Evidence map›Paper›PMID 29947173›Full record

ReviewEndocrinology and metabolism (Seoul, Korea)2018

Genetic Polymorphism Predisposing to Differentiated Thyroid Cancer: A Review of Major Findings of the Genome-Wide Association Studies.

Vladimir A Saenko, Tatiana I Rogounovitch

Abstract readReview
In one paragraph

Review in Endocrinology and metabolism (Seoul, Korea), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Genetic and Epigenetic Association ofInternational journal of molecular sciences · 2024
    Article
  6. Review
  7. Radiation-Related Thyroid Cancer.Endocrine reviews · 2024
    Review
  8. Review
  9. Review
  10. Disease-associated non-coding variants alter NKX2-5 DNA-binding affinity.Biochimica et biophysica acta. Gene regulatory mechanisms · 2023
    Article
  11. Article
  12. Article
  13. Genetic susceptibility to hereditary non-medullary thyroid cancer.Hereditary cancer in clinical practice · 2022
    Review
  14. Review
  15. Article
  16. Incidence of theCancers · 2021
    Article
  17. Endocrine oncology (Bristol, England) · 2021
    Article
  18. Review
  19. Article
  20. Observational
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

2 authors.

Vladimir A SaenkoDepartment of Radiation Molecular Epidemiology, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan. saenko@nagasaki-u.ac.jp.ORCID https://orcid.org/0000-0003-2844-3121
Tatiana I RogounovitchDepartment of Global Health, Medicine and Welfare, Atomic Bomb Disease Institute, Nagasaki University, Nagasaki, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid cancer has one of the highest hereditary component among human malignancies as seen in medical epidemiology investigations, suggesting the potential meaningfulness of genetic studies. Here we review researches into genetic variations that influence the chance of developing non-familial differentiated thyroid cancer (DTC), focusing on the major findings of the genome-wide association studies (GWASs) of common single-nucleotide polymorphisms (SNPs). To date, eight GWAS have been performed, and the association of a number of SNPs have been reproduced in dozens of replication investigations across different ethnicities, including Korea and Japan. Despite the cumulative effect of the strongest SNPs demonstrates gradual increase in the risk for cancer and their association signals are statistically quite significant, the overall prediction ability for DTC appears to be very limited. Thus, genotyping of common SNPs only would be insufficient for evidence-based counseling in clinical setting at present. Further studies to include less significant and rare SNPs, non-SNP genetic information, gene-gene interactions, ethnicity, non-genetic and environmental factors, and development of more advanced computational algorithms are warranted to approach to personalized disease risk prediction and prognostication.

Indexed as

Genetic lociGenetic predisposition to diseaseGenetic testingGenome-wide association studyPolymorphism, single nucleotideThyroid neoplasms

Identifiers

PMID29947173
PMCPMC6021315

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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.