Document Detail


Isonymy structure of Buenos Aires city.
MedLine Citation:
PMID:  20067369     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The isonymy structure of Buenos Aires was studied based on its surname frequency. Information on 2,552,359 voters of the 28 Buenos Aires districts was used to estimate Lasker's coefficient of relationship by isonymy (R(i)), surname diversity according to Fisher's alpha, the coefficient of consanguinity resulting from random isonymy (F), and Nei's, Lasker's and the Euclidean isonymy distances. These distances were correlated with geographic distances, which were calculated by assigning an arbitrary point to each district and measuring distances on a map of the city. The R(i) x 10(5) and F x 10(4) averages of the districts located south of Rivadavia Avenue were higher (R(i) = 66.08; F = 3.4) than those situated north of that avenue (R(i) = 46.60; F = 2.4) (p < 0.001). Fisher's alpha showed the opposite behavior (north, alpha = 1,055.5; south, alpha = 757.2). There was a significant correlation (p < 0.001) between geographic distance and Nei's and the Euclidean distances (0.496 and 0.503, respectively), but the correlation was not significant for Lasker's distance (0.051). These results indicate isolation by distance in the city of Buenos Aires and reveal subdivision of the metropolitan population, with greater consanguinity and a lesser variety of surnames in the districts located in the southern section of the city. This structure agrees with the fragmentation and social, cultural, and economic differences observed among the districts of this Latin American metropolis.
Authors:
Rubén A Bronberg; José E Dipierri; Emma L Alfaro; Italo Barrai; Alvaro Rodríguez-Larralde; Eduardo E Castilla; Vincenza Colonna; Greta Rodríguez-Arroyo; Graciela Bailliet
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Human biology     Volume:  81     ISSN:  1534-6617     ISO Abbreviation:  Hum. Biol.     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2010-01-13     Completed Date:  2010-04-15     Revised Date:  2011-04-18    
Medline Journal Info:
Nlm Unique ID:  0116717     Medline TA:  Hum Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  447-61     Citation Subset:  IM    
Affiliation:
Area Genética Médica, Hospital General de Agudos Dr. J. M. Ramos Mejia, General Urquiza 609, 1221 Ciudad de Buenos Aires, Argentina.
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MeSH Terms
Descriptor/Qualifier:
Brazil
Consanguinity
Genetics, Population*
Geography
Humans
Models, Statistical
Names*
Population Dynamics
Urban Population

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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