Evidence map›Paper›PMID 35781881›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2022

Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene-environment correlation.

Sandra Machlitt-Northen, Robert Keers, Patricia B Munroe, David M Howard, Vassily Trubetskoy, Michael Pluess

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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  10. Commentary: Will genomics revolutionise research on gene-environment interplay?Journal of child psychology and psychiatry, and allied disciplines · 2022
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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

6 authors at 3 institutions in 2 countries.

Sandra Machlitt-NorthenDepartment of Biological and Experimental Psychology, Queen Mary University of London, London, UK.
Robert KeersDepartment of Biological and Experimental Psychology, Queen Mary University of London, London, UK.
Patricia B MunroeDepartment of Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London, UK.
David M HowardSocial, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
Vassily TrubetskoyDepartment of Psychiatry and Psychotherapy, Universitätsmedizin Berlin Campus Charité Mitte, Berlin, Germany.
Michael PluessDepartment of Biological and Experimental Psychology, Queen Mary University of London, London, UK.
Queen Mary University of London · GBCharité - Universitätsmedizin Berlin · DERoyal Edinburgh Hospital · GB

Funding

Medical Research Council G1001799Medical Research Council MR/N01104X/1 2018–2020Wellcome TrustWellcome Trust 076113Wellcome Trust 108439/Z/15/ZWellcome Trust 213674/Z/18/ZWellcome Trust G1001799Wellcome Trust WT095219MA
6 · The paper itself

Abstract

backgroundWhilst genetic and environmental risk factors for schizophrenia (SCZ) and major depressive disorder (MDD) have been established, it is unclear whether exposure to environmental risk factors is genetically confounded by passive, evocative or active gene-environment correlation (rGE). STUDY

objectiveThis study aims to investigate: (a) whether the genetic risk for SCZ/MDD in children is correlated with established environmental and psychosocial risk factors in two British community samples, the 1958 National Child Development Study (NCDS) and the Millennium Cohort Study (MCS), (b) whether these associations vary between both psychopathologies, and (c) whether findings differ across the two cohorts which were born 42 years apart.

methodsPolygenic risk scores (PRS) from existing large genome-wide associations studies (GWAS) were applied to test the correlation between the child genetic risk for SCZ/MDD and known environmental risk factors. In addition, parental and child genetic data from MCS were used to distinguish between passive and evocative rGE.

resultsThe child polygenic risk for SCZ and MDD was correlated with single parenthood in MCS. Moreover, the lack of father's involvement in child care was associated with the genetic risk for SCZ in NCDS. However, we also found associations between several indicators of low socioeconomic status and heightened genetic risk for MDD in children in both cohorts. Further, the genetic risk for MDD was associated with parental lack of interest in the child's education in NCDS as well as more maternal smoking and less maternal alcohol consumption during childhood in MCS. According to sensitivity analyses in MCS (controlling for parental genotype), more than half of our significant correlations reflected passive rGE.

conclusionsFindings suggest that several established environmental and psychosocial risk factors for SCZ and MDD are at least partially associated with children's genetic risk for these psychiatric disorders.

Indexed as

Major Depressive DisorderSchizophreniaCohort StudiesDepressionGene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritanceRisk FactorsEnvironmentgeneticsmajor depressive disorderschizophrenia

Identifiers

PMID35781881
PMCPMC9796489
OpenAlexW4283797606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.