Risk category system to identify pituitary adenoma patients with AIP mutations

BACKGROUND: Predictive tools to identify patients at risk for gene mutations related to pituitary adenomas are very helpful in clinical practice. We therefore aimed to develop and validate a reliable risk category system for aryl hydrocarbon receptor-interacting protein (AIP) mutations in patients w...

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Detalles Bibliográficos
Autores principales: Caimari, Francisca, Hernández-Ramírez, Laura Cristina, Dang, Mary N, Gabrovska, Plamena, Iacovazzo, Donato, Stals, Karen, Ellard, Sian, Korbonits, Márta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Screening
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869708/
https://www.ncbi.nlm.nih.gov/pubmed/29440248
http://dx.doi.org/10.1136/jmedgenet-2017-104957

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869708/
https://www.ncbi.nlm.nih.gov/pubmed/29440248
http://dx.doi.org/10.1136/jmedgenet-2017-104957

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