Evidence map›Paper›PMID 36833419›Full record

ArticleGenes2023

Challenges and Opportunities for Clinical Cytogenetics in the 21st Century.

Eric Heng, Sanjana Thanedar, Henry H Heng

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Tracking Karyotype Changes in Treatment-Induced Drug-Resistant Evolution.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Studying the Dynamics of Tunneling Tubes and Cellular Spheres.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. The Digital World of Cytogenetic and Cytogenomic Web Resources.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  12. The New Era of Cancer Cytogenetics and Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Review
  14. Optical Genome Mapping: A Machine-Based Platform in Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. 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.

Eric HengStanford University, 450 Jane Stanford Way, Stanford, CA 94305, USA.
Sanjana ThanedarMolecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI 48201, USA.
Henry H HengMolecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI 48201, USA.ORCID 0000-0003-1475-9547
Wayne State University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The powerful utilities of current DNA sequencing technology question the value of developing clinical cytogenetics any further. By briefly reviewing the historical and current challenges of cytogenetics, the new conceptual and technological platform of the 21st century clinical cytogenetics is presented. Particularly, the genome architecture theory (GAT) has been used as a new framework to emphasize the importance of clinical cytogenetics in the genomic era, as karyotype dynamics play a central role in information-based genomics and genome-based macroevolution. Furthermore, many diseases can be linked to elevated levels of genomic variations within a given environment. With karyotype coding in mind, new opportunities for clinical cytogenetics are discussed to integrate genomics back into cytogenetics, as karyotypic context represents a new type of genomic information that organizes gene interactions. The proposed research frontiers include: 1. focusing on karyotypic heterogeneity (e.g., classifying non-clonal chromosome aberrations (NCCAs), studying mosaicism, heteromorphism, and nuclear architecture alteration-mediated diseases), 2. monitoring the process of somatic evolution by characterizing genome instability and illustrating the relationship between stress, karyotype dynamics, and diseases, and 3. developing methods to integrate genomic data and cytogenomics. We hope that these perspectives can trigger further discussion beyond traditional chromosomal analyses. Future clinical cytogenetics should profile chromosome instability-mediated somatic evolution, as well as the degree of non-clonal chromosomal aberrations that monitor the genomic system's stress response. Using this platform, many common and complex disease conditions, including the aging process, can be effectively and tangibly monitored for health benefits.

Indexed as

Chromosomal InstabilityMosaicismCytogeneticsGenomicsHumansKaryotypingchromosome instability (CIN)chromosomicscytogenomicsFISHgenome instabilityheteromorphismkaryotype codingmosaicismnon-clonal chromosome aberrations (NCCAs)two-phased cancer evolution

Identifiers

PMID36833419
PMCPMC9956237
OpenAlexW4320917762

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.