{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T01:38:51Z","timestamp":1783647531531,"version":"3.55.0"},"reference-count":66,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,1,7]],"date-time":"2024-01-07T00:00:00Z","timestamp":1704585600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000026","name":"National Institute on Drug Abuse","doi-asserted-by":"publisher","award":["UG3DA045251"],"award-info":[{"award-number":["UG3DA045251"]}],"id":[{"id":"10.13039\/100000026","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acamh.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Child Psychology Psychiatry"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>We used a polygenic score for externalizing behavior (extPGS) and structural MRI to examine potential pathways from genetic liability to conduct problems via the brain across the adolescent transition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Three annual assessments of child conduct problems, attention\u2010deficit\/hyperactivity problems, and internalizing problems were conducted across across 9\u201313\u2009years of age among 4,475 children of European ancestry in the Adolescent Brain Cognitive Development\n                      <jats:sup>SM<\/jats:sup>\n                      Study (ABCD Study\u00ae).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The extPGS predicted conduct problems in each wave (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20092.0%\u20132.9%). Bifactor models revealed that the extPRS predicted variance specific to conduct problems (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20091.7%\u20132.1%), but also variance that conduct problems shared with other measured problems (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u2009.8%\u20131.4%). Longitudinally, extPGS predicted levels of specific conduct problems (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20092.0%), but not their slope of change across age. The extPGS was associated with total gray matter volume (TGMV;\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u2009.4%) and lower TGMV predicted both specific conduct problems (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20091.7%\u20132.1%) and the variance common to all problems in each wave (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u20091.6%\u20133.1%). A modest proportion of the polygenic liability specific to conduct problems in each wave was statistically mediated by TGMV.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Across the adolescent transition, the extPGS predicted both variance specific to conduct problems and variance shared by all measured problems. The extPGS also was associated with TGMV, which robustly predicted conduct problems. Statistical mediation analyses suggested the hypothesis that polygenic variation influences individual differences in brain development that are related to the likelihood of conduct problems during the adolescent transition, justifying new research to test this causal hypothesis.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jcpp.13944","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T01:24:38Z","timestamp":1704677078000},"page":"1047-1060","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence"],"prefix":"10.1111","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0385-9676","authenticated-orcid":false,"given":"Benjamin B.","family":"Lahey","sequence":"first","affiliation":[{"name":"University of Chicago  Chicago IL USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E. Leighton","family":"Durham","sequence":"additional","affiliation":[{"name":"Vanderbilt University  Nashville TN USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah J.","family":"Brislin","sequence":"additional","affiliation":[{"name":"Rutgers University  Piscataway NJ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter B.","family":"Barr","sequence":"additional","affiliation":[{"name":"SUNY Downstate Health Sciences University  Brooklyn NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danielle M.","family":"Dick","sequence":"additional","affiliation":[{"name":"Rutgers University  Piscataway NJ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tyler M.","family":"Moore","sequence":"additional","affiliation":[{"name":"University of Pennsylvania  Philadelphia PA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brandon 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