Email updates

Keep up to date with the latest news and content from BMC Genetics and BioMed Central.

Open Access Highly Accessed Research article

Population-genetic comparison of the Sorbian isolate population in Germany with the German KORA population using genome-wide SNP arrays

Arnd Gross12, Anke Tönjes34, Peter Kovacs5, Krishna R Veeramah678, Peter Ahnert12, Nab R Roshyara12, Christian Gieger9, Ina-Maria Rueckert9, Markus Loeffler12, Mark Stoneking10, Heinz-Erich Wichmann11129, John Novembre6, Michael Stumvoll34 and Markus Scholz12*

Author Affiliations

1 Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Haertelstrasse 16-18, 04107 Leipzig, Germany

2 LIFE Center (Leipzig Interdisciplinary Research Cluster of Genetic Factors, Phenotypes and Environment), University of Leipzig, Philipp-Rosenthal Strasse 27, 04103 Leipzig, Germany

3 Department of Medicine, University of Leipzig, Liebigstrasse 18, 04103 Leipzig, Germany

4 IFB Adiposity Diseases, University of Leipzig, Stephanstrasse 9c, 04103 Leipzig, Germany

5 Interdisciplinary Center for Clinical Research, University of Leipzig, Liebigstrasse 21, 04103 Leipzig, Germany

6 Dept Eco & Evo Biol, Interdepartmental Program in Bioinformatics, University of California, 621 Charles E. Young Dr South, Box 951606, Los Angeles, Los Angeles, CA 90095-1606 USA

7 Center for Society and Genetics. University of California, 1323 Rolfe Hall, Box 957221, Los Angeles, Los Angeles, CA 90095-7221, USA

8 Dept of History, University of California, 6265 Bunche Hall, Box 951473, Los Angeles, Los Angeles, CA 90095-1473, USA

9 Helmholtz Centre Munich, German Research Center for Environmental Health, Institute of Epidemiology, Ingolstaedter Landstraße 1, 85764 Neuherberg, Germany

10 Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany

11 Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-University, Marchioninistraße 15, 81377 Munich, Germany

12 Klinikum Grosshadern, Ludwig Maximilians University, Marchioninistraße 15, 81377 Munich, Germany

For all author emails, please log on.

BMC Genetics 2011, 12:67  doi:10.1186/1471-2156-12-67

Published: 28 July 2011

Abstract

Background

The Sorbs are an ethnic minority in Germany with putative genetic isolation, making the population interesting for disease mapping. A sample of N = 977 Sorbs is currently analysed in several genome-wide meta-analyses. Since genetic differences between populations are a major confounding factor in genetic meta-analyses, we compare the Sorbs with the German outbred population of the KORA F3 study (N = 1644) and other publically available European HapMap populations by population genetic means. We also aim to separate effects of over-sampling of families in the Sorbs sample from effects of genetic isolation and compare the power of genetic association studies between the samples.

Results

The degree of relatedness was significantly higher in the Sorbs. Principal components analysis revealed a west to east clustering of KORA individuals born in Germany, KORA individuals born in Poland or Czech Republic, Half-Sorbs (less than four Sorbian grandparents) and Full-Sorbs. The Sorbs cluster is nearest to the cluster of KORA individuals born in Poland. The number of rare SNPs is significantly higher in the Sorbs sample. FST between KORA and Sorbs is an order of magnitude higher than between different regions in Germany. Compared to the other populations, Sorbs show a higher proportion of individuals with runs of homozygosity between 2.5 Mb and 5 Mb. Linkage disequilibrium (LD) at longer range is also slightly increased but this has no effect on the power of association studies.

Oversampling of families in the Sorbs sample causes detectable bias regarding higher FST values and higher LD but the effect is an order of magnitude smaller than the observed differences between KORA and Sorbs. Relatedness in the Sorbs also influenced the power of uncorrected association analyses.

Conclusions

Sorbs show signs of genetic isolation which cannot be explained by over-sampling of relatives, but the effects are moderate in size. The Slavonic origin of the Sorbs is still genetically detectable.

Regarding LD structure, a clear advantage for genome-wide association studies cannot be deduced. The significant amount of cryptic relatedness in the Sorbs sample results in inflated variances of Beta-estimators which should be considered in genetic association analyses.