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Variation in Short Tandem Repeats Is Deeply Structured by Genetic Background on the Human Y Chromosome

Identifieur interne : 001101 ( Main/Exploration ); précédent : 001100; suivant : 001102

Variation in Short Tandem Repeats Is Deeply Structured by Genetic Background on the Human Y Chromosome

Auteurs : Elena Bosch [Espagne] ; Francesc Calafell [Espagne] ; Fabrício R. Santos [Royaume-Uni] ; Anna Pérez-Lezaun [Espagne] ; David Comas [Espagne] ; Noufissa Benchemsi [Maroc] ; Chris Tyler-Smith [Royaume-Uni] ; Jaume Bertranpetit [Espagne]

Source :

RBID : ISTEX:2FDA73F09B96FAB4A355FE4895BF85567D490FEF

English descriptors

Abstract

SummaryEleven biallelic polymorphisms and seven short-tandem-repeat (STR) loci mapping on the nonrecombining portion of the human Y chromosome have been typed in men from northwestern Africa. Analysis of the biallelic markers, which represent probable unique events in human evolution, allowed us to characterize the stable backgrounds or haplogroups of Y chromosomes that prevail in this geographic region. Variation in the more rapidly mutating genetic markers (STRs) has been used both to estimate the time to the most recent common ancestor for STR variability within these stable backgrounds and to explore whether STR differentiation among haplogroups still retains information about their phylogeny. When analysis of molecular variance was used to study the apportionment of STR variation among both genetic backgrounds (i.e., those defined by haplogroups) and population backgrounds, we found STR variability to be clearly structured by haplogroups. More than 80% of the genetic variance was found among haplogroups, whereas only 3.72% of the genetic variation could be attributed to differences among populations—that is, genetic variability appears to be much more structured by lineage than by population. This was confirmed when two population samples from the Iberian Peninsula were added to the analysis. The deep structure of the genetic variation in old genealogical units (haplogroups) challenges a population-based perspective in the comprehension of human genome diversity. A population may be better understood as an association of lineages from a deep and population-independent gene genealogy, rather than as a complete evolutionary unit.

Url:
DOI: 10.1086/302676


Affiliations:


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