Abstract

The knowledge of a population structure may constitute a powerful tool for mapping genes underlying susceptibility to Mendelian and complex diseases. To obtain a better understanding of the population structure of Sao Miguel Island (Azorean Archipelago, Portugal), we carried out a surname survey using the surnames listed in the most recent telephone book (2001). We identified 1315 different surnames in a total of 27,621 subscribers. The frequency of the different surnames was used to calculate the following parameters: isonymy (I), random component of inbreeding (FST), genetic diversity according to Fisher (a), migration rate according to Karlin- McGregor (v) and NeiÕs genetic distance. Eleven localities were selected, according to population size and geographic distribution, for analysis using the above parameters. Our results show that 51% of SalgaÕs population and 52% of Sete CidadesÕs population are represented by six and eight surnames, respectively. These figures demonstrate the effective isolation of these two small places, which are located at opposite ends of Sao Miguel Island. Salga, Achada, and Sete Cidades present the lowest values of FisherÕs, a indicating less genetic diversity. In contrast, the capital, Ponta Delgada, presents the highest value of a (78.13), indicating more genetic diversity. Our data indicate that the clustering of the localities corresponds to the geographic features of the island, where localities close together tend to share similar surnames. In conclusion, the population of Sao Miguel is relatively homogeneous and may constitute an ideal model for genetic mapping studies.

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