Last updated: 2021-11-29
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File | Version | Author | Date | Message |
---|---|---|---|---|
Rmd | a836698 | Jenny Sjaarda | 2021-11-29 | wflow_publish("analysis/update_meeting_29_11_2021.Rmd") |
Rmd | 3abb0a0 | jennysjaarda | 2021-11-28 | add udpate meeting for 29/11/21 |
Sought to compare the raw correlation amongst couples vs. the standardized MR effects. There are many traits where the correlation > MR effects
including some traits of interest such as standing height, place of birth, among many others. A plot comparing the two and a summary table of the effects is shown below.
A few key changes to the pipeline since last time we looked at these results:
IVW_meta_beta
and IVW_meta_pval
corresponds to the beta and p-value of the meta-analyzed MR across sexes, respectively (i.e. MR estimates were computed in each sex-seperately using sex-specific SNP-exposure and SNP-outcome results and then meta-analyzed).0.05/62
), identified 60 significant assortative mating MR results (corresponding to the table below).0.05/28
), 0 traits showed significant differences amongst sexes (this changed from before).p < 0.05
.Figures compared the male to female MR results, and vice versa are shown below. Suggests evidence of regression dilution bias?
time_together_even_bins
) estimated using time at household variable, and median age (age_even_bins
).age
or time together
) versus the bin-specific MR estimate.Slopes were calculated by estimating the beta-coefficient of a linear regression between MR estimate within each bin (dependent variable) and median bin (independent variable, either age or time at same household). Linear models were run both unweighted and weighted for the by the inverse of the SE of the MR estimate.
The number of significant trends (\(\beta\) estimates from the model: \(\alpha_{bin} \sim median_{bin}\)) significant after multiple hypothesis testing (p < 0.05/28 = 0.0017857
) in each group was:
Repeated the confounder analysis with the following 4 traits:
outcome_description |
---|
Average total household income before tax |
Age completed full time education |
Townsend deprivation index at recruitment |
Fluid intelligence score |
Below are the corresponding figures:
sessionInfo()
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