{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T21:31:38Z","timestamp":1773005498422,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T00:00:00Z","timestamp":1713139200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Liver International"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>Genetic variants influence primary biliary cholangitis (PBC) risk. We established and tested an accurate polygenic risk score (PRS) using these variants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data from two Italian cohorts (OldIT 444 cases, 901 controls; NewIT 255 cases, 579 controls) were analysed. The latest international genome\u2010wide meta\u2010analysis provided effect size estimates. The PRS, together with human leukocyte antigen (\n                      <jats:italic>HLA<\/jats:italic>\n                      ) status and sex, was included in an integrated risk model.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Starting from 46 non\u2010\n                      <jats:italic>HLA<\/jats:italic>\n                      genes, 22 variants were selected. PBC patients in the OldIT cohort showed a higher risk score than controls: \u2212.014 (interquartile range, IQR, \u2212.023, .005) versus \u2212.022 (IQR \u2212.030, \u2212.013) (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20092.2\u2009\u00d7\u200910\n                      <jats:sup>\u221216<\/jats:sup>\n                      ). For genetic\u2010based prediction, the area under the curve (AUC) was .72; adding sex increased the AUC to .82. Validation in the NewIT cohort confirmed the model's accuracy (.71 without sex, .81 with sex). Individuals in the top group, representing the highest 25%, had a PBC risk approximately 14 times higher than that of the reference group (lowest 25%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u200910\n                      <jats:sup>\u22126<\/jats:sup>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The combination of sex and a novel PRS accurately discriminated between PBC cases and controls. The model identified a subset of individuals at increased risk of PBC who might benefit from tailored monitoring.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/liv.15916","type":"journal-article","created":{"date-parts":[[2024,4,15]],"date-time":"2024-04-15T06:22:11Z","timestamp":1713162131000},"page":"1952-1960","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improving predictive accuracy in primary biliary cholangitis: A\u00a0new genetic risk score"],"prefix":"10.1111","volume":"44","author":[{"given":"Alessio","family":"Gerussi","sequence":"first","affiliation":[{"name":"Division of Gastroenterology, Center for Autoimmune Liver Diseases European Reference Network on Hepatological Diseases (ERN RARE\u2010LIVER), IRCCS Fondazione San Gerardo dei Tintori  Monza Italy"},{"name":"Department of Medicine and Surgery University of Milano\u2010Bicocca  Monza Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudio","family":"Cappadona","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences Humanitas University  Milan Italy"},{"name":"IRCCS Humanitas Research Hospital  Milan Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Davide Paolo","family":"Bernasconi","sequence":"additional","affiliation":[{"name":"Bicocca Bioinformatics Biostatistics and Bioimaging Centre\u2013B4, Department of Medicine and Surgery University of Milano\u2010Bicocca  Monza Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura","family":"Cristoferi","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology, Center for Autoimmune Liver Diseases European Reference Network on Hepatological Diseases (ERN RARE\u2010LIVER), IRCCS Fondazione San Gerardo dei Tintori  Monza Italy"},{"name":"Department of Medicine and Surgery University of Milano\u2010Bicocca  Monza 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