Evidence map›Paper›PMID 31932686›Full record

ArticleEuropean journal of human genetics : EJHG2020

Transcript specific regulation of expression influences susceptibility to multiple sclerosis.

Maria Ban, Wenjia Liao, Amie Baker, Alastair Compston, John Thorpe, Paul Molyneux, Mary Fraser, Jyoti Khadake, Joanne Jones, Alasdair Coles and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Mapping malignant T-cell states and immune circuits in Sézary syndrome by single-cell analysis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  2. Expression levels ofHeliyon · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Ataxin-1 regulates B cell function and the severity of autoimmune experimental encephalomyelitis.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Maria BanDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK. mb531@medschl.cam.ac.uk.
Wenjia LiaoDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
Amie BakerDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
Alastair CompstonDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
John ThorpeDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
Paul MolyneuxDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
Mary FraserDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
Jyoti KhadakeNIHR BioResource for Translational Research, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust Hills Road, Box 299, Cambridge, CB2 0QQ, UK.
Joanne JonesDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0003-4974-1371
Alasdair ColesDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
Stephen SawcerDepartment of Clinical Neurosciences, Cambridge Biomedical Campus, University of Cambridge, Box 165, Hills Road, Cambridge, CB2 0QQ, UK.
University of Cambridge · GB

Funding

Medical Research Council G1100125
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified over 100 loci containing single nucleotide variants (SNVs) that influence the risk of developing multiple sclerosis (MS). Most of these loci lie in non-coding regulatory regions of the genome that are active in immune cells and are therefore thought to modify risk by altering the expression of key immune genes. To explore this hypothesis we screened genes flanking MS-associated variants for evidence of allele specific expression (ASE) by quantifying the transcription of coding variants in linkage disequilibrium with MS-associated SNVs. In total, we were able to identify and successfully analyse 200 such coding variants (from 112 genes) in both CD4+ and CD8+ T cells from 106 MS patients and 105 controls. Fifty-six of these coding variants (from 43 genes) showed statistically significant evidence of ASE in one or both cell types. In the Lck interacting transmembrane adaptor 1 gene (LIME1), for example, we were able to show that in both cell types, the MS-associated variant rs2256814 increased the expression of some transcripts while simultaneously reducing the expression of other transcripts. In CD4+ cells from an additional independent set of 96 cases and 93 controls we were able to replicate the effect of this SNV on the balance of alternate LIME1 transcripts using qPCR (p = 5 × 10

Indexed as

AllelesAdaptor Proteins, Vesicular TransportAdultGenetic Predisposition to DiseaseHumansMiddle AgedMultiple SclerosisOpen Reading FramesPolymorphism, GeneticRNA, MessengerAdaptor Proteins, Vesicular TransportLIME1 protein, humanRNA, Messenger

Identifiers

PMID31932686
PMCPMC7253460
OpenAlexW2995385317

What OpenQuestion holds

Textmetadata
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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.