Evidence map›Paper›PMID 17953491›Full record

ArticlePLoS genetics2007

Copy number variants and common disorders: filling the gaps and exploring complexity in genome-wide association studies.

Xavier Estivill, Lluís Armengol

Abstract read
In one paragraph

Article in PLoS genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  6. Article
  7. The Association of the Copy Number Variation of theAnimals : an open access journal from MDPI · 2020
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

14 more citing papers are in PubMed but not listed here.

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

2 authors.

Xavier EstivillCenter for Genomic Regulation (CRG), National Genotyping Center (CeGen), CIBERESP, Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain. xavier.estivill@crg.es
Lluís Armengol

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association scans (GWASs) using single nucleotide polymorphisms (SNPs) have been completed successfully for several common disorders and have detected over 30 new associations. Considering the large sample sizes and genome-wide SNP coverage of the scans, one might have expected many of the common variants underpinning the genetic component of various disorders to have been identified by now. However, these studies have not evaluated the contribution of other forms of genetic variation, such as structural variation, mainly in the form of copy number variants (CNVs). Known CNVs account for over 15% of the assembled human genome sequence. Since CNVs are not easily tagged by SNPs, might have a wide range of copy number variability, and often fall in genomic regions not well covered by whole-genome arrays or not genotyped by the HapMap project, current GWASs have largely missed the contribution of CNVs to complex disorders. In fact, some CNVs have already been reported to show association with several complex disorders using candidate gene/region approaches, underpinning the importance of regions not investigated in current GWASs. This reveals the need for new generation arrays (some already in the market) and the use of tailored approaches to explore the full dimension of genome variability beyond the single nucleotide scale.

Indexed as

Genetic VariationPolymorphism, Single NucleotideAnimalsGene DosageGenomeGenome, HumanGenotypeHumansLinkage DisequilibriumModels, BiologicalModels, GeneticNucleotidesPhenotypeSequence Analysis, DNANucleotides

Identifiers

PMID17953491
PMCPMC2039766

What OpenQuestion holds

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Registered trials

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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.