Evidence map›Paper›PMID 23226033›Full record

ArticlePharmacogenomics and personalized medicine2009

Genomics and proteomics: Applications in autoimmune diseases.

Wolfgang Hueber, William H Robinson

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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 2 countries.

Wolfgang HueberVA Palo Alto Health Care System, Palo Alto, CA, USA; ; Division of Immunology and Rheumatology, Stanford University School of Medicine, Stanford, CA, USA; ; Novartis Institutes of Biomedical Research, Novartis, Basle, Switzerland.
William H Robinson
Stanford University · US

Funding

Tyrosine Kinase Pathways in Rheumatoid ArthritisR01AR054822 · NIAMS · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI ROBINSON, WILLIAM H · 2007 to 2011
$1.5M
Anti-Fibrinogen Autoimmunity in Rheumatoid ArthritisR21AI069160 · NIAID · STANFORD UNIVERSITY · PI ROBINSON, WILLIAM H · 2007 to 2008
$454k
NHLBI PROTEOMICS INITIATIVE-N01HV28183N01HV028183 · HV · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2002 to 2006
–
NHLBI NIH HHS N01 HV028183NIAID NIH HHS R21 AI069160NIAMS NIH HHS R01 AR054822
6 · The paper itself

Abstract

Tremendous progress has been made over the past decade in the development and refinement of genomic and proteomic technologies for the identification of novel drug targets and molecular signatures associated with clinically important disease states, disease subsets, or differential responses to therapies. The rapid progress in high-throughput technologies has been preceded and paralleled by the elucidation of cytokine networks, followed by the stepwise clinical development of pathway-specific biological therapies that revolutionized the treatment of autoimmune diseases. Together, these advances provide opportunities for a long-anticipated personalized medicine approach to the treatment of autoimmune disease. The ever-increasing numbers of novel, innovative therapies will need to be harnessed wisely to achieve optimal long-term outcomes in as many patients as possible while complying with the demands of health authorities and health care providers for evidence-based, economically sound prescription of these expensive drugs. Genomic and proteomic profiling of patients with autoimmune diseases holds great promise in two major clinical areas: (1) rapid identification of new targets for the development of innovative therapies and (2) identification of patients who will experience optimal benefit and minimal risk from a specific (targeted) therapy. In this review, we attempt to capture important recent developments in the application of genomic and proteomic technologies to translational research by discussing informative examples covering a diversity of autoimmune diseases.

Indexed as

2-Dihantigen microarraysautoimmune diseasesCrohn’s diseasegenomicsGWASmultiple sclerosisproteomicsrheumatoid arthritisSLE

Identifiers

PMID23226033
PMCPMC3513200
OpenAlexW2086246134

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.