Journal
BMC BIOINFORMATICS
Volume 24, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12859-023-05442-6
Keywords
Assortative mating; Multivariate Bernoulli; Genotype simulation
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Existing methods for generating synthetic genotype data are not suitable for replicating the effects of assortative mating. We propose rb_dplr, a novel and computationally efficient algorithm that effectively recapitulates the AM-induced genetic architectures using the Bahadur order-2 approximation of the multivariate Bernoulli distribution. The rBahadur R library is available through the Comprehensive R Archive Network at https://CRAN.R-project.org/package=rBahadur.
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. The rBahadur R library is available through the Comprehensive R Archive Network at https://CRAN.R-project.org/package=rBahadur.
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