Evidence map›Paper›PMID 23818435›Full record

ArticleClinical trials (London, England)2013

The epilepsy phenome/genome project.

EPGP Collaborative, Bassel Abou-Khalil, Brian Alldredge, Jocelyn Bautista, Sam Berkovic, Judith Bluvstein, Alex Boro, Gregory Cascino, Damian Consalvo, Sabrina Cristofaro and 53 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Clinical trials (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
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  7. Phenomic Studies on Diseases: Potential and Challenges.Phenomics (Cham, Switzerland) · 2023
    Review
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  14. Observational
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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

63 authors at 1 institution in 1 country.

EPGP Collaborative
Bassel Abou-Khalil
Brian Alldredge
Jocelyn Bautista
Sam Berkovic
Judith Bluvstein
Alex Boro
Gregory Cascino
Damian Consalvo
Sabrina Cristofaro
Patricia Crumrine
Orrin Devinsky
Dennis Dlugos
Michael Epstein
Robyn Fahlstrom
Miguel Fiol
Nathan Fountain
Kristen Fox
Jacqueline French
Catharine Freyer Karn
Daniel Friedman
Eric Geller
Tracy Glauser
Simon Glynn
Kevin Haas
Sheryl Haut
Jean Hayward
Sandra Helmers
Sucheta Joshi
Andres Kanner
Heidi Kirsch
Robert Knowlton
Eric Kossoff
Rachel Kuperman
Ruben Kuzniecky
Daniel Lowenstein
Shannon McGuire
Paul Motika
Gerard Nesbitt
Edward Novotny
Ruth Ottman
Juliann Paolicchi
Jack Parent
Kristen Park
Annapurna Poduri
Neil Risch
Lynette Sadleir
Ingrid Scheffer
Renee Shellhaas
Elliott Sherr
Jerry J Shih
Shlomo Shinnar
Rani Singh
Joseph Sirven
Michael Smith
Joe Sullivan
Liu Lin Thio
Anu Venkat
Eileen Vining
Gretchen von Allmen
Judith Weisenberg
Peter Widdess-Walsh
Melodie Winawer
Albert Einstein College of Medicine · US

Funding

The Epilepsy Phenome/ Genome Project (EPGP)U01NS053998 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LOWENSTEIN, DANIEL H · 2007 to 2013
$26.4M
4 of 7: Epi4K: Epileptic Encephalopathies ProjectU01NS077364 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHERR, ELLIOTT · 2011 to 2013
$827k
NINDS NIH HHS U01 NS053998NINDS NIH HHS U01NS053998NINDS NIH HHS U01 NS077364
6 · The paper itself

Abstract

backgroundEpilepsy is a common neurological disorder that affects approximately 50 million people worldwide. Both risk of epilepsy and response to treatment partly depend on genetic factors, and gene identification is a promising approach to target new prediction, treatment, and prevention strategies. However, despite significant progress in the identification of genes causing epilepsy in families with a Mendelian inheritance pattern, there is relatively little known about the genetic factors responsible for common forms of epilepsy and so-called epileptic encephalopathies. Study design The Epilepsy Phenome/Genome Project (EPGP) is a multi-institutional, retrospective phenotype-genotype study designed to gather and analyze detailed phenotypic information and DNA samples on 5250 participants, including probands with specific forms of epilepsy and, in a subset, parents of probands who do not have epilepsy.

resultsEPGP is being executed in four phases: study initiation, pilot, study expansion/establishment, and close-out. This article discusses a number of key challenges and solutions encountered during the first three phases of the project, including those related to (1) study initiation and management, (2) recruitment and phenotyping, and (3) data validation. The study has now enrolled 4223 participants.

conclusionsEPGP has demonstrated the value of organizing a large network into cores with specific roles, managed by a strong Administrative Core that utilizes frequent communication and a collaborative model with tools such as study timelines and performance-payment models. The study also highlights the critical importance of an effective informatics system, highly structured recruitment methods, and expert data review.

Indexed as

GenotypePhenotypeEpilepsyGenetic ResearchHumansInformation ManagementOligonucleotide Array Sequence AnalysisResearch DesignRetrospective Studies

Identifiers

PMID23818435
PMCPMC5951634
OpenAlexW2039411333

What OpenQuestion holds

Textmetadata
LicenceTDM
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.