FibroGENE: A gene-based model for staging liver fibrosis

Abstract

: A gene-based model for staging liver fibrosis, Journal of Hepatology (2015), doi: http://dx.doi.org/10. 1016/j.jhep.2015.11.008 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Background& aim: The extent of liver fibrosis predicts long term outcomes, and hence impacts

ADAPT: An Algorithm Incorporating PRO‐C3 Accurately Identifies Patients With NAFLD and Advanced Fibrosis

“…First, we used the Obuchowski measure, as proposed by Lambert et al, which is a measure of the probability that 2 randomly chosen patients from different fibrosis stages are correctly classified according to the weighted scheme, with a penalty for incorrect classification. In the second method, we standardized the AUROC for the distribution of fibrosis stages as proposed by Poynard et al, as recently described …”

The membrane‐bound O‐acyltransferase domain‐containing 7 variant rs641738 increases inflammation and fibrosis in chronic hepatitis B

“…All biopsies had a minimum of 11 portal tracts, and inadequate biopsies were excluded. This information was provided in publications using this cohort . Fibrosis was staged from F0 (no fibrosis) to F4 (cirrhosis).…”

“…The association between the MBOAT7 rs641738 variant and histological features (severity of inflammation, fibrosis, and steatosis) was also tested by multivariate ordinal regression models with the same variables listed above as covariates. Multiple imputation for alcohol intake missing values was performed as recommended and undertaken by us recently …”

Host – hepatitis C viral interactions: The role of genetics

“…In this context, an earlier study [118] constructed a gene-based cirrhosis risk score (CRS) consisting of 7 variants identified by a genome scan that selected 361 markers in a derivation cohort (N = 420), and then validated the 7 gene signature in a second cohort of 154 patients. Further, a recent international multicentre study utilized systematic un-biased nonparametric, machine learning methods designed for predictive modeling, and incorporated IFNk genotype with other simple clinical variables in a novel non-invasive decision tree model (Fibro-GENE) for prediction of liver fibrosis risk in a cohort of >4000 patients [119].…”