Evidence map›Paper›PMID 29925982›Full record

ReviewNature immunology2018

Approaches and advances in the genetic causes of autoimmune disease and their implications.

Jamie R J Inshaw, Antony J Cutler, Oliver S Burren, M Irina Stefana, John A Todd

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. New insights into pathogenesis of IgA nephropathy.International urology and nephrology · 2022
    Review
  11. Host gene effects on gut microbiota in type 1 diabetes.Biochemical Society transactions · 2022
    Review
  12. Article
  13. Review
  14. Leveraging diet to engineer the gut microbiome.Nature reviews. Gastroenterology & hepatology · 2021
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. IL-6 in inflammation, autoimmunity and cancer.International immunology · 2021
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Jamie R J InshawJDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-7003-8966
Antony J CutlerJDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-9617-9994
Oliver S BurrenDepartment of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK.
M Irina StefanaJDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
John A ToddJDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK. jatodd@well.ox.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies are transformative in revealing the polygenetic basis of common diseases, with autoimmune diseases leading the charge. Although the field is just over 10 years old, advances in understanding the underlying mechanistic pathways of these conditions, which result from a dense multifactorial blend of genetic, developmental and environmental factors, have already been informative, including insights into therapeutic possibilities. Nevertheless, the challenge of identifying the actual causal genes and pathways and their biological effects on altering disease risk remains for many identified susceptibility regions. It is this fundamental knowledge that will underpin the revolution in patient stratification, the discovery of therapeutic targets and clinical trial design in the next 20 years. Here we outline recent advances in analytical and phenotyping approaches and the emergence of large cohorts with standardized gene-expression data and other phenotypic data that are fueling a bounty of discovery and improved understanding of human physiology.

Indexed as

Autoimmune DiseasesChromosome MappingGenetic VariationGenome-Wide Association StudyHumansInfectionsMicrobiotaRandom AllocationSample Size

Identifiers

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.