Evidence map›Paper›PMID 24522295›Full record

ArticleJournal of human genetics2014

Regulatory genomic regions active in immune cell types explain a large proportion of the genetic risk of multiple sclerosis.

Ramyiadarsini I Elangovan, Giulio Disanto, Antonio J Berlanga-Taylor, Sreeram V Ramagopalan, Lahiru Handunnetthi

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Epigenetic mechanisms in schizophrenia.Dialogues in clinical neuroscience · 2014
    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

5 authors at 1 institution in 1 country.

Ramyiadarsini I ElangovanFunctional Genomics Unit, Department of Physiology, Anatomy and Genetics and Medical Research Council, University of Oxford, Oxford, UK.
Giulio Disanto1] Functional Genomics Unit, Department of Physiology, Anatomy and Genetics and Medical Research Council, University of Oxford, Oxford, UK [2] Queen Mary University of London, Blizard Institute, Barts and The London School of Medicine and Dentistry, London, UK.
Antonio J Berlanga-TaylorFunctional Genomics Unit, Department of Physiology, Anatomy and Genetics and Medical Research Council, University of Oxford, Oxford, UK.
Sreeram V Ramagopalan1] Functional Genomics Unit, Department of Physiology, Anatomy and Genetics and Medical Research Council, University of Oxford, Oxford, UK [2] Queen Mary University of London, Blizard Institute, Barts and The London School of Medicine and Dentistry, London, UK.
Lahiru HandunnetthiFunctional Genomics Unit, Department of Physiology, Anatomy and Genetics and Medical Research Council, University of Oxford, Oxford, UK.
Queen Mary University of London · GB

Funding

Medical Research Council G0801976
6 · The paper itself

Abstract

There is little understanding of how genetic variants discovered in recent genome-wide association studies are involved in the pathogenesis of multiple sclerosis (MS). We aimed to investigate which chromatin states and cell types explain genetic risk in MS. We used genotype data from 1854 MS patients and 5164 controls produced by the International Multiple Sclerosis Genetics Consortium and Wellcome Trust Case Control Consortium. We estimated the proportion of phenotypic variance between cases and controls explained by cell-specific chromatin state and DNase I hypersensitivity sites (DHSs) using the Genome-wide Complex Trait Analysis software. A large proportion of variance was explained by single-nucleotide polymorphisms (SNPs) in strong enhancer (SE) elements of immortalized B lymphocytes (5.39%). Three independent SNPs located within SE showed suggestive evidence of association with MS: rs12928822 (odds ratio (OR)=0.81, 95% confidence interval (CI)=0.73-0.89, P=2.48E-05), rs727263 (OR=0.75, 95% CI=0.66-0.85, P=3.26E-06) and rs4674923 (OR=0.85, 95% CI=0.79-0.92, P=1.63E-05). Genetic variants located within DHSs of CD19+ B cells explained the greatest proportion of variance. Genetic variants influencing the risk of MS are located within regulatory elements active in immune cells. This study also identifies a number of immune cell types likely to be involved in the causal cascade and that carry important implications for future studies of therapeutic design.

Indexed as

Genetic VariationRegulatory Sequences, Nucleic AcidB-LymphocytesCase-Control StudiesChromatinDeoxyribonuclease IEnhancer Elements, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHep G2 CellsHumansKeratinocytesMultiple SclerosisPolymorphism, Single NucleotideRisk FactorsChromatinDeoxyribonuclease I

Identifiers

PMID24522295
OpenAlexW2034857641

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.