Cargando…

Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis

INTRODUCTION: Patients with ulcerative colitis (UC) who are likely to have primary sclerosing cholangitis (PSC) should be identified because PSC can influence UC clinical behavior and outcomes.The aim of this study was to establish a model incorporating clinical and genetic risk predictors that iden...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Ming-Hsi, Friton, Jessica J., Rebert, Nancy, Monroe, Kelly, Nix, Billy D., Fiocchi, Claudio, Raffals, Laura E., Leighton, Jonathan A., Pasha, Shabana F., Picco, Michael F., Newberry, Rodney D., Achkar, Jean-Paul, Faubion, William A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522100/
https://www.ncbi.nlm.nih.gov/pubmed/37440754
http://dx.doi.org/10.14309/ctg.0000000000000615
_version_ 1785110284853051392
author Wang, Ming-Hsi
Friton, Jessica J.
Rebert, Nancy
Monroe, Kelly
Nix, Billy D.
Fiocchi, Claudio
Raffals, Laura E.
Leighton, Jonathan A.
Pasha, Shabana F.
Picco, Michael F.
Newberry, Rodney D.
Achkar, Jean-Paul
Faubion, William A.
author_facet Wang, Ming-Hsi
Friton, Jessica J.
Rebert, Nancy
Monroe, Kelly
Nix, Billy D.
Fiocchi, Claudio
Raffals, Laura E.
Leighton, Jonathan A.
Pasha, Shabana F.
Picco, Michael F.
Newberry, Rodney D.
Achkar, Jean-Paul
Faubion, William A.
author_sort Wang, Ming-Hsi
collection PubMed
description INTRODUCTION: Patients with ulcerative colitis (UC) who are likely to have primary sclerosing cholangitis (PSC) should be identified because PSC can influence UC clinical behavior and outcomes.The aim of this study was to establish a model incorporating clinical and genetic risk predictors that identifies patients with UC at risk of developing PSC. METHODS: We conducted a retrospective case-control study. Inflammatory bowel disease cohorts from multiple institutions were used as discovery and replicate datasets. Quality control criteria, including minor allele frequency, call rates, Hardy-Weinberg equilibrium, cryptic relatedness, and population stratification (through principal components), were used. Discriminative accuracy was evaluated with area under the receiver operating characteristic curve. RESULTS: Fifty-seven of 581 patients (9.8%) with UC had PSC. Multivariate analysis showed that patients with UC-PSC had more extensive disease (odds ratio [OR], 5.42; P = 1.57E-04), younger diagnosis age (younger than 20 years; OR, 2.22; P = 0.02), and less smoking (OR, 0.42; P = 0.02) than those with UC. After linkage disequilibrium pruning and multivariate analyses, 3 SNPs (rs3131621 at 6p21.33; rs9275596 and rs11244 at 6p21.32) at the HLA region were found associated with a 2- to 3-fold increased risk of PSC. Our model demonstrated good discriminatory power (area under the receiver operating characteristic curve, 88%). DISCUSSION: Three variants in HLA (6p21.3) region significantly distinguished patients with UC-PSC from patients with UC alone. Once further validated in an independent large cohort, our model could be used to identify patients with UC at risk of PSC, and it could also help guide disease management.
format Online
Article
Text
id pubmed-10522100
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Wolters Kluwer
record_format MEDLINE/PubMed
spelling pubmed-105221002023-09-27 Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis Wang, Ming-Hsi Friton, Jessica J. Rebert, Nancy Monroe, Kelly Nix, Billy D. Fiocchi, Claudio Raffals, Laura E. Leighton, Jonathan A. Pasha, Shabana F. Picco, Michael F. Newberry, Rodney D. Achkar, Jean-Paul Faubion, William A. Clin Transl Gastroenterol Article INTRODUCTION: Patients with ulcerative colitis (UC) who are likely to have primary sclerosing cholangitis (PSC) should be identified because PSC can influence UC clinical behavior and outcomes.The aim of this study was to establish a model incorporating clinical and genetic risk predictors that identifies patients with UC at risk of developing PSC. METHODS: We conducted a retrospective case-control study. Inflammatory bowel disease cohorts from multiple institutions were used as discovery and replicate datasets. Quality control criteria, including minor allele frequency, call rates, Hardy-Weinberg equilibrium, cryptic relatedness, and population stratification (through principal components), were used. Discriminative accuracy was evaluated with area under the receiver operating characteristic curve. RESULTS: Fifty-seven of 581 patients (9.8%) with UC had PSC. Multivariate analysis showed that patients with UC-PSC had more extensive disease (odds ratio [OR], 5.42; P = 1.57E-04), younger diagnosis age (younger than 20 years; OR, 2.22; P = 0.02), and less smoking (OR, 0.42; P = 0.02) than those with UC. After linkage disequilibrium pruning and multivariate analyses, 3 SNPs (rs3131621 at 6p21.33; rs9275596 and rs11244 at 6p21.32) at the HLA region were found associated with a 2- to 3-fold increased risk of PSC. Our model demonstrated good discriminatory power (area under the receiver operating characteristic curve, 88%). DISCUSSION: Three variants in HLA (6p21.3) region significantly distinguished patients with UC-PSC from patients with UC alone. Once further validated in an independent large cohort, our model could be used to identify patients with UC at risk of PSC, and it could also help guide disease management. Wolters Kluwer 2023-07-14 /pmc/articles/PMC10522100/ /pubmed/37440754 http://dx.doi.org/10.14309/ctg.0000000000000615 Text en © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The American College of Gastroenterology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Wang, Ming-Hsi
Friton, Jessica J.
Rebert, Nancy
Monroe, Kelly
Nix, Billy D.
Fiocchi, Claudio
Raffals, Laura E.
Leighton, Jonathan A.
Pasha, Shabana F.
Picco, Michael F.
Newberry, Rodney D.
Achkar, Jean-Paul
Faubion, William A.
Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis
title Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis
title_full Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis
title_fullStr Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis
title_full_unstemmed Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis
title_short Novel Genetic Risk Variants and Clinical Predictors Associated With Primary Sclerosing Cholangitis in Patients With Ulcerative Colitis
title_sort novel genetic risk variants and clinical predictors associated with primary sclerosing cholangitis in patients with ulcerative colitis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522100/
https://www.ncbi.nlm.nih.gov/pubmed/37440754
http://dx.doi.org/10.14309/ctg.0000000000000615
work_keys_str_mv AT wangminghsi novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT fritonjessicaj novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT rebertnancy novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT monroekelly novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT nixbillyd novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT fiocchiclaudio novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT raffalslaurae novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT leightonjonathana novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT pashashabanaf novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT piccomichaelf novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT newberryrodneyd novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT achkarjeanpaul novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis
AT faubionwilliama novelgeneticriskvariantsandclinicalpredictorsassociatedwithprimarysclerosingcholangitisinpatientswithulcerativecolitis