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bioRxiv · 10.1101/2022.10.13.512132

rBahadur: Efficient simulation of high-dimensional genotype data with global dependence structures

Border, R.·Malik, O. A.
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Abstract

Existing methods for generating synthetic genotype data are ill-suited for replicating the effects of assortative mating (AM). We propose rb_dplr, a novel and computationally efficient algorithm for generating high-dimensional binary random variates that effectively recapitulates AM-induced genetic architectures using the Bahadur order-2 approximation of the multivariate Bernoulli distribution. Availability and implementationThe rBahadur R library is available at https://github.com/rborder/rBahadur.

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Border, R., Malik, O. A.. 2022-10-17. rBahadur: Efficient simulation of high-dimensional genotype data with global dependence structures. https://doi.org/10.1101/2022.10.13.512132

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