Regional surnames and genetic structure in Great Britain
Bibliographic Data
| ID | 8963692 |
|---|---|
| Authors | Jens Kandt (0000-0003-0945-6322, Department of Geography University College London London WC1E 6BT, corresponding author), James Cheshire (0000-0003-4552-5989, University College London), James A Cheshire (Department of Geography University College London London WC1E 6BT), Paul A Longley, Paul Longley (0000-0002-4727-6384, Department of Geography University College London London WC1E 6BT) |
| Year | 2016 |
| Volume | 41 |
| Issue | 4 |
| Pages | 554-569 |
| Publication date | 2016-07-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transactions of the Institute of British Geographers (JOURNAL) |
| Journal identifiers | ISSN: 0020-2754 • E-ISSN: 1475-5661 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/tran.12131 |
| PMID | 27708455 |
| OpenAlex | W2463380695 |
| Language | EN |
| Citations received | 8 |
| References cited | 40 |
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 because the precise populations that they represent are uncertain and ill-defined. Unlike most social surveys, a genetic sample's representativeness of the population cannot be established by conventional procedures of statistical inference, and the implications for population-wide generalisations about bio-social phenomena are little understood. In this paper, we seek to address these problems by linking surname data to a censored and geographically uneven sample of DNA scans, collected for the People of the British Isles study. Based on a combination of global and local spatial correspondence measures, we identify eight regions in Great Britain that are most likely to represent the geography of genetic structure of Great Britain's long-settled population. We discuss the implications of this regionalisation for bio-social investigations. We conclude that, as the often highly selective collection of DNA and biomarkers becomes a more common practice, geography is crucial to understanding variation in genetic information within diverse populations
Biology · Data science · Economic geography · Evolutionary biology · Genealogy · Genetic data · Genetic structure · Genetic variation · Geography · Inference · Population · Population genetics · Regional science · Regionalisation · Representativeness heuristic · Sample (material · Sociology · Statistics · Computer Science · Demography · Forensic and Genetic Research · Genetic Associations and Epidemiology · History · Race, Genetics, and Society
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| Unique citing works | 8 |
|---|---|
| Citations per year | 1,14 |
| Citation span | 2019 - 2025 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 8 |