title: Swedish population substructure revealed by genome-wide single nucleotide polymorphism data.
abstract: The use of genome-wide single nucleotide polymorphism (SNP) data has recently proven useful in the study of human population structure. We have studied the internal genetic structure of the Swedish population using more than 350,000 SNPs from 1525 Swedes from all over the country genotyped on the Illumina HumanHap550 array. We have also compared them to 3212 worldwide reference samples, including Finns, northern Germans, British and Russians, based on the more than 29,000 SNPs that overlap between the Illumina and Affymetrix 250K Sty arrays. The Swedes--especially southern Swedes--were genetically close to the Germans and British, while their genetic distance to Finns was substantially longer. The overall structure within Sweden appeared clinal, and the substructure in the southern and middle parts was subtle. In contrast, the northern part of Sweden, Norrland, exhibited pronounced genetic differences both within the area and relative to the rest of the country. These distinctive genetic features of Norrland probably result mainly from isolation by distance and genetic drift caused by low population density. The internal structure within Sweden (F(ST) = 0.0005 between provinces) was stronger than that in many Central European populations, although smaller than what has been observed for instance in Finland; importantly, it is of the magnitude that may hamper association studies with a moderate number of markers if cases and controls are not properly matched geographically. Overall, our results underline the potential of genome-wide data in analyzing substructure in populations that might otherwise appear relatively homogeneous, such as the Swedes.
authors.affiliation: Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
authors.forename: Elina
authors.initials: E
authors.lastname: Salmela
authors.forename: Tuuli
authors.initials: T
authors.lastname: Lappalainen
authors.forename: Jianjun
authors.initials: J
authors.lastname: Liu
authors.forename: Pertti
authors.initials: P
authors.lastname: Sistonen
authors.forename: Peter M
authors.initials: PM
authors.lastname: Andersen
authors.forename: Stefan
authors.initials: S
authors.lastname: Schreiber
authors.forename: Marja-Liisa
authors.initials: ML
authors.lastname: Savontaus
authors.forename: Kamila
authors.initials: K
authors.lastname: Czene
authors.forename: Päivi
authors.initials: P
authors.lastname: Lahermo
authors.forename: Per
authors.initials: P
authors.lastname: Hall
authors.forename: Juha
authors.initials: J
authors.lastname: Kere
mesh_terms: D016000:Cluster Analysis; D005260:Female; D005828:Genetics, Population; D015894:Genome, Human / Q000235:genetics; D023281:Genomics; D060148:HapMap Project; D006801:Humans; D008297:Male; D010802:Phylogeny; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D013548:Sweden