The multi-scale complexity of human genetic variation beyond continental groups.

ABSTRACT: Traditional clustering and visualization approaches in human genetics often operate under frameworks that assume inherent, discrete groupings^1,2. These methods can inadvertently simplify multifaceted relationships, functioning to entrench the idea of typological groups³. We introduce a network-based pipeline and visualization tool grounded in relational thinking⁴, which constructs networks from a variety of genetic similarity metrics. We identify communities at multiple resolutions, departing from typological models of analysis and interpretation that categorize individuals into a (predefined) number of sets. We applied our pipeline to a dataset merged from the 1000 Genomes and Human Genome Diversity Project⁵, revealing the limitations of traditi

SUBMITTER: Palma-Martinez MJ 

PROVIDER: S-EPMC11702577 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature