Evidence map›Paper›PMID 16941108›Full record

ReviewSpringer seminars in immunopathology2006

Current topics in human SLE genetics.

Maida Wong, Betty P Tsao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Springer seminars in immunopathology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Association ofChinese medical journal · 2018
    Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. HLA-DRB1Frontiers in medicine · 2020
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Fatigue in systemic lupus erythematosus.International journal of clinical rheumatology · 2012
    Article
  19. Article
  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 at 1 institution in 1 country.

Maida WongDivision of Rheumatology, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095-1670, USA.
Betty P Tsao
University of California, Los Angeles · US

Funding

CHROMOSOME REGIONS LINKED TO SLE IN MULTIPLEX FAMILIESR01AR043814 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSAO, BETTY P · 1997 to 2012
$5.7M
CHROMOSOME REGIONS LINKED TO SLE IN MULTIPLEX FAMILIESR55AR043814 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSAO, BETTY P. · 1996 to 1996
–
NIAMS NIH HHS AR43814
6 · The paper itself

Abstract

Susceptibility to systemic lupus erythematosus (SLE) depends on genetic and environmental factors. Genome scan studies have identified eight chromosomal regions with significant linkage to SLE that are confirmed by individual cohorts, suggesting that susceptibility genes may be identified within each of these loci. Linkage studies and single nucleotide polymorphisms (SNPs) have led to the identification of positional candidate genes, and their functional allelic variants have demonstrated molecular pathogenesis of the disease. The discovery of positional candidate genes that are associated with various autoimmune diseases signifies a common pathway in the mechanism of these diseases. Copy polymorphisms in susceptibility genes provide evidence in how genetic plasticity affects complex phenotypes as seen in SLE.

Indexed as

Genetic LinkageGenetic Predisposition to DiseaseGenome, HumanPolymorphism, Single NucleotideQuantitative Trait LociHumansLupus Erythematosus, SystemicPhenotype

Identifiers

PMID16941108
OpenAlexW2070899683

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.