Evidence map›Paper›PMID 28725948›Full record

ReviewClinical rheumatology2017

Genomics and epigenomics in rheumatic diseases: what do they provide in terms of diagnosis and disease management?

Patricia Castro-Santos, Roberto Díaz-Peña

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Sex and autoimmune disease: Four mechanisms pointing at women.Mediterranean journal of rheumatology · 2019
    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

2 authors at 1 institution in 1 country.

Patricia Castro-SantosFacultad de Ciencias de la Salud, Universidad Autónoma de Chile, 3460000, 5 Poniente, no. 1670, Talca, Chile.
Roberto Díaz-PeñaFacultad de Ciencias de la Salud, Universidad Autónoma de Chile, 3460000, 5 Poniente, no. 1670, Talca, Chile. roberto.diaz@uautonoma.cl.
Universidad Autónoma de Chile · CL

Funding

Fondecyt 11130198
6 · The paper itself

Abstract

Most rheumatic diseases are complex or multifactorial entities with pathogeneses that interact with both multiple genetic factors and a high number of diverse environmental factors. Knowledge of the human genome sequence and its diversity among populations has provided a crucial step forward in our understanding of genetic diseases, identifying many genetic loci or genes associated with diverse phenotypes. In general, susceptibility to autoimmunity is associated with multiple risk factors, but the mechanism of the environmental component influence is poorly understood. Studies in twins have demonstrated that genetics do not explain the totality of the pathogenesis of rheumatic diseases. One method of modulating gene expression through environmental effects is via epigenetic modifications. These techniques open a new field for identifying useful new biomarkers and therapeutic targets. In this context, the development of "-omics" techniques is an opportunity to progress in our knowledge of complex diseases, impacting the discovery of new potential biomarkers suitable for their introduction into clinical practice. In this review, we focus on the recent advances in the fields of genomics and epigenomics in rheumatic diseases and their potential to be useful for the diagnosis, follow-up, and treatment of these diseases. The ultimate aim of genomic studies in any human disease is to understand its pathogenesis, thereby enabling the prediction of the evolution of the disease to establish new treatments and address the development of personalized therapies.

Indexed as

EpigenomicsGenomicsDisease ManagementGenetic MarkersGenetic Predisposition to DiseaseHumansPhenotypeRheumatic DiseasesGenetic MarkersBiomarkerDiagnosisEpigeneticsEpigenomicsGenomicsRheumatic diseases

Identifiers

PMID28725948
OpenAlexW2737123554

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.