Evidence map›Paper›PMID 30698613›Full record

ArticleJAMA psychiatry2019

Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population.

Katherine L Musliner, Preben B Mortensen, John J McGrath, Nis P Suppli, David M Hougaard, Jonas Bybjerg-Grauholm, Marie Bækvad-Hansen, Ole Andreassen, Carsten B Pedersen, Marianne G Pedersen and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in JAMA psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07039123 (Polygenic Risk Score to Optimize Primary Prevention in Intermediate Risk Population), which is not on this map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07039123 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Polygenic Risk Score to Optimize Primary Prevention in Intermediate Risk Population (PERSONAL)

TypeinterventionalSponsorUniversity of BernRan2025 to 2027Enrolled205ConditionsPrimary Prevention of Cardiovascular DiseaseArmsPolygenic Risk Score for Coronary Artery Disease (PRS-CAD), Standardized Risk Communication Tool (SCORE2)
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Genetics of age-at-onset in major depression.Translational psychiatry · 2022
    Pooled it
  3. Review
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  16. Clinical Traits of Adult Depression with ADHD Comorbidity.Psychology research and behavior management · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Katherine L MuslineriPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Preben B MortenseniPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
John J McGrathNational Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Nis P SuppliiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
David M HougaardiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Jonas Bybjerg-GrauholmiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Marie Bækvad-HanseniPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Ole AndreassenThe Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo, Oslo, Norway.
Carsten B PederseniPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Marianne G PederseniPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Ole MorsiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Merete NordentoftiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Anders D BørglumiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Thomas WergeiPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
Esben AgerboNational Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
Bipolar Disorder Working Group of the Psychiatric Genomics Consortium

Funding

3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
Medical Research Council G1000708NIMH NIH HHS U01 MH109528NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

Importance: Although the usefulness of polygenic risk scores as a measure of genetic liability for major depression (MD) has been established, their association with depression in the general population remains relatively unexplored. Objective: To evaluate whether polygenic risk scores for MD, bipolar disorder (BD), and schizophrenia (SZ) are associated with depression in the general population and explore whether these polygenic liabilities are associated with heterogeneity in terms of age at onset and severity at the initial depression diagnosis. Design, Setting, and Participants: Participants were drawn from the Danish iPSYCH2012 case-cohort study, a representative sample drawn from the population of Denmark born between May 1, 1981, and December 31, 2005. The hazard of depression was estimated using Cox regressions modified to accommodate the case-cohort design. Case-only analyses were conducted using linear and multinomial regressions. The data analysis was conducted from February 2017 to June 2018. Exposures: Polygenic risk scores for MD, BD, and SZ trained using the most recent genome-wide association study results from the Psychiatric Genomics Consortium. Main Outcomes and Measures: The main outcome was first depressive episode (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code F32) treated in hospital-based psychiatric care. Severity at the initial diagnosis was measured using the ICD-10 code severity specifications (mild, moderate, severe without psychosis, and severe with psychosis) and treatment setting (inpatient, outpatient, and emergency). Results: Of 34 573 participants aged 10 to 31 years at censoring, 68% of those with depression were female compared with 48.9% of participants without depression. Each SD increase in polygenic liability for MD, BD, and SZ was associated with 30% (hazard ratio [HR], 1.30; 95% CI, 1.27-1.33), 5% (HR, 1.05; 95% CI, 1.02-1.07), and 12% (HR, 1.12; 95% CI, 1.09-1.15) increases in the hazard of depression, respectively. Among cases, a higher polygenic liability for BD was associated with earlier depression onset (β = -.07; SE = .02; P = .002). Conclusions and Relevance: Polygenic liability for MD is associated with first depression in the general population, which supports the idea that these scores tap into an underlying liability for developing the disorder. The fact that polygenic risk for BD and polygenic risk for SZ also were associated with depression is consistent with prior evidence that these disorders share some common genetic overlap. Variations in polygenic liability may contribute slightly to heterogeneity in clinical presentation, but these associations appear minimal.

Indexed as

AdolescentAdultAge FactorsBipolar DisorderCase-Control StudiesChildDenmarkDepressionFemaleGenetic Predisposition to DiseaseHumansLinear ModelsMajor Depressive DisorderMaleMultifactorial InheritanceProportional Hazards Models

Identifiers

PMID30698613
PMCPMC6495355

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Registered trials

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.