m+Medelevator.RU
← Поиск публикаций
Human mutation · 2012

Rett networked database: an integrated clinical and genetic network of Rett syndrome databases.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Grillo Elisa, Villard Laurent, Clarke Angus, Ben Zeev Bruria, Pineda Mercedes, Bahi-Buisson Nadia, Hryniewiecka-Jaworska Anna, Bienvenu Thierry, Armstrong Judith, Roche-Martinez Ana, Mari Francesca, Veneselli Edvige, Russo Silvia, Vignoli Aglaia, Pini Giorgio, Djuric Milena, Bisgaard Anne-Marie, Mejaški Bošnjak Vlatka, Polgár Noémi, Cogliati Francesca, Ravn Kirstine, Pintaudi Maria, Melegh Béla, Craiu Dana, Djukic Aleksandra, Renieri Alessandra

Аннотация

Rett syndrome (RTT) is a neurodevelopmental disorder with one principal phenotype and several distinct, atypical variants (Zappella, early seizure onset and congenital variants). Mutations in MECP2 are found in most cases of classic RTT but at least two additional genes, CDKL5 and FOXG1, can underlie some (usually variant) cases. There is only limited correlation between genotype and phenotype. The Rett Networked Database (http://www.rettdatabasenetwork.org/) has been established to share clinical and genetic information. Through an "adaptor" process of data harmonization, a set of 293 clinical items and 16 genetic items was generated; 62 clinical and 7 genetic items constitute the core dataset; 23 clinical items contain longitudinal information. The database contains information on 1838 patients from 11 countries (December 2011), with or without mutations in known genes. These numbers can expand indefinitely. Data are entered by a clinician in each center who supervises accuracy. This network was constructed to make available pooled international data for the study of RTT natural history and genotype-phenotype correlation and to indicate the proportion of patients with specific clinical features and mutations. We expect that the network will serve for the recruitment of patients into clinical trials and for developing quality measures to drive up standards of medical management.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты