Evidence map›Paper›PMID 14624696›Full record

ArticleJournal of translational medicine2003

Polymorphism in clinical immunology - From HLA typing to immunogenetic profiling.

Ping Jin, Ena Wang

Abstract read
In one paragraph

Article in Journal of translational medicine, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Genetic Association Studies ofDiagnostics (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Immunomodulation and immunotherapeutics of COVID-19.Clinical immunology (Orlando, Fla.) · 2021
    Review
  8. Association betweenGenes · 2021
    Article
  9. Microbiota and Ocular Diseases.Frontiers in cellular and infection microbiology · 2021
    Review
  10. Article
  11. HLA polymorphism and tapasin independence influence outcomes of HIV and dengue virus infection.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

2 authors.

Ping JinImmunogenetics Section - Department of Transfusion Medicine - Clinical Center - National Institutes of Health Bethesda, Maryland USA. EWang@mail.cc.nih.gov
Ena Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathology of humans, in contrast to that of inbred laboratory animals faces the challenge of diversity addressed in genetic terms as polymorphism. Thus, unsurprisingly, treatment modalities that successfully can be applied to carefully-selected pre-clinical models only sporadically succeed in the clinical arena. Indeed, pre-fabricated experimental models purposefully avoid the basic essence of human pathology: the uncontrollable complexity of disease heterogeneity and the intrinsic diversity of human beings. Far from pontificating on this obvious point, this review presents emerging evidence that the study of complex system such as the cytokine network is further complicated by inter-individual differences dictated by increasingly recognized polymorphisms. Polymorphism appears widespread among genes of the immune system possibly resulting from an evolutionary adaptation of the organism facing an ever evolving environment. We will refer to this high variability of immune-related genes as immune polymorphism. In this review we will briefly highlight the possible clinical relevance of immune polymorphism and suggest a change in the approach to the study of human pathology, from the targeted study of individual systems to a broader view of the organism as a whole through immunogenetic profiling.

Identifiers

PMID14624696
PMCPMC280736

What OpenQuestion holds

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Registered trials

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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.