BACKGROUND: Epilepsy 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. RESULTS: EPGP 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. CONCLUSIONS: EPGP 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.
BACKGROUND:Epilepsy 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 epilepticencephalopathies. 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. RESULTS: EPGP 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. CONCLUSIONS: EPGP 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.
Authors: Jennifer A Kearney; Anna K Wiste; Ulrich Stephani; Michelle M Trudeau; Anne Siegel; Rajesh RamachandranNair; Roy D Elterman; Hiltrud Muhle; Juliane Reinsdorf; W Donald Shields; Miriam H Meisler; Andrew Escayg Journal: Pediatr Neurol Date: 2006-02 Impact factor: 3.372
Authors: L Vadlamudi; E Andermann; C T Lombroso; S C Schachter; R L Milne; J L Hopper; F Andermann; S F Berkovic Journal: Neurology Date: 2004-04-13 Impact factor: 9.910
Authors: Heather C Mefford; Hiltrud Muhle; Philipp Ostertag; Sarah von Spiczak; Karen Buysse; Carl Baker; Andre Franke; Alain Malafosse; Pierre Genton; Pierre Thomas; Christina A Gurnett; Stefan Schreiber; Alexander G Bassuk; Michel Guipponi; Ulrich Stephani; Ingo Helbig; Evan E Eichler Journal: PLoS Genet Date: 2010-05-20 Impact factor: 5.917
Authors: M A Mencarelli; A Spanhol-Rosseto; R Artuso; D Rondinella; R De Filippis; N Bahi-Buisson; J Nectoux; R Rubinsztajn; T Bienvenu; A Moncla; B Chabrol; L Villard; Z Krumina; J Armstrong; A Roche; M Pineda; E Gak; F Mari; F Ariani; A Renieri Journal: J Med Genet Date: 2009-07-02 Impact factor: 6.318
Authors: Gianpiero L Cavalleri; Michael E Weale; Kevin V Shianna; Rinki Singh; John M Lynch; Bronwyn Grinton; Cassandra Szoeke; Kevin Murphy; Peter Kinirons; Deirdre O'Rourke; Dongliang Ge; Chantal Depondt; Kristl G Claeys; Massimo Pandolfo; Curtis Gumbs; Nicole Walley; James McNamara; John C Mulley; Kristen N Linney; Leslie J Sheffield; Rodney A Radtke; Sarah K Tate; Stephanie L Chissoe; Rachel A Gibson; David Hosford; Alice Stanton; Tracey D Graves; Michael G Hanna; Kai Eriksson; Anne-Mari Kantanen; Reetta Kalviainen; Terence J O'Brien; Josemir W Sander; John S Duncan; Ingrid E Scheffer; Samuel F Berkovic; Nicholas W Wood; Colin P Doherty; Norman Delanty; Sanjay M Sisodiya; David B Goldstein Journal: Lancet Neurol Date: 2007-11 Impact factor: 44.182
Authors: Heath R Pardoe; Simone A Mandelstam; Rebecca Kucharsky Hiess; Ruben I Kuzniecky; Graeme D Jackson Journal: Epilepsy Res Date: 2014-10-30 Impact factor: 3.045
Authors: Ali Torkamani; Kevin Bersell; Benjamin S Jorge; Robert L Bjork; Jennifer R Friedman; Cinnamon S Bloss; Julie Cohen; Siddharth Gupta; Sakkubai Naidu; Carlos G Vanoye; Alfred L George; Jennifer A Kearney Journal: Ann Neurol Date: 2014-09-19 Impact factor: 10.422