Evidence map›Paper›PMID 36583554›Full record

ReviewRheumatology (Oxford, England)2023

Genetics of SLE: does this explain susceptibility and severity across racial groups?

Karin Demkova, David L Morris, Timothy J Vyse

Abstract readReview
In one paragraph

Review in Rheumatology (Oxford, England), 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
–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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Genetic Sequencing in Saudi Patients with Systemic Lupus Erythematosus.Open access rheumatology : research and reviews · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Lupus nephritis.Nature reviews. Disease primers · 2025
    Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. 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.

Karin DemkovaDepartment of Medical and Molecular Genetics, King's College London, Guy's Hospital, London, UK.
David L MorrisDepartment of Medical and Molecular Genetics, King's College London, Guy's Hospital, London, UK.ORCID 0000-0002-1754-8932
Timothy J VyseDepartment of Medical and Molecular Genetics, King's College London, Guy's Hospital, London, UK.ORCID 0000-0003-1123-1464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence and severity of SLE have been found to vary across populations of different ancestries. This review explores whether these differences can be explained by the genetic aetiology of the condition. Large genetic studies suggest that populations of different ancestry share the same risk loci but individual risk alleles are more common in some, leading to a higher prevalence and severity and an earlier onset of the condition. Despite many of the loci being shared across populations, some have been found to be ancestry specific and these are hypothesized to have undergone differential selective pressure in recent human history. Additionally, the effectiveness of some of the drugs used in SLE has been found to vary across ancestries, which might affect progression of the disease, but it is unclear whether these differences are pharmacogenetic. We concluded that to understand the full role of genetics in the risk, presentation and response to treatment of SLE, larger studies including individuals from a wider representation of ancestries will be required.

Indexed as

Genetic Predisposition to DiseaseLupus Erythematosus, SystemicHumansPolymorphism, Single NucleotidePrevalenceRacial Groupsancestry

Identifiers

PMID36583554
PMCPMC10050932

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.