Evidence map›Paper›PMID 40869953›Full record

ReviewGenes2025

Structural Variants: Mechanisms, Mapping, and Interpretation in Human Genetics.

Shruti Pande, Moez Dawood, Christopher M Grochowski

Abstract readReview
In one paragraph

Review in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Shruti PandeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Moez DawoodDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Christopher M GrochowskiDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-3884-7720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variations (SVs) represent genomic variations that involve breakage and rejoining of DNA segments. SVs can alter normal gene dosage, lead to rearrangements of genes and regulatory elements within a topologically associated domain, and potentially contribute to physical traits, genomic disorders, or complex traits. Recent advances in sequencing technologies and bioinformatics have greatly improved SV detection and interpretation at unprecedented resolution and scale. Despite these advances, the functional impact of SVs, the underlying SV mechanism(s) contributing to complex traits, and the technical challenges associated with SV detection and annotation remain active areas of research. This review aims to provide an overview of structural variations, their mutagenesis mechanisms, and their detection in the genomics era, focusing on the biological significance, methodologies, and future directions in the field.

Indexed as

Genome, HumanGenomic Structural VariationHuman GeneticsChromosome MappingGenomicsHumansmulti-omicsnext-generation sequencingstructural variations (SVs)SV callersSV mutagenesis mechanisms

Identifiers

PMID40869953
PMCPMC12385565

What Socratic 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 Socratic graph.