Description Usage Arguments Value Author(s) References Examples
Uses individual level genetic and exposure data to generate covariance matrices for estimated effects of individual genetic variants on each exposure. The function returns a number of covariance matrices equal to the number of SNPs, where SNP and row numbers reference ordered exposures.
1 | snpcov_mvmr(Gs, Xs)
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Gs |
A matrix or dataframe containing genetic instrument measures. Columns should indicate genetic variant number, with rows representing an observed measure of the genetic variant. |
Xs |
A matrix or dataframe containing exposure measures. Columns should indicate exposure number, with rows representing an observed measure for the given exposure. |
A list of covariance matrices with respect to each genetic variant, retaining the ordering in Gs
Wes Spiller; Eleanor Sanderson; Jack Bowden.
Sanderson, E., et al., An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings. International Journal of Epidemiology, 2018. [Internet]. 2018;dyy262. Available from: https://dx.doi.org/10.1093/ije/dyy262
1 | snpcov_mvmr(data[,1:10],data[,11:13])
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