Evidence map›Paper›PMID 20510233›Full record

ReviewRheumatic diseases clinics of North America2010

Leveraging human genetics to develop future therapeutic strategies in rheumatoid arthritis.

Robert M Plenge, Soumya Raychaudhuri

Abstract readReview
In one paragraph

Review in Rheumatic diseases clinics of North America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Robert M PlengeDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Harvard Medical School, 77 Avenue Louis Pasteur, Suite 168, Boston, MA 02115, USA. rplenge@partners.org <rplenge@partners.org>
Soumya Raychaudhuri

Funding

Dissection of two rheumatoid arthritis risk loci from genome-wide studiesR01AR056768 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B. · 2009 to 2013
$1.9M
Bioinformatics and Population Genetics to Identify Rheumatoid Arthritis GenesK08AR055688 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI RAYCHAUDHURI, SOUMYA · 2008 to 2012
$724k
Meta-analysis of GWAS data to identify novel rheumatoid arthritis risk lociR01AR057108 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI PLENGE, ROBERT M · 2009 to 2010
$557k
NIAMS NIH HHS K08 AR055688NIAMS NIH HHS R01 AR056768NIAMS NIH HHS R01 AR057108
6 · The paper itself

Abstract

The purpose of this article is to place these genetic discoveries in the context of current and future therapeutic strategies for patients with RA. More specifically, this article focuses on (1) a brief overview of genetic studies, (2) human genetics as an approach to identify the Achilles heel of disease pathways, (3) humans as the model organism for functional studies of human mutations, (4) pharmacogenetic studies to gain insight into the mechanism of action of drugs, and (5) next-generation patient registries to enable large-scale genotype-phenotype studies.

Indexed as

Antirheumatic AgentsArthritis, RheumatoidDrug DiscoveryGenotypeHumansPharmacogeneticsPhenotypeRegistriesRisk FactorsAntirheumatic Agents

Identifiers

PMID20510233
PMCPMC2879392

What OpenQuestion holds

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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.