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Stratification of risk of progression to colectomy in ulcerative colitis via measured and predicted gene expression.


ABSTRACT: An important goal of clinical genomics is to be able to estimate the risk of adverse disease outcomes. Between 5% and 10% of individuals with ulcerative colitis (UC) require colectomy within 5 years of diagnosis, but polygenic risk scores (PRSs) utilizing findings from genome-wide association studies (GWASs) are unable to provide meaningful prediction of this adverse status. By contrast, in Crohn disease, gene expression profiling of GWAS-significant genes does provide some stratification of risk of progression to complicated disease in the form of a transcriptional risk score (TRS). Here, we demonstrate that a measured TRS based on bulk rectal gene expression in the PROTECT inception cohort study has a positive predictive value approaching 50% for colectomy. Single-cell profiling demonstrates that the genes are active in multiple diverse cell types from both the epithelial and immune compartments. Expression quantitative trait locus (QTL) analysis identifies genes with differential effects at baseline and week 52 follow-up, but for the most part, differential expression associated with colectomy risk is independent of local genetic regulation. Nevertheless, a predicted polygenic transcriptional risk score (PPTRS) derived by summation of transcriptome-wide association study (TWAS) effects identifies UC-affected individuals at 5-fold elevated risk of colectomy with data from the UK Biobank population cohort studies, independently replicated in an NIDDK-IBDGC dataset. Prediction of gene expression from relatively small transcriptome datasets can thus be used in conjunction with TWASs for stratification of risk of disease complications.

SUBMITTER: Mo A 

PROVIDER: S-EPMC8456180 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Stratification of risk of progression to colectomy in ulcerative colitis via measured and predicted gene expression.

Mo Angela A   Nagpal Sini S   Gettler Kyle K   Haritunians Talin T   Giri Mamta M   Haberman Yael Y   Karns Rebekah R   Prince Jarod J   Arafat Dalia D   Hsu Nai-Yun NY   Chuang Ling-Shiang LS   Argmann Carmen C   Kasarskis Andrew A   Suarez-Farinas Mayte M   Gotman Nathan N   Mengesha Emebet E   Venkateswaran Suresh S   Rufo Paul A PA   Baker Susan S SS   Sauer Cary G CG   Markowitz James J   Pfefferkorn Marian D MD   Rosh Joel R JR   Boyle Brendan M BM   Mack David R DR   Baldassano Robert N RN   Shah Sapana S   LeLeiko Neal S NS   Heyman Melvin B MB   Griffiths Anne M AM   Patel Ashish S AS   Noe Joshua D JD   Davis Thomas Sonia S   Aronow Bruce J BJ   Walters Thomas D TD   McGovern Dermot P B DPB   Hyams Jeffrey S JS   Kugathasan Subra S   Cho Judy H JH   Denson Lee A LA   Gibson Greg G  

American journal of human genetics 20210826 9


An important goal of clinical genomics is to be able to estimate the risk of adverse disease outcomes. Between 5% and 10% of individuals with ulcerative colitis (UC) require colectomy within 5 years of diagnosis, but polygenic risk scores (PRSs) utilizing findings from genome-wide association studies (GWASs) are unable to provide meaningful prediction of this adverse status. By contrast, in Crohn disease, gene expression profiling of GWAS-significant genes does provide some stratification of ris  ...[more]

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