Evidence map›Paper›PMID 34049995›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2021

Gene-Environment Interactions in Multiple Sclerosis: A UK Biobank Study.

Benjamin Meir Jacobs, Alastair J Noyce, Jonathan Bestwick, Daniel Belete, Gavin Giovannoni, Ruth Dobson

Open access · goldAbstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Big data in multiple sclerosis.Current opinion in neurology · 2026
    Review
  5. Towards primary prevention of multiple sclerosis.Nature reviews. Neurology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Plasma proteomic profiles of UK Biobank participants with multiple sclerosis.Annals of clinical and translational neurology · 2024
    Article
  16. Article
  17. Review
  18. Article
  19. Antibody Cross-Reactivity in Auto-Immune Diseases.International journal of molecular sciences · 2023
    Review
  20. 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

6 authors at 1 institution in 1 country.

Benjamin Meir JacobsFrom the Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and Queen Mary University of London; and Royal London Hospital, Barts Health NHS Trust.ORCID 0000-0002-6023-6010
Alastair J NoyceFrom the Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and Queen Mary University of London; and Royal London Hospital, Barts Health NHS Trust.
Jonathan BestwickFrom the Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and Queen Mary University of London; and Royal London Hospital, Barts Health NHS Trust.
Daniel BeleteFrom the Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and Queen Mary University of London; and Royal London Hospital, Barts Health NHS Trust.
Gavin GiovannoniFrom the Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and Queen Mary University of London; and Royal London Hospital, Barts Health NHS Trust.
Ruth DobsonFrom the Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Barts and Queen Mary University of London; and Royal London Hospital, Barts Health NHS Trust. ruth.dobson@qmul.ac.uk.
Queen Mary University of London · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

objectiveWe sought to determine whether genetic risk modifies the effect of environmental risk factors for multiple sclerosis (MS). To test this hypothesis, we tested for statistical interaction between polygenic risk scores (PRS) capturing genetic susceptibility to MS and environmental risk factors for MS in UK Biobank.

methodsPeople with MS were identified within UK Biobank using

resultsData were available for 2,250 people with MS and 486,000 controls. Childhood obesity, earlier age at menarche, and smoking were associated with MS. The optimal PRS were strongly associated with MS in the validation cohort (PRS

conclusionsThis study provides novel evidence for an interaction between childhood obesity and a high burden of autosomal genetic risk. These findings may have significant implications for our understanding of MS biology and inform targeted prevention strategies.

Indexed as

Gene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyAdultAgedBiological Specimen BanksCase-Control StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedMultifactorial InheritanceMultiple SclerosisPediatric ObesityRisk Factors

Identifiers

PMID34049995
PMCPMC8192056
OpenAlexW3164664825

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.