Evidence map›Paper›PMID 28597127›Full record

ArticleEuropean journal of epidemiology2017

The interaction between smoking and HLA genes in multiple sclerosis: replication and refinement.

Anna Karin Hedström, Michail Katsoulis, Ola Hössjer, Izaura L Bomfim, Annette Oturai, Helle Bach Sondergaard, Finn Sellebjerg, Henrik Ullum, Lise Wegner Thørner, Marte Wendel Gustavsen and 9 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Observational
  8. Risk Factors from Pregnancy to Adulthood in Multiple Sclerosis Outcome.International journal of molecular sciences · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Mining Complex Genetic Patterns Conferring Multiple Sclerosis Risk.International journal of environmental research and public health · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Environmental Influencers, MicroRNA, and Multiple Sclerosis.Journal of central nervous system disease · 2020
    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

19 authors at 10 institutions in 6 countries.

Anna Karin HedströmInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. anna.hedstrom@ki.se.ORCID 0000-0002-6612-4749
Michail KatsoulisUCL/Farr Institute of Health Informatics Research, London, UK.
Ola HössjerMathematical Statistics, Stockholm University, Stockholm, Sweden.
Izaura L BomfimNeuroimmunology Unit, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Annette OturaiDanish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Helle Bach SondergaardDanish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Finn SellebjergDanish Multiple Sclerosis Center, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Henrik UllumDepartment of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark.
Lise Wegner ThørnerDepartment of Clinical Immunology, Copenhagen University Hospital, Copenhagen, Denmark.
Marte Wendel GustavsenDepartment of Neurology, Oslo University Hospital, Ullevål, Oslo, Norway.
Hanne F HarboDepartment of Neurology, Oslo University Hospital, Ullevål, Oslo, Norway.
Dragana ObradovicDepartment of Neurology, Military Medical Academy, Belgrade, Serbia.
Milena A GianfrancescoGenetic Epidemiology and Genomics Lab, Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3220, USA.
Lisa F BarcellosGenetic Epidemiology and Genomics Lab, Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720-3220, USA.
Catherine A SchaeferKaiser Permanente Division of Research, Oakland, CA, 94612, USA.
Jan HillertNeuroimmunology Unit, Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Solna, Sweden.
Ingrid KockumNeuroimmunology Unit, Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Solna, Sweden.
Tomas OlssonNeuroimmunology Unit, Department of Clinical Neuroscience and Center for Molecular Medicine, Karolinska Institutet at Karolinska University Hospital, Solna, Sweden.
Lars AlfredssonInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SEUniversity of Copenhagen · DKCopenhagen University Hospital · DKOslo University Hospital · NOUniversity of California, Berkeley · USFarr Institute · GBKaiser Permanente · USMilitary Medical Academy · RSStockholm University · SE

Funding

The Identification of Risk Factors for the Complex MS PhenotypeR01AI076544 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2008 to 2012
$3.6M
Novel Strategies to Identify GxE Contributions to MS PathogenesisR01ES017080 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BARCELLOS, LISA F · 2011 to 2015
$3.0M
NIAID NIH HHS R01 AI076544NIEHS NIH HHS R01 ES017080
6 · The paper itself

Abstract

Interactions between environment and genetics may contribute to multiple sclerosis (MS) development. We investigated whether the previously observed interaction between smoking and HLA genotype in the Swedish population could be replicated, refined and extended to include other populations. We used six independent case-control studies from five different countries (Sweden, Denmark, Norway, Serbia, United States). A pooled analysis was performed for replication of previous observations (7190 cases, 8876 controls). Refined detailed analyses were carried out by combining the genetically similar populations from the Nordic studies (6265 cases, 8401 controls). In both the pooled analyses and in the combined Nordic material, interactions were observed between HLA-DRB*15 and absence of HLA-A*02 and between smoking and each of the genetic risk factors. Two way interactions were observed between each combination of the three variables, invariant over categories of the third. Further, there was also a three way interaction between the risk factors. The difference in MS risk between the extremes was considerable; smokers carrying HLA-DRB1*15 and lacking HLA-A*02 had a 13-fold increased risk compared with never smokers without these genetic risk factors (OR 12.7, 95% CI 10.8-14.9). The risk of MS associated with HLA genotypes is strongly influenced by smoking status and vice versa. Since the function of HLA molecules is to present peptide antigens to T cells, the demonstrated interactions strongly suggest that smoking alters MS risk through actions on adaptive immunity.

Indexed as

Genetic Predisposition to DiseaseCase-Control StudiesFemaleGene-Environment InteractionGenotypeHLA-A AntigensHLA-DRB1 ChainsHumansMaleMiddle AgedMultiple SclerosisRisk FactorsSmokingSwedenHLA-A AntigensHLA-DRB1 ChainsGene–environment interactionHLAMultiple sclerosisSmoking

Identifiers

PMID28597127
PMCPMC5680370
OpenAlexW2622684067

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.