Literature DB >> 23959646

Analysis of a genetic isolate: the case of Carloforte (Italy).

R Robledo1, L Corrias, V Bachis, N Puddu, A Mameli, G Vona, C M Calò.   

Abstract

We reviewed data collected during several studies concerning the genetic isolate of Carloforte (Sardinia, Italy) and analyzed new data on Y-chromosome markers. Carloforte is also a language island, where people still speak Tabarchino, an archaic form of Ligurian dialect. Demographic data indicate that, in the early years of its history, the Carloforte population was characterized by a high degree of endogamy and consanguinity rates that started to decrease around 1850, when marriages with Sardinian people began to occur more frequently. Cultural factors, mainly language, account for the high endogamy. Genetic data from classical markers, mtDNA, and Y-chromosome markers confirmed the strong isolation of the Carloforte population, which appears significantly different from the neighboring population of Sardinia. Analysis of mtDNA emphasizes the crucial aspect of sampling strategy-two different samplings of the same population (one based on founder surnames; the other based on grandparents' criterion) gave different results. Founder surnames sampling is not affected by recent events, and therefore it better describes the ancestral population, whereas, grandparents' criterion sampling gives a picture of the present population, shaped by more recent events, such as migration and gene flow. This review further supports the notion that a comprehensive approach, including a detailed knowledge of the history of the population and the collection of different samplings, is essential in anthropology for reconstructing past and recent events that contributed to establishing the present genetic structure of the population. Likewise, it is essential in medical genetics to identify genes involved in complex diseases. An ideal scenario is offered by a genetic isolate with a recent, and well-documented, history, such as Carloforte, that can ba a paradigm for this type of investigation.
Copyright © 2013 Wayne State University Press, Detroit, Michigan 48201-1309.

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Year:  2012        PMID: 23959646     DOI: 10.3378/027.084.0602

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  1 in total

1.  Overcoming the dichotomy between open and isolated populations using genomic data from a large European dataset.

Authors:  Paolo Anagnostou; Valentina Dominici; Cinzia Battaggia; Luca Pagani; Miguel Vilar; R Spencer Wells; Davide Pettener; Stefania Sarno; Alessio Boattini; Paolo Francalacci; Vincenza Colonna; Giuseppe Vona; Carla Calò; Giovanni Destro Bisol; Sergio Tofanelli
Journal:  Sci Rep       Date:  2017-02-01       Impact factor: 4.379

  1 in total

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