4.3 Article

Fine-Scale Genetic Structure in Finland

期刊

G3-GENES GENOMES GENETICS
卷 7, 期 10, 页码 3459-3468

出版社

GENETICS SOCIETY AMERICA
DOI: 10.1534/g3.117.300217

关键词

population genetics; population structure; haplotype sharing

资金

  1. National Institute for Health and Welfare
  2. Academy of Finland [139635, 257654, 288509, 294050, 251217, 255847]
  3. Finnish Foundation for Cardiovascular Research
  4. Research Funds of the University of Helsinki
  5. Academy of Finland Center of Excellence for Complex Disease Genetics
  6. EU [201413, 261433]
  7. Biocentrum Helsinki
  8. Sigrid Juselius Foundation
  9. Academy of Finland (AKA) [255847, 288509, 294050, 251217, 257654, 294050, 288509, 257654, 255847, 251217] Funding Source: Academy of Finland (AKA)

向作者/读者索取更多资源

Coupling dense genotype data with new computational methods offers unprecedented opportunities for individual-level ancestry estimation once geographically precisely defined reference data sets become available. We study such a reference data set for Finland containing 2376 such individuals from the FINRISK Study survey of 1997 both of whose parents were born close to each other. This sampling strategy focuses on the population structure present in Finland before the 1950s. By using the recent haplotype-based methods ChromoPainter (CP) and FineSTRUCTURE (FS) we reveal a highly geographically clustered genetic structure in Finland and report its connections to the settlement history as well as to the current dialectal regions of the Finnish language. The main genetic division within Finland shows striking concordance with the 1323 borderline of the treaty of Noteborg. In general, we detect genetic substructure throughout the country, which reflects stronger regional genetic differences in Finland compared to, for example, the UK, which in a similar analysis was dominated by a single unstructured population. We expect that similar population genetic reference data sets will become available for many more populations in the near future with important applications, for example, in forensic genetics and in genetic association studies. With this in mind, we report those extensions of the CP + FS approach that we found most useful in our analyses of the Finnish data.

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