Evidence map›Paper›PMID 30137632›Full record

ArticleNucleic acids research2018

Human copy number variants are enriched in regions of low mappability.

Jean Monlong, Patrick Cossette, Caroline Meloche, Guy Rouleau, Simon L Girard, Guillaume Bourque

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Inherited duplications of PPP2R3B predispose to nevi and melanoma via a C21orf91-driven proliferative phenotype.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

6 authors.

Jean MonlongDepartment of Human Genetics, McGill University, Montréal H3A 1B1, Canada.
Patrick CossetteCentre de Recherche du Centre Hospitalier de l'Universite de Montréal, Montréal H2X 0A9, Canada.
Caroline MelocheCentre de Recherche du Centre Hospitalier de l'Universite de Montréal, Montréal H2X 0A9, Canada.
Guy RouleauMontreal Neurological Institute, McGill University, Montréal H3A 2B4, Canada.
Simon L GirardDepartment of Human Genetics, McGill University, Montréal H3A 1B1, Canada.
Guillaume BourqueDepartment of Human Genetics, McGill University, Montréal H3A 1B1, Canada.

Funding

CIHR CIHR-MOP-115090
6 · The paper itself

Abstract

Copy number variants (CNVs) are known to affect a large portion of the human genome and have been implicated in many diseases. Although whole-genome sequencing (WGS) can help identify CNVs, most analytical methods suffer from limited sensitivity and specificity, especially in regions of low mappability. To address this, we use PopSV, a CNV caller that relies on multiple samples to control for technical variation. We demonstrate that our calls are stable across different types of repeat-rich regions and validate the accuracy of our predictions using orthogonal approaches. Applying PopSV to 640 human genomes, we find that low-mappability regions are approximately 5 times more likely to harbor germline CNVs, in stark contrast to the nearly uniform distribution observed for somatic CNVs in 95 cancer genomes. In addition to known enrichments in segmental duplication and near centromeres and telomeres, we also report that CNVs are enriched in specific types of satellite and in some of the most recent families of transposable elements. Finally, using this comprehensive approach, we identify 3455 regions with recurrent CNVs that were missing from existing catalogs. In particular, we identify 347 genes with a novel exonic CNV in low-mappability regions, including 29 genes previously associated with disease.

Indexed as

DNA Copy Number VariationsCentromereChromosome MappingGenome, HumanGenomicsHumansNeoplasmsPolymorphism, Single NucleotideRepetitive Sequences, Nucleic AcidReproducibility of ResultsTelomereWhole Genome Sequencing

Identifiers

PMID30137632
PMCPMC6101599

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.