Development of a Polygenic Risk Score to Predict Diverticulitis

医学 憩室炎 憩室病 憩室病 内科学 弗雷明翰风险评分 疾病
作者
H. David Schaeffer,Diane T. Smelser,H. Shanker Rao,Jeremy S. Haley,Kevin Long,Sasha Slipak,David J. Carey,Rebecca L. Hoffman
出处
期刊:Diseases of The Colon & Rectum [Lippincott Williams & Wilkins]
被引量:1
标识
DOI:10.1097/dcr.0000000000002943
摘要

BACKGROUND: Despite its prevalence and associated morbidity, we remain limited in our ability to predict the course of a patient with diverticular disease. While several clinical and genetic risk factors have been identified, we do not know how these factors relate to one another. OBJECTIVE: To determine if a polygenic risk score could improve risk prediction for diverticulitis and recurrent diverticulitis compared to a model using only clinical factors. DESIGN: An observational study. SETTING: Study examines the predictive ability of a polygenic risk score for diverticulitis developed using prior genome wide association studies and validated using the MyCode biobank. PATIENTS: Patients of European ancestry in the Geisinger Health System who were enrolled in the MyCode Community Health biobanking program. MAIN OUTCOME MEASURES: The ability of a polygenic risk score to predict diverticulosis, diverticulitis, and recurrent diverticulitis. RESULTS: A total of 60,861 patients were included, of which 9,912 (16.3%) had diverticulosis or diverticulitis (5,015 with diverticulosis and 4,897 with diverticulitis). When divided into deciles, our polygenic risk score stratified patients by risk of both diverticulosis and diverticulitis with a 2-fold difference in disease risk between the highest and lowest deciles for diverticulitis and a 4.8-fold difference for recurrent complicated diverticulitis. When compared to clinical factors alone, our polygenic risk score was able to improve risk prediction of recurrent diverticulitis. LIMITATIONS: Our population is largely located in a single geographic region and were classified by disease status using international classification of diseases codes. CONCLUSIONS: This predictive model stratifies patients based on genetic risk for diverticular disease. The increased frequency of recurrent disease in our high-risk patients suggests that a polygenic risk score, in addition to other factors, may help to guide the discussion regarding surgical intervention.

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