Evidence map›Paper›PMID 33096746›Full record

ReviewInternational journal of molecular sciences2020

Genetic Landscape of Common Epilepsies: Advancing towards Precision in Treatment.

Sarita Thakran, Debleena Guin, Pooja Singh, Priyanka Singh, Samiksha Kukal, Chitra Rawat, Saroj Yadav, Suman S Kushwaha, Achal K Srivastava, Yasha Hasija and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
8.0field-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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Heterogeneity of monogenic epilepsy in loci, phenotypes, and treatment approaches.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  14. [Clinical characteristics of epilepsy with intellectual disability associated withZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Review
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  17. Whole exome sequencing revealed ultra-rare genetic variations in juvenile myoclonic epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 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

13 authors at 5 institutions in 2 countries.

Sarita ThakranGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Debleena GuinGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Pooja SinghGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Priyanka SinghGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Samiksha KukalGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Chitra RawatGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Saroj YadavGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Suman S KushwahaDepartment of Neurology, Institute of Human Behaviour and Allied Sciences, Dilshad Garden, Delhi 110095, India.
Achal K SrivastavaDepartment of Neurology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.ORCID 0000-0002-4590-7947
Yasha HasijaDepartment of Bioinformatics, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi 110042, India.
Luciano SasoDepartment of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, P. le Aldo Moro 5, 00185 Rome, Italy.ORCID 0000-0003-4530-8706
Srinivasan RamachandranAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Ritushree KukretiGenomics and Molecular Medicine Unit, Institute of Genomics and Integrative Biology (IGIB), Council of Scientific and Industrial Research (CSIR), Delhi 110007, India.
Institute of Genomics and Integrative Biology · INAll India Institute of Medical Sciences · INDelhi Technological University · INInstitute of Human Behaviour and Allied Sciences · INSapienza University of Rome · IT

Funding

CSIR- Institute of Genomics and Integrative Biology OLP-1154
6 · The paper itself

Abstract

Epilepsy, a neurological disease characterized by recurrent seizures, is highly heterogeneous in nature. Based on the prevalence, epilepsy is classified into two types: common and rare epilepsies. Common epilepsies affecting nearly 95% people with epilepsy, comprise generalized epilepsy which encompass idiopathic generalized epilepsy like childhood absence epilepsy, juvenile myoclonic epilepsy, juvenile absence epilepsy and epilepsy with generalized tonic-clonic seizure on awakening and focal epilepsy like temporal lobe epilepsy and cryptogenic focal epilepsy. In 70% of the epilepsy cases, genetic factors are responsible either as single genetic variant in rare epilepsies or multiple genetic variants acting along with different environmental factors as in common epilepsies. Genetic testing and precision treatment have been developed for a few rare epilepsies and is lacking for common epilepsies due to their complex nature of inheritance. Precision medicine for common epilepsies require a panoramic approach that incorporates polygenic background and other non-genetic factors like microbiome, diet, age at disease onset, optimal time for treatment and other lifestyle factors which influence seizure threshold. This review aims to comprehensively present a state-of-art review of all the genes and their genetic variants that are associated with all common epilepsy subtypes. It also encompasses the basis of these genes in the epileptogenesis. Here, we discussed the current status of the common epilepsy genetics and address the clinical application so far on evidence-based markers in prognosis, diagnosis, and treatment management. In addition, we assessed the diagnostic predictability of a few genetic markers used for disease risk prediction in individuals. A combination of deeper endo-phenotyping including pharmaco-response data, electro-clinical imaging, and other clinical measurements along with genetics may be used to diagnose common epilepsies and this marks a step ahead in precision medicine in common epilepsies management.

Indexed as

DNA Copy Number VariationsEpilepsyEpilepsy, AbsenceEpilepsy, GeneralizedGenetic MarkersHumansPharmacogenomic TestingPrecision MedicinePrognosisSeizuresTime FactorsGenetic Markerscommon epilepsiesepilepsygenetic biomarkergenetic generalized epilepsygeneticsion channel receptorsmolecular markersprecision treatmentprognosisseizures

Identifiers

PMID33096746
PMCPMC7589654
OpenAlexW3094084700

What OpenQuestion holds

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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.