Evidence map›Paper›PMID 39911006›Full record

ArticlePsychological medicine2025

The impact of genes and environment assessed longitudinally on psychological and somatic distress in twins from ages 15 to 35 years.

Nathan A Gillespie, Baptiste Couvy-Duchesne, Michael C Neale, Ian B Hickie, Nicholas G Martin

Abstract readTwin Study
In one paragraph

Article in Psychological medicine, 2025. 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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nathan A GillespieVirginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-8655-2823
Baptiste Couvy-DuchesneQIMR Berghofer Medical Research Institute, Genetic Epidemiology Laboratory, Brisbane, Queensland, Australia.ORCID 0000-0002-0719-9302
Michael C NealeVirginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-8587-0974
Ian B HickieBrain and Mind Institute, University of Sydney, New South Wales, Australia.ORCID 0000-0001-8832-9895
Nicholas G MartinQIMR Berghofer Medical Research Institute, Genetic Epidemiology Laboratory, Brisbane, Queensland, Australia.ORCID 0000-0003-4069-8020

Funding

Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
An Integrative Approach to the Etiology of Internalizing Disorders in the Lifelines CohortR01MH125902 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, Hanna van Loo · 2022 to 2026
$2.8M
NIDA NIH HHS U01 DA041120NIMH NIH HHS R01 MH125902
6 · The paper itself

Abstract

backgroundGenetically informative twin studies have consistently found that individual differences in anxiety and depression symptoms are stable and primarily attributable to time-invariant genetic influences, with non-shared environmental influences accounting for transient effects.

methodsWe explored the etiology of psychological and somatic distress in 2279 Australian twins assessed up to six times between ages 12-35. We evaluated autoregressive, latent growth, dual-change, common, and independent pathway models to identify which, if any, best describes the observed longitudinal covariance and accounts for genetic and environmental influences over time.

resultsAn autoregression model best explained both psychological and somatic distress. Familial aggregation was entirely explained by additive genetic influences, which were largely stable from ages 12 to 35. However, small but significant age-dependent genetic influences were observed at ages 20-27 and 32-35 for psychological distress and at ages 16-19 and 24-27 for somatic distress. In contrast, environmental influences were predominantly transient and age-specific.

conclusionsThe longitudinal trajectory of psychological distress from ages 12 to 35 can thus be largely explained by forward transmission of a stable additive genetic influence, alongside smaller age-specific genetic innovations. This study addresses the limitation of previous research by exhaustively exploring alternative theoretical explanations for the observed patterns in distress symptoms over time, providing a more comprehensive understanding of the genetic and environmental factors influencing psychological and somatic distress across this age range.

Indexed as

AnxietyDepressionGene-Environment InteractionPsychological DistressStress, PsychologicalAdolescentAdultAustraliaChildFemaleHumansLongitudinal StudiesMaleYoung Adultanxietydepressiongenelongitudinalpsychological distresssomatictwin

Identifiers

PMID39911006
PMCPMC11968121

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.