Comparing population structure as inferred from genealogical versus genetic information.

ABSTRACT: Algorithms for inferring population structure from genetic data (ie, population assignment methods) have shown to effectively recognize genetic clusters in human populations. However, their performance in identifying groups of genealogically related individuals, especially in scanty-differentiated populations, has not been tested empirically thus far. For this study, we had access to both genealogical and genetic data from two closely related, isolated villages in southern Italy. We found that nearly all living individuals were included in a single pedigree, with multiple inbreeding loops. Despite F(st) between villages being a low 0.008, genetic clustering analysis identified two clusters roughly corresponding to the two villages. Average kinship between individuals (estimated from geneal

SUBMITTER: Colonna V 

PROVIDER: S-EPMC2987018 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature