Evidence map›Paper›PMID 21559053›Full record

ArticleEuropean journal of human genetics : EJHG2011

Genetic variation in the Sorbs of eastern Germany in the context of broader European genetic diversity.

Krishna R Veeramah, Anke Tönjes, Peter Kovacs, Arnd Gross, Daniel Wegmann, Patrick Geary, Daniela Gasperikova, Iwar Klimes, Markus Scholz, John Novembre and 1 more

Abstract read
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Article in European journal of human genetics : EJHG, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. Metabolic effects of genetic variation in the human REPIN1 gene.International journal of obesity (2005) · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Krishna R VeeramahDepartment of Eco & Evo Biol, Interdepartmental Program in Bioinformatics, University of California, Los Angeles, CA, USA.
Anke Tönjes
Peter Kovacs
Arnd Gross
Daniel Wegmann
Patrick Geary
Daniela Gasperikova
Iwar Klimes
Markus Scholz
John Novembre
Michael Stumvoll

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population isolates have long been of interest to genetic epidemiologists because of their potential to increase power to detect disease-causing genetic variants. The Sorbs of Germany are considered as cultural and linguistic isolates and have recently been the focus of disease association mapping efforts. They are thought to have settled in their present location in eastern Germany after a westward migration from a largely Slavic-speaking territory during the Middle Ages. To examine Sorbian genetic diversity within the context of other European populations, we analyzed genotype data for over 30 000 autosomal single-nucleotide polymorphisms from over 200 Sorbs individuals. We compare the Sorbs with other European individuals, including samples from population isolates. Despite their geographical proximity to German speakers, the Sorbs showed greatest genetic similarity to Polish and Czech individuals, consistent with the linguistic proximity of Sorbian to other West Slavic languages. The Sorbs also showed evidence of subtle levels of genetic isolation in comparison with samples from non-isolated European populations. The level of genetic isolation was less than that observed for the Sardinians and French Basque, who were clear outliers on multiple measures of isolation. The finding of the Sorbs as only a minor genetic isolate demonstrates the need to genetically characterize putative population isolates, as they possess a wide range of levels of isolation because of their different demographic histories.

Indexed as

Genetic VariationEthnicityFemaleGenotypeGermanyHumansPolymorphism, Single NucleotideSlovakiaWhite People

Identifiers

PMID21559053
PMCPMC3179365

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.