Question

compared to Fst and assignment methods like STRUCTURE and ADMIXTURE that treat each locus independently (referred to as marginally), fineSTRUCTURE can detect more subtle population structure? why??

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the question --> how come fineSTRUCTURE can detect more subtle population stucture (relative to other methods)?

Answer 1

1.Two of the most popular approaches to investigate population structure using genetic data are exemplified by principal components analysis (PCA), which is often regarded as a non-parametric approach, and STRUCTURE.The PCA approach is based on analysing a matrix,Model-based methods attempt to more directly reconstruct historical events. In the simplest version of the STRUCTURE approach. populations. Although powerful, these approaches have drawbacks – determination of is difficult despite some technical advances [18], [19], and typically is required for satisfactory convergence, due to issues of computational cost and the presence of distinct local optima, affecting even the fastest methods such as ADMIXTURE . Further, little information is provided about the relationships between inferred populations, though observing how results change with varying can aid insight.he central issue that we address in this work is the fact that both PCA, and the most popular STRUCTURE-like approaches analyse single mutations individually, and do not use information about the relative positions of these mutations in the genome.