Evidence map›Paper›PMID 14610288›Full record

ReviewImmunologic research2003

Human genetics of common mycobacterial infections.

Natascha Remus, Alexandre Alcaïs, Laurent Abel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. Association ofFrontiers in immunology · 2020
    Article
  2. Article
  3. Small RNAs in mycobacteria: an unfolding story.Frontiers in cellular and infection microbiology · 2014
    Review
  4. Article
  5. Article
  6. Leprosy and the human genome.Microbiology and molecular biology reviews : MMBR · 2010
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Tuberculosis Infection: Insight from Immunogenomics.Drug discovery today. Disease mechanisms · 2007
    Article
  13. Article
  14. 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 at 2 institutions in 1 country.

Natascha RemusLaboratory of Human Genetics of Infectious Diseases, Necker Medical School, Paris, France.
Alexandre Alcaïs
Laurent Abel
Inserm · FRInstitut de Génétique Humaine · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is increasing interest in and understanding of the role of human genetic factors controlling susceptibility/resistance to infectious diseases. This is of particular importance for the two most common mycobacterial infections, tuberculosis and leprosy, because this will allow a genetic dissection of antimycobacterial immunity and should open new fields of preventive and therapeutic measures. In this review we will initially discuss various methods of genetic epidemiology that have been and are being developed to identify human genes controlling infectious diseases, and then illustrate the findings obtained in the numerous studies performed in tuberculosis and leprosy. Although the most convincing results were observed for HLA-DR2 and NRAMP1 (or a closely linked gene) in pulmonary tuberculosis and leprosy subtypes and for a 10p13 locus in paucibacillary leprosy, the molecular basis of their effects remains to be established.

Indexed as

Cation Transport ProteinsGenetic LinkageGenetic Predisposition to DiseaseHLA-DR2 AntigenHumansLamininLeprosyMajor Histocompatibility ComplexMannose-Binding LectinNatural Resistance-associated Macrophage Protein 1Receptors, CalcitriolTuberculosisCation Transport ProteinsHLA-DR2 AntigenLamininlaminin alpha 2Mannose-Binding LectinNatural Resistance-associated Macrophage Protein 1Receptors, Calcitriol

Identifiers

PMID14610288
OpenAlexW2084129860

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.