ArticleG3 (Bethesda, Md.)2017
Fine-Scale Genetic Structure in Finland.
Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed.
- Population scale analysis reveals gut microbiome diversity and functional shifts linked to obesity.iScience · 2026Article
- Gut microbiome maturation in early childhood interacts with host genetics to predict type 1 diabetes risk.Nature metabolism · 2026Article
- Population genomics, demography, and circum-Baltic connectivity of Early Medieval southwestern Finland.Genome biology · 2026Article
- Article
- Systemic Disease Associations of Oral Lichenoid Disease: A Retrospective Case-Control Study.Oral diseases · 2026Article
- Sudan's complex genetic admixture history drives adaptation to malaria in Sudanese Copts.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Resources modify the associations between kin and fertility in historical Finland.Evolutionary human sciences · 2026Article
- Whole-Genome Sequencing in Galicia Reveals Male-Biased Pre-Islamic North African Ancestry, Subtle Population Structure, and Microgeographic Patterns of Disease Risk.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025Article
- Genetic effects on migration behavior contribute to increasing spatial differentiation at trait-associated loci in Estonia.iScience · 2025Article
- Diversity in women and their vaginal microbiota.Trends in microbiology · 2025Review
- Cross-Population Analysis of Sjögren's Syndrome Polygenic Risk Scores and Disease Prevalence: A Pilot Study.Genes · 2025Article
- The spatial distribution of pertussis, but not measles or smallpox, in pre-industrial Finland matches dialects.iScience · 2025Article
- Socio-economic status is a social construct with heritable components and genetic consequences.Nature human behaviour · 2025Review
- Y chromosome sequencing data suggest dual paths of haplogroup N1a1 into Finland.European journal of human genetics : EJHG · 2025Article
- Identification and functional characterisation of DNA methylation differences between East- and West-originating Finns.Epigenetics · 2024Article
- Human genetic structure in Northwest France provides new insights into West European historical demography.Nature communications · 2024Article
- Polygenic Indices (a.k.a. Polygenic Scores) in Social Science: A Guide for Interpretation and Evaluation.Sociological methodology · 2024Article
- Spatio-temporal modeling of co-dynamics of smallpox, measles, and pertussis in pre-healthcare Finland.PeerJ · 2024Article
- Geographical variation in treated psychotic and other mental disorders in Finland by region and urbanicity.Social psychiatry and psychiatric epidemiology · 2024Article
- Adult-Onset Neuroepidemiology in Finland: Lessons to Learn and Work to Do.Journal of clinical medicine · 2023Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 Nöteborg. 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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