Evidence map›Paper›PMID 17397242›Full record

ReviewMolecular diagnosis & therapy2007

Comparative genomic hybridization arrays in clinical pathology: progress and challenges.

Shelly R Gunn, Ryan S Robetorye, Mansoor S Mohammed

Abstract readComparative StudyEvaluation StudyReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2007. 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
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Canine cytogenetics--from band to basepair.Cytogenetic and genome research · 2008
    Review
  7. 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.

Shelly R GunnDepartment of Pathology, University of Texas Health Science Center, San Antonio, Texas 78229-3900, USA. gunn@uthscsa.edu
Ryan S Robetorye
Mansoor S Mohammed
The University of Texas Health Science Center at San Antonio · USCombiMatrix · US

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Lei Zheng · 1991 to 2026
$59.1M
NCI NIH HHS P30 CA54174
6 · The paper itself

Abstract

Array-based comparative genomic hybridization (array CGH) genome scanning is a powerful method for the global detection of gains and losses of genetic material in both congenital and neoplastic disorders. When used as a clinical diagnostic test, array CGH combines the whole genome perspective of traditional G-banded cytogenetics with the targeted identification of cryptic chromosomal abnormalities characteristic of fluorescence in situ hybridization (FISH). However, the presence of structural variants in the human genome can complicate analysis of patient samples, and array CGH does not provide morphologic information about chromosome structure, balanced translocations, or the actual chromosomal location of segmental duplications. Identification of such anomalies has significant diagnostic and prognostic implications for the patient. We therefore propose that array CGH should be used as a guide to the presence of genomic structural rearrangements in germline and tumor genomes that can then be further characterized by FISH or G-banding, depending on the clinical scenario. In this article, we share some of our experiences with diagnostic array CGH and discuss recent progress and challenges involved with the integration of array CGH into clinical laboratory medicine.

Indexed as

Chromosome BandingCongenital AbnormalitiesGene DosageGenes, NeoplasmGenome, HumanHumansMicroarray AnalysisMolecular Diagnostic TechniquesNucleic Acid HybridizationPathology, Clinical

Identifiers

PMID17397242
OpenAlexW2186470857

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.