TY - JOUR
T1 - Correlation between genetic and geographic structure in Europe
AU - Lao, Oscar
AU - Lu, Timothy T
AU - Nothnagel, Michael
AU - Junge, Olaf
AU - Freitag-Wolf, Sandra
AU - Caliebe, Amke
AU - Balascakova, Miroslava
AU - Bertranpetit, Jaume
AU - Bindoff, Laurence A
AU - Comas, David
AU - Holmlund, Gunilla
AU - Kouvatsi, Anastasia
AU - Macek, Milan
AU - Mollet, Isabelle
AU - Parson, Walther
AU - Palo, Jukka
AU - Ploski, Rafal
AU - Sajantila, Antti
AU - Tagliabracci, Adriano
AU - Gether, Ulrik
AU - Werge, Thomas
AU - Rivadeneira, Fernando
AU - Hofman, Albert
AU - Uitterlinden, André G
AU - Gieger, Christian
AU - Wichmann, Heinz-Erich
AU - Rüther, Andreas
AU - Schreiber, Stefan
AU - Becker, Christian
AU - Nürnberg, Peter
AU - Nelson, Matthew R
AU - Krawczak, Michael
AU - Kayser, Manfred
N1 - Keywords: Europe; European Continental Ancestry Group; Genetics, Population; Genotype; Geography; Humans; Linkage Disequilibrium; Polymorphism, Single Nucleotide
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
U2 - 10.1016/j.cub.2008.07.049
DO - 10.1016/j.cub.2008.07.049
M3 - Journal article
C2 - 18691889
SN - 0960-9822
VL - 18
SP - 1241
EP - 1248
JO - Current Biology
JF - Current Biology
IS - 16
ER -