRN_ADCP	1	2+		p=0.575	4
PRN_ADNP	1	2+		p=0.575	4
PRN_FcgR2a	1	2+		p=0.575	4
PRN_FcgR3b	1	2+		p=0.791	4
PRN_IgG1	1	2+		p=0.683	4
PRN_IgG2	1	2+		p=0.791	7
PRN_IgG3	1	2+		p=0.683	2
PRN_IgG4	1	2+		p=0.575	7
PT_ADCD	1	2+		p=0.575	2
PT_ADCP	1	2+		p=0.926	2
PT_ADNP	1	2+		p=0.575	2
PT_FcgR2a	1	2+		p=0.791	2
PT_FcgR3b	1	2+		p=0.943	2
PT_IgG1	1	2+		p=0.575	2
PT_IgG2	1	2+		p=0.575	7
PT_IgG3	1	2+		p=0.575	2
PT_IgG4	1	2+		p=0.585	7
TT_ADCD	1	2+		p=0.575	1
TT_ADCP	1	2+		p=0.959	5
TT_ADNP	1	2+		p=0.575	5
TT_FcgR2a	1	2+		p=0.926	5
TT_FcgR3b	1	2+		p=0.959	5
TT_IgG1	1	2+		p=0.575	5
TT_IgG2	1	2+		p=0.575	7
TT_IgG3	1	2+		p=0.575	2
TT_IgG4	1	2+		p=0.683	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.627	1
DT_ADCP	1	2+		p=0.991	2
DT_ADNP	1	2+		p=0.650	3
DT_FcgR2a	1	2+		p=0.703	1
DT_FcgR3b	1	2+		p=0.908	1
DT_IgG	1	2+		p=0.904	4
DT_IgG1	1	2+		p=0.703	5
DT_IgG2	1	2+		p=0.703	6
DT_IgG3	1	2+		p=0.627	7
DT_IgG4	1	2+		p=0.627	6
FHA_ADCD	1	2+		p=0.627	1
FHA_ADCP	1	2+		p=0.996	3
FHA_ADNP	1	2+		p=0.650	3
FHA_FcgR2a	1	2+		p=0.627	4
FHA_FcgR3b	1	2+		p=0.650	4
FHA_IgG	1	2+		p=0.703	4
FHA_IgG1	1	2+		p=0.650	5
FHA_IgG2	1	2+		p=0.704	6
FHA_IgG3	1	2+		p=0.703	7
FHA_IgG4	1	2+		p=0.627	6
PRN_ADCD	1	2+		p=0.627	1
PRN_ADCP	1	2+		p=0.962	3
PRN_ADNP	1	2+		p=0.627	2
PRN_FcgR2a	1	2+		p=0.627	4
PRN_FcgR3b	1	2+		p=0.650	4
PRN_IgG	1	2+		p=0.703	4
PRN_IgG1	1	2+		p=0.991	5
PRN_IgG2	1	2+		p=0.650	6
PRN_IgG3	1	2+		p=0.650	7
PRN_IgG4	1	2+		p=0.627	6
PT_ADCD	1	2+		p=0.650	7
PT_ADCP	1	2+		p=0.991	7
PT_ADNP	1	2+		p=0.627	7
PT_FcgR2a	1	2+		p=0.908	7
PT_FcgR3b	1	2+		p=0.983	7
PT_IgG	1	2+		p=0.703	4
PT_IgG1	1	2+		p=0.703	1
PT_IgG2	1	2+		p=0.650	6
PT_IgG3	1	2+		p=0.650	7
PT_IgG4	1	2+		p=0.650	6
TT_ADCD	1	2+		p=0.703	1
TT_ADCP	1	2+		p=0.703	1
TT_ADNP	1	2+		p=0.650	1
TT_FcgR2a	1	2+		p=0.968	1
TT_FcgR3b	1	2+		p=0.703	4
TT_IgG	1	2+		p=0.858	4
TT_IgG1	1	2+		p=0.703	5
TT_IgG2	1	2+		p=0.650	6
TT_IgG3	1	2+		p=0.703	7
TT_IgG4	1	2+		p=0.703	6

Visit: boosted

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.554	1
DT_ADCP	1	2+		p=0.972	2
DT_ADNP	1	2+		p=0.320	2
DT_FcgR2a	1	2+		p=0.790	5
DT_FcgR3b	1	2+		p=0.703	5
DT_IgG1	1	2+		p=0.137	5
DT_IgG2	1	2+		p=0.972	7
DT_IgG3	1	2+		p=0.137	5
DT_IgG4	1	2+		p=0.608	7
FHA_ADCD	1	2+		p=0.347	1
FHA_ADCP	1	2+		p=0.996	3
FHA_ADNP	1	2+		p=0.964	3
FHA_FcgR2a	1	2+		p=0.703	3
FHA_FcgR3b	1	2+		p=0.972	3
FHA_IgG1	1	2+		p=0.320	3
FHA_IgG2	1	2+		p=0.554	7
FHA_IgG3	1	2+		p=0.320	6
FHA_IgG4	1	2+		p=0.416	7
PRN_ADCD	1	2+		p=0.554	1
PRN_ADCP	1	2+		p=0.238	3
PRN_ADNP	1	2+		p=0.996	5
PRN_FcgR2a	1	2+		p=0.483	3
PRN_FcgR3b	1	2+		p=0.972	3
PRN_IgG1	1	2+		p=0.238	3
PRN_IgG2	1	2+		p=0.591	7
PRN_IgG3	1	2+		p=0.608	6
PRN_IgG4	1	2+		p=0.347	7
PT_ADCD	1	2+		p=0.972	1
PT_ADCP	1	2+		p=0.694	4
PT_ADNP	1	2+		p=0.554	5
PT_FcgR2a	1	2+		p=0.964	4
PT_FcgR3b	1	2+		p=0.710	4
PT_IgG1	1	2+		p=0.285	4
PT_IgG2	1	2+		p=0.285	7
PT_IgG3	1	2+		p=0.608	4
PT_IgG4	1	2+		p=0.137	7
TT_ADCD	1	2+		p=0.701	1
TT_ADCP	1	2+		p=0.996	2
TT_ADNP	1	2+		p=0.890	2
TT_FcgR2a	1	2+		p=0.354	2
TT_FcgR3b	1	2+		p=0.615	2
TT_IgG1	1	2+		p=0.238	6
TT_IgG2	1	2+		p=0.354	7
TT_IgG3	1	2+		p=0.703	6
TT_IgG4	1	2+		p=0.238	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.484	1
DT_ADCP	1	2+		p=0.926	2
DT_ADNP	1	2+		p=0.250	2
DT_FcgR2a	1	2+		p=0.626	3
DT_FcgR3b	1	2+		p=0.910	3
DT_IgG	1	2+		p=0.842	3
DT_IgG1	1	2+		p=0.250	2
DT_IgG2	1	2+		p=0.842	4
DT_IgG3	1	2+		p=0.250	5
DT_IgG4	1	2+		p=0.484	6
FHA_ADCD	1	2+		p=0.250	1
FHA_ADCP	1	2+		p=0.484	7
FHA_ADNP	1	2+		p=0.250	6
FHA_FcgR2a	1	2+		p=0.254	6
FHA_FcgR3b	1	2+		p=0.548	6
FHA_IgG	1	2+		p=0.250	3
FHA_IgG1	1	2+		p=0.910	2
FHA_IgG2	1	2+		p=0.250	4
FHA_IgG3	1	2+		p=0.250	5
FHA_IgG4	1	2+		p=0.250	4
PRN_ADCD	1	2+		p=0.254	1
PRN_ADCP	1	2+		p=0.531	7
PRN_ADNP	1	2+		p=0.689	3
PRN_FcgR2a	1	2+		p=0.484	3
PRN_FcgR3b	1	2+		p=0.910	3
PRN_IgG	1	2+		p=0.689	3
PRN_IgG1	1	2+		p=0.548	2
PRN_IgG2	1	2+		p=0.429	4
PRN_IgG3	1	2+		p=0.484	5
PRN_IgG4	1	2+		p=0.250	4
PT_ADCD	1	2+		p=0.689	1
PT_ADCP	1	2+		p=0.484	3
PT_ADNP	1	2+		p=0.484	3
PT_FcgR2a	1	2+		p=0.626	3
PT_FcgR3b	1	2+		p=0.375	3
PT_IgG	1	2+		p=0.626	3
PT_IgG1	1	2+		p=0.328	2
PT_IgG2	1	2+		p=0.250	4
PT_IgG3	1	2+		p=0.671	6
PT_IgG4	1	2+		p=0.250	4
TT_ADCD	1	2+		p=0.626	1
TT_ADCP	1	2+		p=0.926	7
TT_ADNP	1	2+		p>0.999	3
TT_FcgR2a	1	2+		p=0.375	1
TT_FcgR3b	1	2+		p=0.926	3
TT_IgG	1	2+		p=0.926	3
TT_IgG1	1	2+		p=0.250	2
TT_IgG2	1	2+		p=0.328	4
TT_IgG3	1	2+		p=0.689	5
TT_IgG4	1	2+		p=0.250	4

gravidity

Visit: vaccinated

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.936	1
DT_ADCP	1	2+		p=0.936	1
DT_ADNP	1	2+		p=0.936	1
DT_FcgR2a	1	2+		p=0.936	6
DT_FcgR3b	1	2+		p=0.949	6
DT_IgG1	1	2+		p=0.936	6
DT_IgG2	1	2+		p=0.949	7
DT_IgG3	1	2+		p=0.936	2
DT_IgG4	1	2+		p=0.936	7
FHA_ADCD	1	2+		p=0.936	1
FHA_ADCP	1	2+		p=0.936	3
FHA_ADNP	1	2+		p=0.949	3
FHA_FcgR2a	1	2+		p=0.936	3
FHA_FcgR3b	1	2+		p=0.936	3
FHA_IgG1	1	2+		p=0.936	3
FHA_IgG2	1	2+		p=0.936	7
FHA_IgG3	1	2+		p=0.949	2
FHA_IgG4	1	2+		p=0.980	7
PRN_ADCD	1	2+		p=0.936	1
PRN_ADCP	1	2+		p=0.949	4
PRN_ADNP	1	2+		p=0.936	4
PRN_FcgR2a	1	2+		p=0.936	4
PRN_FcgR3b	1	2+		p=0.936	4
PRN_IgG1	1	2+		p=0.936	4
PRN_IgG2	1	2+		p=0.949	7
PRN_IgG3	1	2+		p=0.936	2
PRN_IgG4	1	2+		p=0.949	7
PT_ADCD	1	2+		p=0.936	2
PT_ADCP	1	2+		p=0.936	2
PT_ADNP	1	2+		p=0.936	2
PT_FcgR2a	1	2+		p=0.936	2
PT_FcgR3b	1	2+		p=0.936	2
PT_IgG1	1	2+		p=0.936	2
PT_IgG2	1	2+		p=0.936	7
PT_IgG3	1	2+		p=0.936	2
PT_IgG4	1	2+		p=0.949	7
TT_ADCD	1	2+		p=0.949	1
TT_ADCP	1	2+		p=0.949	5
TT_ADNP	1	2+		p=0.936	5
TT_FcgR2a	1	2+		p=0.936	5
TT_FcgR3b	1	2+		p=0.949	5
TT_IgG1	1	2+		p=0.936	5
TT_IgG2	1	2+		p=0.936	7
TT_IgG3	1	2+		p=0.949	2
TT_IgG4	1	2+		p=0.964	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.986	1
DT_ADCP	1	2+		p=0.986	2
DT_ADNP	1	2+		p=0.986	3
DT_FcgR2a	1	2+		p=0.986	1
DT_FcgR3b	1	2+		p=0.986	1
DT_IgG	1	2+		p=0.986	4
DT_IgG1	1	2+		p=0.986	5
DT_IgG2	1	2+		p=0.986	6
DT_IgG3	1	2+		p=0.986	7
DT_IgG4	1	2+		p=0.986	6
FHA_ADCD	1	2+		p=0.986	1
FHA_ADCP	1	2+		p=0.986	3
FHA_ADNP	1	2+		p=0.986	3
FHA_FcgR2a	1	2+		p=0.986	4
FHA_FcgR3b	1	2+		p=0.986	4
FHA_IgG	1	2+		p=0.986	4
FHA_IgG1	1	2+		p=0.986	5
FHA_IgG2	1	2+		p=0.986	6
FHA_IgG3	1	2+		p=0.986	7
FHA_IgG4	1	2+		p=0.986	6
PRN_ADCD	1	2+		p=0.986	1
PRN_ADCP	1	2+		p=0.986	3
PRN_ADNP	1	2+		p=0.986	2
PRN_FcgR2a	1	2+		p=0.986	4
PRN_FcgR3b	1	2+		p=0.986	4
PRN_IgG	1	2+		p=0.986	4
PRN_IgG1	1	2+		p=0.986	5
PRN_IgG2	1	2+		p=0.986	6
PRN_IgG3	1	2+		p=0.986	7
PRN_IgG4	1	2+		p=0.986	6
PT_ADCD	1	2+		p=0.986	7
PT_ADCP	1	2+		p=0.986	7
PT_ADNP	1	2+		p=0.986	7
PT_FcgR2a	1	2+		p=0.986	7
PT_FcgR3b	1	2+		p=0.988	7
PT_IgG	1	2+		p=0.986	4
PT_IgG1	1	2+		p=0.986	1
PT_IgG2	1	2+		p=0.986	6
PT_IgG3	1	2+		p=0.986	7
PT_IgG4	1	2+		p=0.986	6
TT_ADCD	1	2+		p=0.988	1
TT_ADCP	1	2+		p=0.986	1
TT_ADNP	1	2+		p=0.986	1
TT_FcgR2a	1	2+		p=0.986	1
TT_FcgR3b	1	2+		p=0.986	4
TT_IgG	1	2+		p=0.986	4
TT_IgG1	1	2+		p=0.986	5
TT_IgG2	1	2+		p=0.986	6
TT_IgG3	1	2+		p=0.986	7
TT_IgG4	1	2+		p=0.986	6

Visit: boosted

Transformation Type: Standardized by Total IgG, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.919	1
DT_ADCP	1	2+		p=0.963	2
DT_ADNP	1	2+		p=0.742	2
DT_FcgR2a	1	2+		p=0.859	5
DT_FcgR3b	1	2+		p=0.978	5
DT_IgG1	1	2+		p=0.468	5
DT_IgG2	1	2+		p=0.963	7
DT_IgG3	1	2+		p=0.400	5
DT_IgG4	1	2+		p=0.859	7
FHA_ADCD	1	2+		p=0.859	1
FHA_ADCP	1	2+		p=0.963	3
FHA_ADNP	1	2+		p=0.978	3
FHA_FcgR2a	1	2+		p=0.859	3
FHA_FcgR3b	1	2+		p=0.963	3
FHA_IgG1	1	2+		p=0.619	3
FHA_IgG2	1	2+		p=0.859	7
FHA_IgG3	1	2+		p=0.742	6
FHA_IgG4	1	2+		p=0.919	7
PRN_ADCD	1	2+		p=0.963	1
PRN_ADCP	1	2+		p=0.791	3
PRN_ADNP	1	2+		p=0.978	5
PRN_FcgR2a	1	2+		p=0.799	3
PRN_FcgR3b	1	2+		p=0.978	3
PRN_IgG1	1	2+		p=0.400	3
PRN_IgG2	1	2+		p=0.963	7
PRN_IgG3	1	2+		p=0.791	6
PRN_IgG4	1	2+		p=0.963	7
PT_ADCD	1	2+		p=0.978	1
PT_ADCP	1	2+		p=0.963	4
PT_ADNP	1	2+		p=0.742	5
PT_FcgR2a	1	2+		p=0.963	4
PT_FcgR3b	1	2+		p=0.919	4
PT_IgG1	1	2+		p=0.742	4
PT_IgG2	1	2+		p=0.859	7
PT_IgG3	1	2+		p=0.742	4
PT_IgG4	1	2+		p=0.742	7
TT_ADCD	1	2+		p=0.963	1
TT_ADCP	1	2+		p=0.963	2
TT_ADNP	1	2+		p=0.963	2
TT_FcgR2a	1	2+		p=0.742	2
TT_FcgR3b	1	2+		p=0.911	2
TT_IgG1	1	2+		p=0.742	6
TT_IgG2	1	2+		p=0.859	7
TT_IgG3	1	2+		p=0.911	6
TT_IgG4	1	2+		p=0.799	7

Transformation Type: Unstandardized, not scaled

Feature	Group 1	Group 2	estimate	P-Value	Cluster
DT_ADCD	1	2+		p=0.787	1
DT_ADCP	1	2+		p=0.813	2
DT_ADNP	1	2+		p=0.731	2
DT_FcgR2a	1	2+		p=0.774	3
DT_FcgR3b	1	2+		p=0.908	3
DT_IgG	1	2+		p=0.908	3
DT_IgG1	1	2+		p=0.731	2
DT_IgG2	1	2+		p=0.865	4
DT_IgG3	1	2+		p=0.731	5
DT_IgG4	1	2+		p=0.774	6
FHA_ADCD	1	2+		p=0.760	1
FHA_ADCP	1	2+		p=0.774	7
FHA_ADNP	1	2+		p=0.760	6
FHA_FcgR2a	1	2+		p=0.731	6
FHA_FcgR3b	1	2+		p=0.760	6
FHA_IgG	1	2+		p=0.731	3
FHA_IgG1	1	2+		p=0.893	2
FHA_IgG2	1	2+		p=0.731	4
FHA_IgG3	1	2+		p=0.731	5
FHA_IgG4	1	2+		p=0.760	4
PRN_ADCD	1	2+		p=0.774	1
PRN_ADCP	1	2+		p=0.813	7
PRN_ADNP	1	2+		p=0.774	3
PRN_FcgR2a	1	2+		p=0.774	3
PRN_FcgR3b	1	2+		p=0.813	3
PRN_IgG	1	2+		p=0.813	3
PRN_IgG1	1	2+		p=0.760	2
PRN_IgG2	1	2+		p=0.807	4
PRN_IgG3	1	2+		p=0.760	5
PRN_IgG4	1	2+		p=0.784	4
PT_ADCD	1	2+		p=0.961	1
PT_ADCP	1	2+		p=0.774	3
PT_ADNP	1	2+		p=0.760	3
PT_FcgR2a	1	2+		p=0.813	3
PT_FcgR3b	1	2+		p=0.760	3
PT_IgG	1	2+		p=0.784	3
PT_IgG1	1	2+		p=0.774	2
PT_IgG2	1	2+		p=0.774	4
PT_IgG3	1	2+		p=0.760	6
PT_IgG4	1	2+		p=0.760	4
TT_ADCD	1	2+		p=0.865	1
TT_ADCP	1	2+		p=0.822	7
TT_ADNP	1	2+		p=0.774	3
TT_FcgR2a	1	2+		p=0.731	1
TT_FcgR3b	1	2+		p=0.865	3
TT_IgG	1	2+		p=0.813	3
TT_IgG1	1	2+		p=0.760	2
TT_IgG2	1	2+		p=0.774	4
TT_IgG3	1	2+		p=0.784	5
TT_IgG4	1	2+		p=0.760	4

Session information

sessionInfo()

R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)

Matrix products: default


locale:
[1] LC_COLLATE=English_United States.utf8 
[2] LC_CTYPE=English_United States.utf8   
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.utf8    

time zone: America/New_York
tzcode source: internal

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

other attached packages:
 [1] RColorBrewer_1.1-3 rstatix_0.7.2      lubridate_1.9.2    forcats_1.0.0     
 [5] purrr_1.0.1        readr_2.1.4        tidyverse_2.0.0    stringr_1.5.0     
 [9] tibble_3.2.1       tidyr_1.3.0        data.table_1.14.8  pBrackets_1.0.1   
[13] htmltools_0.5.8    plotly_4.10.4      cowplot_1.1.1      ggtext_0.1.2      
[17] ggridges_0.5.6     ggfortify_0.4.16   ggpubr_0.6.0       gtExtras_0.5.0    
[21] ggExtra_0.10.1     ggrepel_0.9.3      ggplot2_3.4.4      gt_0.10.1         
[25] gdata_2.19.0       tidyquery_0.2.4    DT_0.28            DBI_1.1.3         
[29] RPostgres_1.4.5    scales_1.3.0       dplyr_1.1.2        here_1.0.1        

loaded via a namespace (and not attached):
 [1] gridExtra_2.3     rematch2_2.1.2    rlang_1.1.1       magrittr_2.0.3   
 [5] git2r_0.32.0      compiler_4.3.1    systemfonts_1.0.5 vctrs_0.6.3      
 [9] pkgconfig_2.0.3   fastmap_1.1.1     backports_1.4.1   ellipsis_0.3.2   
[13] fontawesome_0.5.2 labeling_0.4.3    utf8_1.2.3        promises_1.2.0.1 
[17] rmarkdown_2.25    tzdb_0.4.0        ragg_1.2.6        bit_4.0.5        
[21] xfun_0.45         cachem_1.0.8      jsonlite_1.8.7    blob_1.2.4       
[25] highr_0.11        later_1.3.1       broom_1.0.5       R6_2.5.1         
[29] bslib_0.7.0       stringi_1.7.12    car_3.1-2         jquerylib_0.1.4  
[33] Rcpp_1.0.11       knitr_1.47        httpuv_1.6.11     timechange_0.2.0 
[37] tidyselect_1.2.0  rstudioapi_0.15.0 abind_1.4-5       yaml_2.3.7       
[41] miniUI_0.1.1.1    shiny_1.7.4.1     withr_3.0.0       evaluate_0.23    
[45] xml2_1.3.5        pillar_1.9.0      carData_3.0-5     generics_0.1.3   
[49] rprojroot_2.0.4   paletteer_1.6.0   hms_1.1.3         munsell_0.5.0    
[53] gtools_3.9.4      xtable_1.8-4      glue_1.6.2        lazyeval_0.2.2   
[57] tools_4.3.1       ggsignif_0.6.4    fs_1.6.3          grid_4.3.1       
[61] colorspace_2.1-0  cli_3.6.1         queryparser_0.3.2 textshaping_0.3.7
[65] workflowr_1.7.1   fansi_1.0.4       viridisLite_0.4.2 svglite_2.1.2    
[69] gtable_0.3.4      sass_0.4.9        digest_0.6.33     farver_2.1.1     
[73] htmlwidgets_1.6.2 lifecycle_1.0.4   httr_1.4.7        mime_0.12        
[77] gridtext_0.1.5    bit64_4.0.5