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Research Paper

Characterisation of genetic structure of the Mayan population in Guatemala by autosomal STR analysis

, , , , &
Pages 457-468 | Received 23 Nov 2014, Accepted 30 Jun 2015, Published online: 03 Aug 2015
 

Abstract

Background: Currently, the Guatemalan population comprises genetically isolated groups due to geographic, linguistic and cultural factors. For example, Mayan groups within the Guatemala population have preserved their own language, culture and religion. These practices have limited genetic admixture and have maintained the genetic identity of Mayan populations.

Aim: This study is designed to define the genetic structure of the Mayan-Guatemalan groups Kaqchiquel, K’iche’, Mam and Q’eqchi’ through autosomal short tandem repeat (STR) polymorphisms and to analyse the genetic relationships between them and with other Mayan groups.

Subjects and methods: Fifteen STR polymorphisms were analysed in 200 unrelated donors belonging to the Kaqchiquel (n = 50), K’iche’ (n = 50), Mam (n = 50) and Q’eqchi’ (n = 50) groups living in Guatemala. Genetic distance, non-metric MDS and AMOVA were used to analyse the genetic relationships between population groups.

Results: Within the Mayan population, the STRs D18S51 and FGA were the most informative markers and TH01 was the least informative. AMOVA and genetic distance analyses showed that the Guatemalan–Native American populations are highly similar to Mayan populations living in Mexico.

Conclusions: The Mayan populations from Guatemala and other Native American groups display high genetic homogeneity. Genetic relationships between these groups are more affected by cultural and linguistic factors than geographical and local flow. This study represents one of the first steps in understanding Mayan–Guatemalan populations, the associations between their sub-populations and differences in gene diversity with other populations. This article also demonstrates that the Mestizo population shares most of its ancestral genetic components with the Guatemala Mayan populations.

Acknowledgements

The authors would like to thank the donors and collectors who made this study possible. The corresponding author, Alvarez Cubero, is supported by a UGR grant developed at the University of Rome “Tor Vergata”. The University of Granada provided software.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

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