Evidence map›Paper›PMID 19220326›Full record

ReviewClinical and experimental immunology2009

Copy number variation in the human genome and its implication in autoimmunity.

H Schaschl, T J Aitman, T J Vyse

Open access · greenAbstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

44 citing papers in PubMed, 81 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Association ofDisease markers · 2020
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genome-wide association study of copy number variations (CNVs) with opioid dependence.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2015
    Article
  13. Article
  14. Molecular mechanisms in autoimmune type 1 diabetes: a critical review.Clinical reviews in allergy & immunology · 2014
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

3 authors at 2 institutions in 1 country.

H SchaschlImperial College London, Faculty of Medicine, Section of Molecular Genetics and Rheumatology, Hammersmith Campus, London, UK.
T J Aitman
T J Vyse
Imperial College London · GBHammersmith Hospital · GB

Funding

Medical Research Council MC_U120061454Wellcome Trust 083167/Z07/Z
6 · The paper itself

Abstract

The causes of autoimmune disease remain poorly defined. However, it is known that genetic factors contribute to disease susceptibility. Hitherto, studies have focused upon single nucleotide polymorphisms as both tools for mapping and as probable causal variants. Recent studies, using genome-wide analytical techniques, have revealed that, in the genome, segments of DNA ranging in size from kilobases to megabases can vary in copy number. These changes of DNA copy number represent an important element of genomic polymorphism in humans and in other species and may therefore make a substantial contribution to phenotypic variation and population differentiation. Furthermore, copy number variation (CNV) in genomic regions harbouring dosage-sensitive genes may cause or predispose to a variety of human genetic diseases. Several recent studies have reported an association between CNV and autoimmunity in humans such as systemic lupus, psoriasis, Crohn's disease, rheumatoid arthritis and type 1 diabetes. The use of novel analytical techniques facilitates the study of complex human genomic structures such as CNV, and allows new susceptibility loci for autoimmunity to be found that are not readily mappable by single nucleotide polymorphism-based association analyses alone.

Indexed as

Gene DosageAutoimmune DiseasesAutoimmunityGenetic Predisposition to DiseaseGenetic VariationHumans

Identifiers

PMID19220326
PMCPMC2673736
OpenAlexW2161544859

What OpenQuestion holds

Textmetadata
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.