Open AccessPrediction of Crohn’s Disease Stricturing Phenotype Using aNOD2-derived Genomic Biomarker
Author(s) -
James J. Ashton,
Gregory Yin Ming Cheng,
Imogen S Stafford,
Melina Kellermann,
Eleanor G. Seaby,
Fraser Cummings,
Tracy Coelho,
Akshay Batra,
Nadeem Afzal,
R Mark Beattie,
Sarah Ennis
Publication year - 2022
Publication title -
inflammatory bowel diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.932
H-Index - 146
eISSN - 1536-4844
pISSN - 1078-0998
DOI - 10.1093/ibd/izac205
Subject(s) - nod2 , medicine , hazard ratio , disease , biomarker , proportional hazards model , crohn's disease , risk stratification , inflammatory bowel disease , oncology , gastroenterology , confidence interval , genetics , biology
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.