ArticleBMC genetics2011
Population-genetic comparison of the Sorbian isolate population in Germany with the German KORA population using genome-wide SNP arrays.
Article in BMC genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
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- Genome wide meta-analysis highlights the role of genetic variation in RARRES2 in the regulation of circulating serum chemerin.PLoS genetics · 2014Pooled it
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- Clinical and lifestyle related factors influencing whole blood metabolite levels - A comparative analysis of three large cohorts.Molecular metabolism · 2019Article
- On the impact of relatedness on SNP association analysis.BMC genetics · 2017Article
- Weighted likelihood inference of genomic autozygosity patterns in dense genotype data.BMC genomics · 2017Article
- Kinship Testing Based on SNPs Using Microarray System.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2016Article
- Association of metabolic parameters and rs726344 in FNDC5 with serum irisin concentrations.International journal of obesity (2005) · 2016Article
- Extensive genome-wide autozygosity in the population isolates of Daghestan.European journal of human genetics : EJHG · 2015Article
- Integration of Genome-Wide SNP Data and Gene-Expression Profiles Reveals Six Novel Loci and Regulatory Mechanisms for Amino Acids and Acylcarnitines in Whole Blood.PLoS genetics · 2015Article
- Unravelling the genetic history of Negritos and indigenous populations of Southeast Asia.Genome biology and evolution · 2015Article
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- Genomic patterns of homozygosity in worldwide human populations.American journal of human genetics · 2012Article
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14 authors.
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Abstract
backgroundThe 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.
resultsThe 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.
conclusionsSorbs 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.
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