Evolutionary Influences on Local Patterns of Genetic Relatedness.

ABSTRACT: Dimensionality reduction methods, such as Principal Components Analysis (PCA) or Multidimensional Scaling (MDS), when applied to genomic data, help to visualize the relatedness of individuals in lower dimensional space and are ubiquitous in population-genetic studies. These analyses use genome-wide patterns of variation to provide an "average" picture of genetic structure and relatedness. However, evolutionary processes result in different patterns of relationship among samples in local genomic regions as compared to the genome-wide aggregate. Recently, these local patterns of relatedness have been used to identify regions under selection and inverted segments. Here, we propose a unifying method to dissect these local deviations in genetic relatedness. Our method, Local Decomposition and S

SUBMITTER: Smith TQ 

PROVIDER: S-EPMC12154904 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature