Surnames in Honduras: A Study of the Population of Honduras through Isonymy

Summary In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we st...

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Published inAnnals of human genetics Vol. 78; no. 3; pp. 165 - 177
Main Authors Herrera Paz, Edwin Francisco, Scapoli, Chiara, Mamolini, Elisabetta, Sandri, Massimo, Carrieri, Alberto, Rodriguez‐Larralde, Alvaro, Barrai, Italo
Format Journal Article
LanguageEnglish
Published England Wiley Subscription Services, Inc 01.05.2014
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Abstract Summary In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we studied the surname effective number, α, the total inbreeding, FIT, the random inbreeding, FST, and the local inbreeding, FIS. Principal components analysis, multidimensional scaling, and cluster analysis were performed on Lasker's distance matrix to detect the direction of surname diffusion and for a graphic representation of the surname relationship between different locations. The values of FIT, FST, and FIS display a variation of random inbreeding between the administrative levels in the Honduras population, which is attributed to the “Prefecture effect.” Multivariate analyses of department data identified two main clusters, one south‐western and the second north‐eastern, with the Bay Islands and the eastern Gracias a Dios out of the main clusters. The results suggest that currently the population structure of this country is the result of the joint action of short‐range directional migration and drift, with drift dominating over migration, and that population diffusion may have taken place mainly in the NW‐SE direction.
AbstractList In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we studied the surname effective number, α, the total inbreeding, FIT , the random inbreeding, FST , and the local inbreeding, FIS . Principal components analysis, multidimensional scaling, and cluster analysis were performed on Lasker's distance matrix to detect the direction of surname diffusion and for a graphic representation of the surname relationship between different locations. The values of FIT , FST , and FIS display a variation of random inbreeding between the administrative levels in the Honduras population, which is attributed to the "Prefecture effect." Multivariate analyses of department data identified two main clusters, one south-western and the second north-eastern, with the Bay Islands and the eastern Gracias a Dios out of the main clusters. The results suggest that currently the population structure of this country is the result of the joint action of short-range directional migration and drift, with drift dominating over migration, and that population diffusion may have taken place mainly in the NW-SE direction.
Summary In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we studied the surname effective number, [alpha], the total inbreeding, FIT, the random inbreeding, FST, and the local inbreeding, FIS. Principal components analysis, multidimensional scaling, and cluster analysis were performed on Lasker's distance matrix to detect the direction of surname diffusion and for a graphic representation of the surname relationship between different locations. The values of FIT, FST, and FIS display a variation of random inbreeding between the administrative levels in the Honduras population, which is attributed to the "Prefecture effect." Multivariate analyses of department data identified two main clusters, one south-western and the second north-eastern, with the Bay Islands and the eastern Gracias a Dios out of the main clusters. The results suggest that currently the population structure of this country is the result of the joint action of short-range directional migration and drift, with drift dominating over migration, and that population diffusion may have taken place mainly in the NW-SE direction. [PUBLICATION ABSTRACT]
Summary In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we studied the surname effective number, α, the total inbreeding, FIT, the random inbreeding, FST, and the local inbreeding, FIS. Principal components analysis, multidimensional scaling, and cluster analysis were performed on Lasker's distance matrix to detect the direction of surname diffusion and for a graphic representation of the surname relationship between different locations. The values of FIT, FST, and FIS display a variation of random inbreeding between the administrative levels in the Honduras population, which is attributed to the “Prefecture effect.” Multivariate analyses of department data identified two main clusters, one south‐western and the second north‐eastern, with the Bay Islands and the eastern Gracias a Dios out of the main clusters. The results suggest that currently the population structure of this country is the result of the joint action of short‐range directional migration and drift, with drift dominating over migration, and that population diffusion may have taken place mainly in the NW‐SE direction.
In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy in three administrative levels: the whole nation, the 18 departments, and the 298 municipalities. For each administrative level, we studied the surname effective number, alpha , the total inbreeding, FIT, the random inbreeding, FST, and the local inbreeding, FIS. Principal components analysis, multidimensional scaling, and cluster analysis were performed on Lasker's distance matrix to detect the direction of surname diffusion and for a graphic representation of the surname relationship between different locations. The values of FIT, FST, and FIS display a variation of random inbreeding between the administrative levels in the Honduras population, which is attributed to the "Prefecture effect." Multivariate analyses of department data identified two main clusters, one south-western and the second north-eastern, with the Bay Islands and the eastern Gracias a Dios out of the main clusters. The results suggest that currently the population structure of this country is the result of the joint action of short-range directional migration and drift, with drift dominating over migration, and that population diffusion may have taken place mainly in the NW-SE direction.
Author Carrieri, Alberto
Sandri, Massimo
Rodriguez‐Larralde, Alvaro
Herrera Paz, Edwin Francisco
Scapoli, Chiara
Barrai, Italo
Mamolini, Elisabetta
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2014 John Wiley & Sons Ltd/University College London.
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Issue 3
Keywords Honduras
Population structure
isolation by distance
inbreeding
isonymy
Language English
License 2014 John Wiley & Sons Ltd/University College London.
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Notes These authors contributed equally to this work.
The work was supported by grants of the University of Ferrara to Chiara Scapoli.
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Snippet Summary In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of...
In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of isonymy...
Summary In this work, we investigated surname distribution in 4,348,021 Honduran electors with the aim of detecting population structure through the study of...
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SubjectTerms Cluster Analysis
Consanguinity
Genetics, Population - methods
Geography
Honduras
Human Migration - statistics & numerical data
Humans
inbreeding
isolation by distance
isonymy
Names
Population structure
Principal Component Analysis
Principal components analysis
Title Surnames in Honduras: A Study of the Population of Honduras through Isonymy
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