Evidence map›Paper›PMID 34988442›Full record

ArticleBrain communications2021

Using common genetic variants to find drugs for common epilepsies.

Nasir Mirza, Remi Stevelink, Basel Taweel, Bobby P C Koeleman, Anthony G Marson, International League Against Epilepsy Consortium on Complex Epilepsies

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 4 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Genome-wide meta-analysis with 1,590,596 individuals identifies 12 novel risk loci for systemic lupus erythematosus.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Pooled it
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  5. Kinetics of Phase Transitions in Amorphous Carbamazepine: From Sub-International journal of molecular sciences · 2025
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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 2 institutions in 4 countries.

Nasir MirzaDepartment of Pharmacology & Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3GE, UK.
Remi StevelinkDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands; member of the ERN EpiCARE.
Basel TaweelSchool of Medicine, University of Liverpool, Liverpool L69 3GE, UK.
Bobby P C KoelemanDepartment of Genetics, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht 3584 CX, the Netherlands; member of the ERN EpiCARE.
Anthony G MarsonDepartment of Pharmacology & Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3GE, UK.
International League Against Epilepsy Consortium on Complex Epilepsies
University of Liverpool · GBUniversity Medical Center Utrecht · NL

Funding

Medical Research Council MC_PC_17166Medical Research Council MC_PC_17195
6 · The paper itself

Abstract

Better drugs are needed for common epilepsies. Drug repurposing offers the potential of significant savings in the time and cost of developing new treatments. In order to select the best candidate drug(s) to repurpose for a disease, it is desirable to predict the relative clinical efficacy that drugs will have against the disease. Common epilepsy can be divided into different types and syndromes. Different antiseizure medications are most effective for different types and syndromes of common epilepsy. For predictions of antiepileptic efficacy to be clinically translatable, it is essential that the predictions are specific to each form of common epilepsy, and reflect the patterns of drug efficacy observed in clinical studies and practice. These requirements are not fulfilled by previously published drug predictions for epilepsy. We developed a novel method for predicting the relative efficacy of drugs against any common epilepsy, by using its Genome-Wide Association Study summary statistics and drugs' activity data. The methodological advancement in our technique is that the drug predictions for a disease are based upon drugs' effects on the function

Indexed as

drug repurposingepilepsygenomicsGWAS

Identifiers

PMID34988442
PMCPMC8710935
OpenAlexW4206436068

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.