snpcov_mvmr: snpcov_mvmr

Description Usage Arguments Value Author(s) References Examples

View source: R/snpcov_mvmr.R

Description

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.

Usage

1
snpcov_mvmr(Gs, Xs)

Arguments

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.

Value

A list of covariance matrices with respect to each genetic variant, retaining the ordering in Gs

Author(s)

Wes Spiller; Eleanor Sanderson; Jack Bowden.

References

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

Examples

1
snpcov_mvmr(data[,1:10],data[,11:13])

WSpiller/MRPracticals documentation built on April 25, 2020, 10:52 a.m.