Evidence map›Paper›PMID 32664585›Full record

ReviewInternational journal of molecular sciences2020

Genetic Polymorphisms Associated with Rheumatoid Arthritis Development and Antirheumatic Therapy Response.

Dmitry S Mikhaylenko, Marina V Nemtsova, Irina V Bure, Ekaterina B Kuznetsova, Ekaterina A Alekseeva, Vadim V Tarasov, Alexander N Lukashev, Marina I Beloukhova, Andrei A Deviatkin, Andrey A Zamyatnin

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. microRNAs as Biomarkers and Therapeutic Targets in Rheumatoid Arthritis.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Iranian journal of pathology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Genes · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Role of Liquid Biopsies in Rheumatoid Arthritis.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
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

10 authors.

Dmitry S MikhaylenkoInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0001-9780-8708
Marina V NemtsovaInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Irina V BureInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Ekaterina B KuznetsovaInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Ekaterina A AlekseevaInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Vadim V TarasovDepartment of Pharmacology and Pharmacy, Sechenov First Moscow State Medical University, 119991 Moscow, Russia.
Alexander N LukashevInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Marina I BeloukhovaInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Andrei A DeviatkinInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0003-0789-4601
Andrey A ZamyatninInstitute of Molecular Medicine, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-3046-4565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is the most common inflammatory arthropathy worldwide. Possible manifestations of RA can be represented by a wide variability of symptoms, clinical forms, and course options. This multifactorial disease is triggered by a genetic predisposition and environmental factors. Both clinical and genealogical studies have demonstrated disease case accumulation in families. Revealing the impact of candidate gene missense variants on the disease course elucidates understanding of RA molecular pathogenesis. A multivariate genomewide association study (GWAS) based analysis identified the genes and signalling pathways involved in the pathogenesis of the disease. However, these identified RA candidate gene variants only explain 30% of familial disease cases. The genetic causes for a significant proportion of familial RA have not been determined until now. Therefore, it is important to identify RA risk groups in different populations, as well as the possible prognostic value of some genetic variants for disease development, progression, and treatment. Our review has two purposes. First, to summarise the data on RA candidate genes and the increased disease risk associated with these alleles in various populations. Second, to describe how the genetic variants can be used in the selection of drugs for the treatment of RA.

Indexed as

Polymorphism, GeneticAllelesAntirheumatic AgentsArthritis, RheumatoidCytokinesDisease ProgressionDrug ResistanceFemaleGenes, MHC Class IGenes, MHC Class IIGenetic Association StudiesGenetic Predisposition to DiseaseGenetics, PopulationGenome-Wide Association StudyHumansIntracellular Signaling Peptides and ProteinsAntirheumatic AgentsCytokinesIntracellular Signaling Peptides and ProteinsReceptors, Cytokinegenetic predispositioninterleukinmethotrexatemutationpolymorphismrheumatoid arthritistargeted therapy

Identifiers

PMID32664585
PMCPMC7402327

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.