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PMID: 19424496 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Genetic structure of Europeans: a view from the North-East.

PloS one ·Vol. 4 ·No. 5 ·2009-00-00 ·Pages e5472

Nelis M, Esko T, Mägi R, Zimprich F, Zimprich A, Toncheva D, Karachanak S, Piskácková T, Balascák I, Peltonen L, Jakkula E, Rehnström K, Lathrop M, Heath S, Galan P, Schreiber S, Meitinger T, Pfeufer A, Wichmann HE, Melegh B, Polgár N, Toniolo D, Gasparini P, D'Adamo P, Klovins J, Nikitina-Zake L, Kucinskas V, Kasnauskiene J, Lubinski J, Debniak T, Limborska S, Khrunin A, Estivill X, Rabionet R, Marsal S, Julià A, Antonarakis SE, Deutsch S, Borel C, Attar H, Gagnebin M, Macek M, Krawczak M, Remm M, Metspalu A

Abstract

Using principal component (PC) analysis, we studied the genetic constitution of 3,112 individuals from Europe as portrayed by more than 270,000 single nucleotide polymorphisms (SNPs) genotyped with the Illumina Infinium platform. In cohorts where the sample size was >100, one hundred randomly chosen samples were used for analysis to minimize the sample size effect, resulting in a total of 1,564 samples. This analysis revealed that the genetic structure of the European population correlates closely with geography. The first two PCs highlight the genetic diversity corresponding to the northwest to southeast gradient and position the populations according to their approximate geographic origin. The resulting genetic map forms a triangular structure with a) Finland, b) the Baltic region, Poland and Western Russia, and c) Italy as its vertexes, and with d) Central- and Western Europe in its centre. Inter- and intra- population genetic differences were quantified by the inflation factor lambda (lambda) (ranging from 1.00 to 4.21), fixation index (F(st)) (ranging from 0.000 to 0.023), and by the number of markers exhibiting significant allele frequency differences in pair-wise population comparisons. The estimated lambda was used to assess the real diminishing impact to association statistics when two distinct populations are merged directly in an analysis. When the PC analysis was confined to the 1,019 Estonian individuals (0.1% of the Estonian population), a fine structure emerged that correlated with the geography of individual counties. With at least two cohorts available from several countries, genetic substructures were investigated in Czech, Finnish, German, Estonian and Italian populations. Together with previously published data, our results allow the creation of a comprehensive European genetic map that will greatly facilitate inter-population genetic studies including genome wide association studies (GWAS).

MeSH Terms
Europe/ethnology Gene Frequency Genetic Markers Genome, Human/genetics Humans Linkage Disequilibrium/genetics Polymorphism, Single Nucleotide/genetics Principal Component Analysis Whites/genetics
Chemicals
Genetic Markers
Authors & Affiliations
45 authors, click to expand affiliations / ORCID
Nelis Mari
Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.
Esko Tõnu
Mägi Reedik
Zimprich Fritz
Zimprich Alexander
Toncheva Draga
Karachanak Sena
Piskácková Tereza
Balascák Ivan
Peltonen Leena
Jakkula Eveliina
Rehnström Karola
Lathrop Mark
Heath Simon
Galan Pilar
Schreiber Stefan
Meitinger Thomas
Pfeufer Arne
Wichmann H-Erich
Melegh Béla
Polgár Noémi
Toniolo Daniela
Gasparini Paolo
D'Adamo Pio
Klovins Janis
Nikitina-Zake Liene
Kucinskas Vaidutis
Kasnauskiene Jūrate
Lubinski Jan
Debniak Tadeusz
Limborska Svetlana
Khrunin Andrey
Estivill Xavier
Rabionet Raquel
Marsal Sara
Julià Antonio
Antonarakis Stylianos E
Deutsch Samuel
Borel Christelle
Attar Homa
Gagnebin Maryline
Macek Milan
Krawczak Michael
Remm Maido
Metspalu Andres
References (35)
35 references, click to expand
  1. The genome-wide patterns of variation expose significant substructure in a founder population.
    Am J Hum Genet. 2008 Dec;83(6):787-94 PMID: 19061986
  2. Geographic patterns of mtDNA diversity in Europe.
    Am J Hum Genet. 2000 Jan;66(1):262-78 PMID: 10631156
  3. Genetic mapping in human disease.
    Science. 2008 Nov 7;322(5903):881-8 PMID: 18988837
  4. The MONICA Augsburg surveys--basis for prospective cohort studies.
    Gesundheitswesen. 2005 Aug;67 Suppl 1:S13-8 PMID: 16032512
  5. Africans and Asians abroad: genetic diversity in Europe.
    Annu Rev Genomics Hum Genet. 2004;5:119-50 PMID: 15485345
  6. Genes mirror geography within Europe.
    Nature. 2008 Nov 6;456(7218):98-101 PMID: 18758442
  7. Discerning the ancestry of European Americans in genetic association studies.
    PLoS Genet. 2008 Jan;4(1):e236 PMID: 18208327
  8. Harvesting the fruit of the human mtDNA tree.
    Trends Genet. 2006 Jun;22(6):339-45 PMID: 16678300
  9. Correlation between genetic and geographic structure in Europe.
    Curr Biol. 2008 Aug 26;18(16):1241-8 PMID: 18691889
  10. Haploview: analysis and visualization of LD and haplotype maps.
    Bioinformatics. 2005 Jan 15;21(2):263-5 PMID: 15297300
  11. Principal components analysis corrects for stratification in genome-wide association studies.
    Nat Genet. 2006 Aug;38(8):904-9 PMID: 16862161
  12. Linkage disequilibrium in isolated populations: Finland and a young sub-population of Kuusamo.
    Eur J Hum Genet. 2000 Aug;8(8):604-12 PMID: 10951523
  13. Genetic signatures of strong recent positive selection at the lactase gene.
    Am J Hum Genet. 2004 Jun;74(6):1111-20 PMID: 15114531
  14. Synthetic maps of human gene frequencies in Europeans.
    Science. 1978 Sep 1;201(4358):786-92 PMID: 356262
  15. Investigation of the fine structure of European populations with applications to disease association studies.
    Eur J Hum Genet. 2008 Dec;16(12):1413-29 PMID: 19020537
  16. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.
    Nat Genet. 2008 May;40(5):638-45 PMID: 18372903
  17. Genome-wide analysis of single nucleotide polymorphisms uncovers population structure in Northern Europe.
    PLoS One. 2008;3(10):e3519 PMID: 18949038
  18. Improved correction for population stratification in genome-wide association studies by identifying hidden population structures.
    Genet Epidemiol. 2008 Apr;32(3):215-26 PMID: 18161052
  19. Geographic patterns of (genetic, morphologic, linguistic) variation: how barriers can be detected by using Monmonier's algorithm.
    Hum Biol. 2004 Apr;76(2):173-90 PMID: 15359530
  20. PopGen: population-based recruitment of patients and controls for the analysis of complex genotype-phenotype relationships.
    Community Genet. 2006;9(1):55-61 PMID: 16490960
  21. SNP-based analysis of genetic substructure in the German population.
    Hum Hered. 2006;62(1):20-9 PMID: 17003564
  22. Genomic control for association studies.
    Biometrics. 1999 Dec;55(4):997-1004 PMID: 11315092
  23. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.
    Nature. 2007 Jun 7;447(7145):661-78 PMID: 17554300
  24. Practical aspects of imputation-driven meta-analysis of genome-wide association studies.
    Hum Mol Genet. 2008 Oct 15;17(R2):R122-8 PMID: 18852200
  25. Magnitude and distribution of linkage disequilibrium in population isolates and implications for genome-wide association studies.
    Nat Genet. 2006 May;38(5):556-60 PMID: 16582909
  26. PLINK: a tool set for whole-genome association and population-based linkage analyses.
    Am J Hum Genet. 2007 Sep;81(3):559-75 PMID: 17701901
  27. KORA-gen--resource for population genetics, controls and a broad spectrum of disease phenotypes.
    Gesundheitswesen. 2005 Aug;67 Suppl 1:S26-30 PMID: 16032514
  28. Inference of population structure using multilocus genotype data.
    Genetics. 2000 Jun;155(2):945-59 PMID: 10835412
  29. Signature of recent historical events in the European Y-chromosomal STR haplotype distribution.
    Hum Genet. 2005 Mar;116(4):279-91 PMID: 15660227
  30. Y genetic data support the Neolithic demic diffusion model.
    Proc Natl Acad Sci U S A. 2002 Aug 20;99(17):11008-13 PMID: 12167671
  31. Genotype, haplotype and copy-number variation in worldwide human populations.
    Nature. 2008 Feb 21;451(7181):998-1003 PMID: 18288195
  32. Analysis and application of European genetic substructure using 300 K SNP information.
    PLoS Genet. 2008 Jan;4(1):e4 PMID: 18208329
  33. The effects of human population structure on large genetic association studies.
    Nat Genet. 2004 May;36(5):512-7 PMID: 15052271
  34. Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
    Int J Epidemiol. 2009 Feb;38(1):263-73 PMID: 18676414
  35. Measuring European population stratification with microarray genotype data.
    Am J Hum Genet. 2007 May;80(5):948-56 PMID: 17436249
Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Published
2009-00-00
Epub
2009-00-08
Pages
e5472
Language
English
Region
United States
NLM ID
101285081
PMCID
PMC2675054
Subset
IM
Corrections
ErratumIn
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