Association between polygenic liability to depression and lifetime depression in at-risk adolescents

Abstract Internalising symptoms including depression, anxiety and somatic symptoms in adolescence are common. They can be transient, but they can also persist and progress to major depressive disorder (MDD) Polygenic risk scores for major depression (MD-PGS) may help identify which symptomatic adolescents are at greatest risk of later disorder. In a mega-analysis of two longitudinal population-based cohorts from Brisbane, Australia, we investigated whether polygenic liability to depression improves risk stratification among adolescents with elevated internalising symptoms. Internalising symptoms were assessed at age 14, lifetime MDD was assessed in young adulthood using the Composite International Diagnostic Interview, and MD-PGS were generated using summary statistics from the latest Psychiatric Genomics Consortium major depression genome-wide association study, excluding Australian cohorts. Analyses focused on comparisons between individuals in the top decile of risk and those in the remaining 90% of each cohort. A total of 302 cases with lifetime MDD and 1693 controls were included. Compared with adolescents outside the highest decile of internalising symptoms, those in the top decile at age 14 had a more than two-fold increased odds of lifetime MDD (OR = 2.56, 95% CI 1.92–3.49, p = 5.4 × 10 -10 ). Individuals in the top decile of MD-PGS also showed increased odds of lifetime MDD compared with the remaining 90% (OR = 3.45, 95% CI 2.53–4.71, p = 4.4 × 10 − ¹⁵). Adolescents who were simultaneously in the top decile of both internalising symptoms and MD-PGS had an approximately eight-fold increased odds of lifetime MDD compared with individuals outside the top decile for both risk factors (OR = 8.58, 95% CI 4.04–18.26, p = 1.2 × 10 − ⁵). These findings indicate that polygenic risk scores for depression may have particular clinical utility for stratifying risk among adolescents already presenting with elevated internalising symptoms, identifying a subgroup at very high risk for later major depressive disorder.

Authors

Institutions

Publication Details

Journal
Molecular Psychiatry
Published
2026-10-06
DOI
https://doi.org/10.1038/s41380-026-03917-5
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between polygenic liability to depression and lifetime depression in at-risk adolescents

Lianne Schmaal, Anjali K. Henders, Sarah Elizabeth Medland, Nicholas G. Martin et al.
Molecular Psychiatry
Genetic Associations and Epidemiology
article

Association between polygenic liability to depression and lifetime depression in at-risk adolescents

Lianne Schmaal, Anjali K. Henders, Sarah Elizabeth Medland, Nicholas G. Martin, Gail M. Williams, Stephen James Wood, Dominic Dwyer, Jan L. Scott, Andrew David Thompson, Johanna T. W. Wigman, Scott Richard Clark, Nathan A. Gillespie, Brittany L. Mitchell, Enda M. Byrne, Naomi R. Wray, Ian Bernard Hickie, G. Paul Amminger, Simon Hartmann, Jacob J. Crouse, Alison Ruth Yung, Christel Maria Middeldorp, James Glenn Scott, Blake Stockton Cavve, Barnaby Nelson, Caroline Gao, Jake M. Najman, Ashleigh Lin
article en

Abstract

Abstract Internalising symptoms including depression, anxiety and somatic symptoms in adolescence are common. They can be transient, but they can also persist and progress to major depressive disorder (MDD) Polygenic risk scores for major depression (MD-PGS) may help identify which symptomatic adolescents are at greatest risk of later disorder. In a mega-analysis of two longitudinal population-based cohorts from Brisbane, Australia, we investigated whether polygenic liability to depression improves risk stratification among adolescents with elevated internalising symptoms. Internalising symptoms were assessed at age 14, lifetime MDD was assessed in young adulthood using the Composite International Diagnostic Interview, and MD-PGS were generated using summary statistics from the latest Psychiatric Genomics Consortium major depression genome-wide association study, excluding Australian cohorts. Analyses focused on comparisons between individuals in the top decile of risk and those in the remaining 90% of each cohort. A total of 302 cases with lifetime MDD and 1693 controls were included. Compared with adolescents outside the highest decile of internalising symptoms, those in the top decile at age 14 had a more than two-fold increased odds of lifetime MDD (OR = 2.56, 95% CI 1.92–3.49, p = 5.4 × 10 -10 ). Individuals in the top decile of MD-PGS also showed increased odds of lifetime MDD compared with the remaining 90% (OR = 3.45, 95% CI 2.53–4.71, p = 4.4 × 10 − ¹⁵). Adolescents who were simultaneously in the top decile of both internalising symptoms and MD-PGS had an approximately eight-fold increased odds of lifetime MDD compared with individuals outside the top decile for both risk factors (OR = 8.58, 95% CI 4.04–18.26, p = 1.2 × 10 − ⁵). These findings indicate that polygenic risk scores for depression may have particular clinical utility for stratifying risk among adolescents already presenting with elevated internalising symptoms, identifying a subgroup at very high risk for later major depressive disorder.

Molecular Psychiatry
University Medical Center Groningen (NL), Deakin University (AU), The University of Queensland (AU), The University of Melbourne (AU), The Kids Research Institute Australia (AU), The University of Western Australia (AU), Virginia Commonwealth University (US), Université Paris Cité (FR), QIMR Berghofer Medical Research Institute (AU), Orygen (AU), Arkin (NL), Amsterdam University Medical Centers (NL), Children's Health Queensland Hospital and Health Service (AU), Levvel (NL), Institute for Molecular Bioscience (AU), The University of Adelaide (AU), University of Birmingham (GB), Newcastle University (GB), University of Amsterdam (NL)
Openalex Percentile: Top 13%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.