Evidence map›Paper›PMID 31782165›Full record

ReviewImmunological reviews2020

Advances in genetics toward identifying pathogenic cell states of rheumatoid arthritis.

Tiffany Amariuta, Yang Luo, Rachel Knevel, Yukinori Okada, Soumya Raychaudhuri

Abstract readReview
In one paragraph

Review in Immunological reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
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  8. Review
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  11. Immunosenescence of T cells: a key player in rheumatoid arthritis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
    Review
  12. Granzyme KScience translational medicine · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Article
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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

5 authors.

Tiffany AmariutaCenter for Data Sciences, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0121-1726
Yang LuoCenter for Data Sciences, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-7385-6166
Rachel KnevelDivisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Yukinori OkadaDivision of Medicine, Osaka University, Osaka, Japan.
Soumya RaychaudhuriCenter for Data Sciences, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1901-8265

Funding

Metabolomics Core U19AI111224 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI MURRAY, MEGAN B, RAYCHAUDHURI, SOUMYA · 2015 to 2021
$20.4M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Discovery and Functional Impact of Common and Rare Variants in RAR01AR063759 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Soumya Raychaudhuri · 2013 to 2026
$5.4M
RA-SLE Molecular Deconstruction Leadership CenterUH2AR067677 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B., RAYCHAUDHURI, SOUMYA · 2014 to 2020
$4.3M
Functionally specialized components of disease heritability in ENCODE dataU01HG009379 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L, RAYCHAUDHURI, SOUMYA · 2017 to 2021
$2.5M
National Institute of Allergy and Infectious Diseases U19AI111224NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U01 HG009379NIAID NIH HHS U19 AI111224NIAMS NIH HHS 1R01AR063759NIAMS NIH HHS R01 AR063759NIAMS NIH HHS UH2 AR067677NIAMS NIH HHS UH2AR067677
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) risk has a large genetic component (~60%) that is still not fully understood. This has hampered the design of effective treatments that could promise lifelong remission. RA is a polygenic disease with 106 known genome-wide significant associated loci and thousands of small effect causal variants. Our current understanding of RA risk has suggested cell-type-specific contexts for causal variants, implicating CD4 + effector memory T cells, as well as monocytes, B cells and stromal fibroblasts. While these cellular states and categories are still mechanistically broad, future studies may identify causal cell subpopulations. These efforts are propelled by advances in single cell profiling. Identification of causal cell subpopulations may accelerate therapeutic intervention to achieve lifelong remission.

Indexed as

AnimalsArthritis, RheumatoidB-LymphocytesCD4-Positive T-LymphocytesFibroblastsGenetic Association StudiesGenetic Predisposition to DiseaseHumansImmunologic MemoryMonocytesRiskarthritisgeneticspolygenicrheumatoidstatistical

Identifiers

PMID31782165
PMCPMC7047592

What OpenQuestion holds

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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.