Evidence map›Paper›PMID 41017265›Full record

ArticlePsychological medicine2025

Genetic risk scores of psychiatric phenotypes are associated with depression risk in a prospective Dutch population-based cohort.

Amy Hofman, Bahar Sedaghati-Khayat, Annabel Vreeker, M Arfan Ikram, André G Uitterlinden, Joyce B J van Meurs, Jeroen G J van Rooij, Annemarie I Luik

Abstract read
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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Amy HofmanDepartment of Epidemiology, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0571-3774
Bahar Sedaghati-KhayatDepartment of Internal Medicine, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-7665-8648
Annabel VreekerDepartment of Child and Adolescent Psychiatry/Psychology, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
M Arfan IkramDepartment of Epidemiology, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
André G UitterlindenDepartment of Epidemiology, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Joyce B J van MeursDepartment of Internal Medicine, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Jeroen G J van RooijDepartment of Internal Medicine, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-9754-073X
Annemarie I LuikDepartment of Epidemiology, https://ror.org/018906e22Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-7517-197X

Funding

Erasmus Medisch CentrumErasmus Universiteit RotterdamEuropean Commission DG XIIMinisterie van Onderwijs, Cultuur en WetenschapMinisterie van Volksgezondheid, Welzijn en SportZonMw
6 · The paper itself

Abstract

backgroundGenetic risk scores hold potential for predicting depression in the general population. These scores must be validated for their associations with relevant characteristics of depression-related phenotypes, such as severity. We validated a genome-wide risk score (GRS) and a restricted polygenic risk score (PRS) for depression based on a meta-analysis of three genome-wide association studies and assessed their associations with depression in three subcohorts of middle-aged and older adults from the Dutch population-based Rotterdam Study.

methodsOf participants with genotype data, 9,198 had longitudinally measured data (mean follow-up: 11.3 years) on three depression-related phenotypes (depressive symptoms, depressive syndrome, and major depressive disorder). Generalized linear models estimated the associations of standardized GRS and PRS with depression phenotypes per subcohort and were then meta-analyzed. One unit of the GRS/PRS represents 1 standard deviation, following

resultsA one unit higher GRS and PRS were associated with any longitudinally measured depression phenotype (odds ratio (OR)

conclusionsThe GRS and PRS for depression showed modest associations across multiple depression-related phenotypes in a population-based setting. The strength of associations generally increased with the severity of the phenotype. While effect sizes were generally larger for GRS compared to PRS, the difference was mostly not statistically significant.

Indexed as

DepressionGenetic Predisposition to DiseaseMajor Depressive DisorderAgedFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedMultifactorial InheritanceNetherlandsPhenotypeProspective StudiesRisk Factorsclinical managementdepressiongenetic risk scorepopulation-basedprevention

Identifiers

PMID41017265
PMCPMC12527510

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