Evidence map›Paper›PMID 21829696›Full record

ArticlePloS one2011

Copy number variation across European populations.

Wanting Chen, Caroline Hayward, Alan F Wright, Andrew A Hicks, Veronique Vitart, Sara Knott, Sarah H Wild, Peter P Pramstaller, James F Wilson, Igor Rudan and 1 more

Abstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

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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.

Wanting ChenMedical Genetics Section, Centre for Molecular Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road South, Edinburgh, United Kingdom.
Caroline Hayward
Alan F Wright
Andrew A Hicks
Veronique Vitart
Sara Knott
Sarah H Wild
Peter P Pramstaller
James F Wilson
Igor Rudan
David J Porteous

Funding

Chief Scientist Office CZB/4/285Chief Scientist Office CZB/4/710Chief Scientist Office CZD/16/6/2Medical Research Council MC_PC_U127561128Medical Research Council MC_U127561128Wellcome Trust
6 · The paper itself

Abstract

Genome analysis provides a powerful approach to test for evidence of genetic variation within and between geographical regions and local populations. Copy number variants which comprise insertions, deletions and duplications of genomic sequence provide one such convenient and informative source. Here, we investigate copy number variants from genome wide scans of single nucleotide polymorphisms in three European population isolates, the island of Vis in Croatia, the islands of Orkney in Scotland and the South Tyrol in Italy. We show that whereas the overall copy number variant frequencies are similar between populations, their distribution is highly specific to the population of origin, a finding which is supported by evidence for increased kinship correlation for specific copy number variants within populations.

Indexed as

DNA Copy Number VariationsGenetics, PopulationCroatiaFemaleHaplotypesHumansItalyMalePedigreePolymorphism, Single NucleotideScotlandWhite People

Identifiers

PMID21829696
PMCPMC3150386

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.