منابع مشابه
Regional surnames and genetic structure in Great Britain
Following the increasing availability of DNA-sequenced data, the genetic structure of populations can now be inferred and studied in unprecedented detail. Across social science, this innovation is shaping new bio-social research agendas, attracting substantial investment in the collection of genetic, biological and social data for large population samples. Yet genetic samples are special becaus...
متن کاملGenetic Signatures of Coancestry within Surnames
Surnames are cultural markers of shared ancestry within human populations. The Y chromosome, like many surnames, is paternally inherited, so men sharing surnames might be expected to share similar Y chromosomes as a signature of coancestry. Such a relationship could be used to connect branches of family trees, to validate population genetic studies based on isonymy, and to predict surname from ...
متن کاملSurnames, Genetic Selection, and Social Mobility in Pre-Industrial England
A Farewell to Alms: A Brief Economic History of the World, argued controversially that in pre-industrial England the rich replaced the poor demographically, and that this helps explain why England became more “bourgeois” in these years: less violent, thriftier, more literate, more numerate. Here evidence from a different source, surnames, confirms the takeover of English society by the economic...
متن کاملSocial Closure, Surnames and Crime
This paper studies the effect of social closure on crime and tax evasion rates using disaggregated data for Italian municipalities. It measures the degree of social openness of a community by the diversity of its surname distribution, which reflects the history of migration and inbreeding. It shows that, all else equal, communities with a history of social closure have lower crime rates and hig...
متن کاملSurnames and ancestry in Brazil
This paper presents a method for classifying the ancestry of Brazilian surnames based on historical sources. The information obtained forms the basis for applying fuzzy matching and machine learning classification algorithms to more than 46 million workers in 5 categories: Iberian, Italian, Japanese, German and East European. The vast majority (96.7%) of the single surnames were identified usin...
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ژورنال
عنوان ژورنال: Journal of Medical Genetics
سال: 1987
ISSN: 1468-6244
DOI: 10.1136/jmg.24.3.191