Evidence map›Paper›PMID 34389974›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2022

Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood.

Alexander Neumann, Alexia Jolicoeur-Martineau, Eszter Szekely, Hannah M Sallis, Kieran O'Donnel, Celia M T Greenwood, Robert Levitan, Michael J Meaney, Ashley Wazana, Jonathan Evans and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 37 citations in OpenAlex.

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  20. Research Review: A guide to computing and implementing polygenic scores in developmental research.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 6 countries.

Alexander NeumannDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0001-6653-3203
Alexia Jolicoeur-MartineauLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.ORCID 0000-0003-2169-4008
Eszter SzekelyLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Hannah M SallisMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-4793-6290
Kieran O'DonnelDepartment of Psychiatry and Sackler Program for Epigenetics and Psychobiology, McGill University, Montreal, QC, Canada.
Celia M T GreenwoodLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.ORCID 0000-0002-2427-5696
Robert LevitanCentre for Addiction and Mental Health, Toronto, ON, Canada.ORCID 0000-0003-1306-3847
Michael J MeaneyDepartment of Psychiatry, McGill University Faculty of Medicine, Montreal, QC, Canada.ORCID 0000-0002-8605-1997
Ashley WazanaLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
Jonathan EvansCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Henning TiemeierDepartment of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-4395-1397
Jewish General Hospital · CADouglas Mental Health University Institute · CAUniversity of Bristol · GBCentre for Addiction and Mental Health · CAHarvard University · USMcGill University Health Centre · CAUniversity of Antwerp · BE

Funding

Cameron Parker Holcombe Wilson Chair in Depression Studies, University of TorontoCanadian Institutes of Health Research (CIHR) 191827Canadian Institutes of Health Research (CIHR) 231614Canadian Institutes of Health Research (CIHR) 359912Canadian Institutes of Health Research (CIHR) 365309Centre for Addiction and Mental HealthDutch Ministry of Education, Culture, and ScienceErasmus Medical CenterEuropean Research Council 758813European Union's Horizon 2020 research and innovation program 633595Fonds de la recherche en santé du Québec 22418March of Dimes Foundation 12-FY12-198McGill University Faculty of MedicineMedical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Netherlands Organization for Health Research and Development 024.001.003Norlien FoundationNWO-VICI 016.VICI.170.200UK Medical Research Council MRCUniversity of Bristol MC_UU_00011/7Wellcome 217065/Z/19/ZWellcome TrustWoco Foundation
6 · The paper itself

Abstract

backgroundPolygenic risk scores (PRSs) operationalize genetic propensity toward a particular mental disorder and hold promise as early predictors of psychopathology, but before a PRS can be used clinically, explanatory power must be increased and the specificity for a psychiatric domain established. To enable early detection, it is crucial to study these psychometric properties in childhood. We examined whether PRSs associate more with general or with specific psychopathology in school-aged children. Additionally, we tested whether psychiatric PRSs can be combined into a multi-PRS score for improved performance.

methodsWe computed 16 PRSs based on GWASs of psychiatric phenotypes, but also neuroticism and cognitive ability, in mostly adult populations. Study participants were 9,247 school-aged children from three population-based cohorts of the DREAM-BIG consortium: ALSPAC (UK), The Generation R Study (Netherlands), and MAVAN (Canada). We associated each PRS with general and specific psychopathology factors, derived from a bifactor model based on self-report and parental, teacher, and observer reports. After fitting each PRS in separate models, we also tested a multi-PRS model, in which all PRSs are entered simultaneously as predictors of the general psychopathology factor.

resultsSeven PRSs were associated with the general psychopathology factor after multiple testing adjustment, two with specific externalizing and five with specific internalizing psychopathology. PRSs predicted general psychopathology independently of each other, with the exception of depression and depressive symptom PRSs. Most PRSs associated with a specific psychopathology domain, were also associated with general child psychopathology.

conclusionsThe results suggest that PRSs based on current GWASs of psychiatric phenotypes tend to be associated with general psychopathology, or both general and specific psychiatric domains, but not with one specific psychopathology domain only. Furthermore, PRSs can be combined to improve predictive ability. PRS users should therefore be conscious of nonspecificity and consider using multiple PRSs simultaneously, when predicting psychiatric disorders.

Indexed as

Major Depressive DisorderMental DisordersChildGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritancePhenotypeRisk Factorscomorbidityexternalizing disorderGeneticsinternalizing disordermeta-analysismolecular

Identifiers

PMID34389974
PMCPMC9291767
OpenAlexW3191938403

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.