Evidence map›Paper›PMID 31747936›Full record

ReviewGenome biology2019

Structural variant calling: the long and the short of it.

Medhat Mahmoud, Nastassia Gobet, Diana Ivette Cruz-Dávalos, Ninon Mounier, Christophe Dessimoz, Fritz J Sedlazeck

Abstract readReview
In one paragraph

Review in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 439 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
439citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Somatic mutations and genome mosaicism in aging and disease.Experimental & molecular medicine · 2026
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

379 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

6 authors.

Medhat MahmoudHuman Genome Sequencing Center, Baylor College of Medicine, Houston, USA.
Nastassia GobetCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland.
Diana Ivette Cruz-DávalosSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Ninon MounierSwiss Institute of Bioinformatics, Lausanne, Switzerland.
Christophe DessimozCenter for Integrative Genomics, University of Lausanne, Lausanne, Switzerland. Christophe.Dessimoz@unil.ch.
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, USA. fritz.sedlazeck@bcm.edu.ORCID 0000-0001-6040-2691

Funding

Genomic Architecture of Common Disease in Diverse Populations: WGS of Ongoing Hemorrhagic Stroke Study SupplementUM1HG008898 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2016 to 2020
$77.0M
NHGRI NIH HHS UM1 HG008898
6 · The paper itself

Abstract

Recent research into structural variants (SVs) has established their importance to medicine and molecular biology, elucidating their role in various diseases, regulation of gene expression, ethnic diversity, and large-scale chromosome evolution-giving rise to the differences within populations and among species. Nevertheless, characterizing SVs and determining the optimal approach for a given experimental design remains a computational and scientific challenge. Multiple approaches have emerged to target various SV classes, zygosities, and size ranges. Here, we review these approaches with respect to their ability to infer SVs across the full spectrum of large, complex variations and present computational methods for each approach.

Indexed as

Genomic Structural VariationAnimalsGenomicsHumansDe novo assemblyGene fusionHybridLong-readMappingRNA-SeqShort-readStructural variant (SV) detection

Identifiers

PMID31747936
PMCPMC6868818

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.