一种基于动态框长的局部祖先推断模型研究OACSTPCD

Due to population mixing and genetic recombination,each chromosome in the genome can be regarded as a chimera of ancestral chromosomes from different genetic backgrounds.Local Ancestry Inference(LAI)is an important part of genetic analysis,which infers the ancestral origin of each chromosome segment in the genome by using genetic marker information.In order to simplify the process of LAI design,most of the existing methods use fixed-size windows and ignore the real recombination breakpoints in the individual genome to be tested.In this study,we design a strategy based on k-mers to find recombination breakpoints,and combine Hidden Markov models(HMMs)to infer local ancestry based on splitting of variable-length recombination windows in each haploid.Simulation results show that the accuracy of Wadmix is similar to that of other mainstream tools including RFMix.