Evidence map›Paper›PMID 42216960›Full record

SynthesisEpilepsia2026

Gene burden meta-analysis of 748 879 individuals identifies LGI1-ADAM23 protein complex association with epilepsy.

Jessica Castrillon Lal, Costin Leu, Christian M Boßelmann, Alina Ivaniuk, Eduardo Pérez-Palma, Dennis Lal

Abstract readMeta-Analysis
In one paragraph

Synthesis in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Jessica Castrillon LalDepartment of Bioengineering, University of Texas at Arlington, Arlington, Texas, USA.ORCID https://orcid.org/0000-0001-5462-2671
Costin LeuDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID https://orcid.org/0000-0003-0598-3301
Christian M BoßelmannDepartment of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-1596-5599
Alina IvaniukDepartment of Neurology, Mayo Clinic Florida, Jacksonville, Florida, USA.ORCID https://orcid.org/0000-0001-9912-3112
Eduardo Pérez-PalmaUniversidad del Desarrollo, Centro de Genética y Genómica, Facultad de Medicina Clínica Alemana, Santiago de Chile, Chile.ORCID https://orcid.org/0000-0003-0546-5141
Dennis LalCenter for Precision Health, Cook Children's Medical Center, Fort Worth, Texas, USA.ORCID https://orcid.org/0000-0002-5173-9636

Funding

Cancer Prevention and Research Institute of Texas RP210028Deutsche Forschungsgemeinschaft 493665037Fondo Nacional de Desarrollo Científico y Tecnológico 1221464
6 · The paper itself

Abstract

Epilepsy affects more than 50 million individuals globally and has a substantial genetic component that remains to be completely understood. Traditional studies have focused on severe, early onset cases enrolled through clinical or research settings. Recent biobank-based approaches, leveraging large-scale population datasets, offer opportunities to explore genetic associations in broader epilepsy phenotypes, including milder, later onset forms. We analyzed data from more than 750 000 individuals across the UK Biobank, All of Us, and Massachusetts General Brigham Biobank, including 20 026 individuals with epilepsy. Rare coding variant burden testing revealed a significant association with LGI1, a known epilepsy gene. Among the other top 10 associated genes, seven had prior evidence linking them to epilepsy (GABRG2, ATP1A3), neurological disorders with comorbid seizures (HTRA2, KRIT1, STAG1), possible involvement in seizure phenotypes (ADAM23), or roles in neuronal function (PDCD4). Thus, we provide the first statistical evidence for ADAM23 as a candidate gene for epilepsy, based on the suggestive association signal combined with prior biological evidence from both animal (canine and murine) and one recent human epilepsy case study, potentially contributing to human epilepsy through its direct interaction with LGI1. Phenome-wide analyses highlighted the pleiotropic effects of epilepsy genes, with LGI1 and ADAM23 predominantly associated with epilepsy, whereas other genes such as KRIT1, TSC1, and TSC2 exhibited broader systemic involvement. Our study shows the potential of population-scale genomic data and suggests that integrating these datasets with deep phenotyping will uncover more novel insights into epilepsy genetics in the future.

Indexed as

ADAM ProteinsEpilepsyIntracellular Signaling Peptides and ProteinsProteinsAnimalsGenetic Predisposition to DiseaseHumansADAM ProteinsIntracellular Signaling Peptides and ProteinsLGI1 protein, humanProteinsADAM23genetic epilepsypopulation genetics

Identifiers

PMID42216960
PMCPMC13360984

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Registered trials

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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.