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7 p, 481.9 KB Risk category system to identify pituitary adenoma patients with AIP mutations / Caimari, Francisca (Hospital de la Santa Creu i Sant Pau (Barcelona, Catalunya). Departament d'Endocrinologia) ; Hernández-Ramírez, Laura Cristina (Queen Mary University of London. William Harvey Research Institute) ; Dang, Mary N (Queen Mary University of London. William Harvey Research Institute) ; Gabrovska, Plamena (Queen Mary University of London. William Harvey Research Institute) ; Iacovazzo, Donato (Queen Mary University of London. William Harvey Research Institute) ; Stals, Karen (Royal Devon & Exeter Hospital) ; Ellard, Sian (Royal Devon & Exeter Hospital) ; Korbonits, Márta (Queen Mary University of London. William Harvey Research Institute) ; Universitat Autònoma de Barcelona. Universitat Autònoma de Barcelona
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 with pituitary adenomas. [...]
2018 - 10.1136/jmedgenet-2017-104957
Journal of medical genetics, Vol. 55, issue 4 (April 2018) , p. 254-260  

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