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CONSANGUINITY BY RANDOM ISONYMY AND SOCIOECONOMIC DEVELOPMENT IN ARGENTINA: A POPULATION STUDY
José Edgardo Dipierri1, Alvaro Rodríguez-Larralde2, Italo Barrai3
1*Instituto de Ecorregiones Andinas (INECOA),Universidad Nacional de Jujuy,San Salvador de Jujuy,Argentina.
Journal of Biosocial Science
|October 12, 2016
Summary
Genetic relatedness (F ST) in Argentina is inversely correlated with socioeconomic status. Higher genetic similarity is found in less socioeconomically developed regions, indicating a link between genetics and socio-demographics.
Area of Science:
- Population Genetics
- Human Demography
- Socioeconomics
Background:
- Human populations exhibit complex genetic, demographic, and socioeconomic structures.
- These structures can be organized hierarchically within administrative boundaries.
- Understanding the interplay between genetic relatedness and socioeconomic factors is crucial.
Purpose of the Study:
- To analyze the relationship between consanguinity (F ST) and socioeconomic conditions in Argentina.
- To investigate this relationship across different administrative levels.
- To identify geographical patterns in genetic and socioeconomic indicators.
Main Methods:
- Estimated consanguinity (F ST) using random isonymy from surnames of over 22 million voters.
- Calculated a Socio-Demographic and Economic Indicator (SDEI) using principal component analysis of 22 variables.
- Analyzed the correlation between F ST and SDEI at national and regional levels using multiple regression.
Main Results:
- F ST showed a clinal distribution, higher in the north and west; SDEI exhibited opposite trends.
- A significant negative correlation (46% variation explained) was found between F ST and SDEI.
- Strongest negative correlations were in regions with high SDEI and low F ST (Central, Patagonia, Cuyo).
Conclusions:
- Socioeconomic development is a significant factor influencing genetic structure in Argentina.
- Consanguinity levels are lower in more socioeconomically developed regions.
- The study highlights the interconnectedness of genetic, demographic, and socioeconomic factors in human populations.
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