{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T10:51:39Z","timestamp":1791975099743,"version":"4.4.0"},"reference-count":45,"publisher":"Royal College of Psychiatrists","license":[{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Br J Psychiatry"],"abstract":"<jats:sec id=\"S0007125026107958_as1\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The psychosis continuum conceptualises psychotic phenomena as existing on a spectrum from subclinical experiences to psychotic disorders. Despite epidemiological and clinical evidence in support of this model, few studies have examined polygenic liability across the severity continuum: from subclinical experiences to first-episode psychosis (FEP).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125026107958_as2\">\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To map polygenic liability for schizophrenia (SCZ), bipolar disorder and major depressive disorder (MDD) across the psychosis continuum. We hypothesised that schizophrenia polygenic scores (SCZ-PGS) would track phenotypic severity most closely across this continuum.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125026107958_as3\">\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>\n                      We harmonised data from 5 south-east London cohorts (\n                      <jats:italic>N<\/jats:italic>\n                      = 1315; 860 European, 455 African ancestries) across 4 ordered groups indicative of different levels of phenotypic severity: controls (\n                      <jats:italic>n<\/jats:italic>\n                      = 647), individuals with self-reported psychotic experiences (\n                      <jats:italic>n<\/jats:italic>\n                      = 89), individuals at clinical high risk (CHR) that did not convert to psychosis (\n                      <jats:italic>n<\/jats:italic>\n                      = 124) and individuals with FEP (\n                      <jats:italic>n<\/jats:italic>\n                      = 455). We computed ancestry-specific PGS for SCZ, bipolar disorder and MDD and compared these across groups using ordinal logistic regression.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125026107958_as4\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In European ancestry participants, elevated SCZ-PGS (odds ratio 1.72,\n                      <jats:italic>p<\/jats:italic>\n                      = 4.57 \u00d7 10\n                      <jats:sup>\u221215<\/jats:sup>\n                      ), bipolar disorder-PGS (odds ratio 1.56,\n                      <jats:italic>p<\/jats:italic>\n                      = 1.03 \u00d7 10\n                      <jats:sup>\u221210<\/jats:sup>\n                      ) and MDD-PGS (odds ratio 1.44,\n                      <jats:italic>p<\/jats:italic>\n                      = 4.86 \u00d7 10\n                      <jats:sup>\u22128<\/jats:sup>\n                      ) were individually associated with increasing phenotypic severity. SCZ-PGS explained the largest variance (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.084) across the psychosis continuum and showed pairwise differences between CHR and controls (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      = 0.32,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.027), and between FEP and CHR (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      = 0.38,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.017). Multivariable models, combining three PGS, outperformed univariable models (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      = 0.105). Similar trends in SCZ-PGS across the psychosis continuum phenotype were seen in African ancestry participants, but only controls and FEP groups differed significantly (\n                      <jats:italic>\u03b2<\/jats:italic>\n                      = 0.27,\n                      <jats:italic>p<\/jats:italic>\n                      = 0.037).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"S0007125026107958_as5\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our findings provide biological evidence supporting the psychosis continuum framework. In European ancestry, SCZ-PGS differences suggest that CHR who do not transition to psychosis have intermediate genetic vulnerability. Multivariable models, utilising all three PGS, explained additional variance compared with univariable ones, supporting transdiagnostic genetic liability. Improving PGS predictive power in African ancestry remains a priority.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1192\/bjp.2026.10795","type":"journal-article","created":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T10:23:30Z","timestamp":1791973410000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":0,"title":["Genetic evidence for the psychosis continuum: polygenic score analysis"],"prefix":"10.1192","author":[{"given":"Senta M.","family":"Haussler","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0220mzb33","id-type":"ROR","asserted-by":"publisher"}],"name":"King\u2019s College London Institute of Psychiatry Psychology & Neuroscience"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana","family":"Prata","sequence":"additional","affiliation":[{"name":"University of Lisbon Institute of Biophysics and Biomedical Engineering"},{"name":"King\u2019s College London Institute of Psychiatry Psychology & Neuroscience"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3541-9947","authenticated-orcid":false,"given":"Matthew J.","family":"Kempton","sequence":"additional","affiliation":[{"name":"King\u2019s College London Institute of Psychiatry Psychology & Neuroscience"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7519-0599","authenticated-orcid":false,"given":"Vishal","family":"Bhavsar","sequence":"additional","affiliation":[{"name":"King\u2019s College London Institute of Psychiatry Psychology & Neuroscience"},{"name":"South London and Maudsley NHS Foundation Trust"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0473-500X","authenticated-orcid":false,"given":"Ryan","family":"Arathimos","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0220mzb33","id-type":"ROR","asserted-by":"publisher"}],"name":"King\u2019s College London Institute of Psychiatry Psychology & Neuroscience"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6759-0944","authenticated-orcid":false,"given":"Jonathan R. 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European Network of National Schizophrenia Networks Studying Gene-Environment Interactions. 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