Prediction of Crohn’s Disease Stricturing Phenotype Using a NOD2-derived Genomic Biomarker

BACKGROUND: Crohn’s disease (CD) is highly heterogenous and may be complicated by stricturing behavior. Personalized prediction of stricturing will inform management. We aimed to create a stricturing risk stratification model using genomic/clinical data. METHODS: Exome sequencing was performed on CD...

Descripción completa

Detalles Bibliográficos
Autores principales: Ashton, James J, Cheng, Guo, Stafford, Imogen S, Kellermann, Melina, Seaby, Eleanor G, Cummings,, J R Fraser, Coelho, Tracy A F, Batra, Akshay, Afzal, Nadeem A, Beattie, R Mark, Ennis, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Leading Off
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069659/
https://www.ncbi.nlm.nih.gov/pubmed/36161322
http://dx.doi.org/10.1093/ibd/izac205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069659/
https://www.ncbi.nlm.nih.gov/pubmed/36161322
http://dx.doi.org/10.1093/ibd/izac205

Ejemplares similares