Literature DB >> 18691889

Correlation between genetic and geographic structure in Europe.

Oscar Lao1, Timothy T Lu, Michael Nothnagel, Olaf Junge, Sandra Freitag-Wolf, Amke Caliebe, Miroslava Balascakova, Jaume Bertranpetit, Laurence A Bindoff, David Comas, Gunilla Holmlund, Anastasia Kouvatsi, Milan Macek, Isabelle Mollet, Walther Parson, Jukka Palo, Rafal Ploski, Antti Sajantila, Adriano Tagliabracci, Ulrik Gether, Thomas Werge, Fernando Rivadeneira, Albert Hofman, André G Uitterlinden, Christian Gieger, Heinz-Erich Wichmann, Andreas Rüther, Stefan Schreiber, Christian Becker, Peter Nürnberg, Matthew R Nelson, Michael Krawczak, Manfred Kayser.   

Abstract

Understanding the genetic structure of the European population is important, not only from a historical perspective, but also for the appropriate design and interpretation of genetic epidemiological studies. Previous population genetic analyses with autosomal markers in Europe either had a wide geographic but narrow genomic coverage [1, 2], or vice versa [3-6]. We therefore investigated Affymetrix GeneChip 500K genotype data from 2,514 individuals belonging to 23 different subpopulations, widely spread over Europe. Although we found only a low level of genetic differentiation between subpopulations, the existing differences were characterized by a strong continent-wide correlation between geographic and genetic distance. Furthermore, mean heterozygosity was larger, and mean linkage disequilibrium smaller, in southern as compared to northern Europe. Both parameters clearly showed a clinal distribution that provided evidence for a spatial continuity of genetic diversity in Europe. Our comprehensive genetic data are thus compatible with expectations based upon European population history, including the hypotheses of a south-north expansion and/or a larger effective population size in southern than in northern Europe. By including the widely used CEPH from Utah (CEU) samples into our analysis, we could show that these individuals represent northern and western Europeans reasonably well, thereby confirming their assumed regional ancestry.

Mesh:

Year:  2008        PMID: 18691889     DOI: 10.1016/j.cub.2008.07.049

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  199 in total

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Journal:  Neurology       Date:  2012-07-03       Impact factor: 9.910

5.  Inferring genetic ancestry: opportunities, challenges, and implications.

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6.  Ascertainment biases in SNP chips affect measures of population divergence.

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Journal:  Mol Biol Evol       Date:  2010-06-17       Impact factor: 16.240

7.  Population structure and genome-wide patterns of variation in Ireland and Britain.

Authors:  Colm T O'Dushlaine; Derek Morris; Valentina Moskvina; George Kirov; Michael Gill; Aiden Corvin; James F Wilson; Gianpiero L Cavalleri
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8.  A genome-wide analysis of population structure in the Finnish Saami with implications for genetic association studies.

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Review 9.  Fine-scale population structure and the era of next-generation sequencing.

Authors:  Brenna M Henn; Simon Gravel; Andres Moreno-Estrada; Suehelay Acevedo-Acevedo; Carlos D Bustamante
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10.  Genetic structure of the Spanish population.

Authors:  Javier Gayán; José J Galan; Antonio González-Pérez; María Eugenia Sáez; María Teresa Martínez-Larrad; Carina Zabena; M Carmen Rivero; Ana Salinas; Reposo Ramírez-Lorca; Francisco J Morón; Jose Luis Royo; Concha Moreno-Rey; Juan Velasco; José M Carrasco; Eva Molero; Carolina Ochoa; María Dolores Ochoa; Marta Gutiérrez; Mercedes Reina; Rocío Pascual; Alejandro Romo-Astorga; Juan Luis Susillo-González; Enrique Vázquez; Luis M Real; Agustín Ruiz; Manuel Serrano-Ríos
Journal:  BMC Genomics       Date:  2010-05-25       Impact factor: 3.969

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