Evidence map›Paper›PMID 42836998›Full record

ArticleEuropean child & adolescent psychiatry2026

Estimating direct and indirect genetic effects on emerging variation in depressive symptoms in early adolescence: a trio polygenic score analysis in the MoBa cohort : Author list.

Meseret M Bazezew, Bernt Glaser, Laura Hegemann, Adrian Dahl Askelund, Jean-Baptiste Pingault, Robyn E Wootton, Neil M Davies, Helga Ask, Alexandra Havdahl, Laurie J Hannigan

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Article in European child & adolescent psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Meseret M BazezewResearch Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
Bernt GlaserPsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.
Laura HegemannPsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.
Adrian Dahl AskelundResearch Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
Jean-Baptiste PingaultDivision of Psychology and Language sciences, University College London, London, United Kingdom.
Robyn E WoottonResearch Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
Neil M DaviesDivision of Psychiatry, University College London, London, United Kingdom.
Helga AskPsychGen Centre for Genetic Epidemiology and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.
Alexandra HavdahlResearch Department, Lovisenberg Diaconal Hospital, Oslo, Norway.
Laurie J HanniganResearch Department, Lovisenberg Diaconal Hospital, Oslo, Norway. laurie.hannigan@fhi.no.

Funding

European Union's Horizon Europe Research and Innovation programme 101057529European Union's Horizon Europe Research and Innovation programme (FAMILY and HOMME ) 101057529 and 101142786Helse Sør-Øst RHF 2022083IRISK: European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme 863981NordForsk 156298 and 230738Research Council of Norway 274611, 336085Research Council of Norway and NIMH . 295989 and MH130448South-Eastern Norway Regional Health Authority 2020022South-Eastern Norway Regional Health Authority 2020024
6 · The paper itself

Abstract

Early adolescence is a common period of onset for depressive symptoms. In part, this may reflect a developmental expression of individuals' genetic propensities as they undergo physiological and hormonal changes and interact with new environments. Many commonly proposed mechanisms assume direct effects of an individual's 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's own MDD polygenic scores showed adolescence-specific effects on depressive symptoms (β

Indexed as

Children and adolescentsDepressive symptomsGeneticsPolygenic scoresWithin-family analysis

Identifiers

PMID42836998

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