School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada.
Projet BALSAC, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada.
Bioinformatics. 2023 Mar 1;39(3). doi: 10.1093/bioinformatics/btad136.
Founder populations with deep genealogical data are well suited for investigating genetic variants contributing to diseases. Here, we present a major update of the genealogical analysis R package GENLIB, centered around a new function which can simulate the transmission of haplotypes from founders to probands along very large and complex user-specified genealogies.
The latest update of the GENLIB package (v1.1.9) contains the new gen.simuHaplo() function and is available on the CRAN repository and from https://github.com/R-GENLIB/GENLIB. Examples can be accessed at https://github.com/R-GENLIB/simuhaplo_functions.
具有深入系谱数据的创始人群体非常适合研究导致疾病的遗传变异。在这里，我们展示了一个主要的更新，即系谱分析 R 包 GENLIB，其核心是一个新的函数，该函数可以沿着非常大而复杂的用户指定的系谱模拟单倍型从创始者到受检者的传递。
GENLIB 包的最新更新（v1.1.9）包含新的 gen.simuHaplo()函数，可在 CRAN 存储库以及 https://github.com/R-GENLIB/GENLIB 上获得。可以在 https://github.com/R-GENLIB/simuhaplo_functions 上访问示例。
