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In part, this may reflect a developmental expression of individuals\u2019 genetic propensities as they undergo physiological and hormonal changes and interact with new environments. Many commonly proposed mechanisms assume direct effects of an individual\u2019s own genes on emerging variation in their depressive symptomatology. However, estimates of genetic influence based on analyses in unrelated individuals capture not only direct genetic effects but also genetic effects from parents and other biologically related family members. In data from the Norwegian Mother, Father and Child Cohort (MoBa), we used linear mixed models to distinguish developmentally-stable and adolescence-specific direct and parental indirect genetic effects. In within-family models, we examined effects of polygenic scores for major depressive disorder (MDD), ADHD, anxiety disorders, and educational attainment (EA) on depressive symptoms measured at ages 8 and 14. Children\u2019s own MDD polygenic scores showed adolescence-specific effects on depressive symptoms (\u03b2\n                    <jats:sub>PGS*wave<\/jats:sub>\n                    =0.041, [95% CI: 0.017, 0.065]). Developmentally-stable direct effects from children\u2019s polygenic scores for MDD (\u03b2\u2009=\u20090.016, [0.006, 0.039]), ADHD (\u03b2\u2009=\u20090.024, [0.008, 0.041]) and EA (\u03b2=-0.02, [ -0.038, -0.002]) were also evident. The only evidence of indirect genetic effects was a stable effect of maternal EA polygenic scores (\u03b2\u2009=\u20090.04, [0.024, 0.054]). Direct genetic effects linked to genetic liability to MDD accounted for emerging variation in depressive symptoms in adolescence. These results imply that specific etiological mechanisms related to MDD may become particularly relevant for depressive symptoms during early adolescence compared to at earlier ages.\n                  <\/jats:p>","DOI":"10.1007\/s00787-026-03197-y","type":"journal-article","created":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T06:59:38Z","timestamp":1791269978000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating direct and indirect genetic effects on emerging variation in depressive symptoms in early adolescence: a trio polygenic score analysis in the MoBa cohort"],"prefix":"10.1007","author":[{"given":"Meseret M.","family":"Bazezew","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernt","family":"Glaser","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura","family":"Hegemann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrian Dahl","family":"Askelund","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Baptiste","family":"Pingault","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robyn E.","family":"Wootton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil M.","family":"Davies","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helga","family":"Ask","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Havdahl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurie J.","family":"Hannigan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,6]]},"reference":[{"key":"3197_CR1","doi-asserted-by":"publisher","first-page":"1056","DOI":"10.1016\/S0140-6736(11)60871-4","volume":"379","author":"A Thapar","year":"2012","unstructured":"Thapar A, Collishaw S, Pine DS, Thapar AK (2012) Depression in adolescence. 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