Evidence map›Paper›PMID 41727570›Full record

ArticleResearch square2026

The genetic risk of mental health disorders in children from diverse population-based cohorts is modulated by poverty.

Marina Carpena, Enya Nordon, Thais Martins-Silva, Cathy Wyse, Lorna Lopez, Joseph Murray, Luis Rohde, Iná Santos, Alicia Matijasevich, Luciana Tovo-Rodrigues

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In one paragraph

Article in Research square, 2026. 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Marina CarpenaFederal University of Pelotas.ORCID 0000-0002-4690-5791
Enya Nordon
Thais Martins-Silva
Cathy Wyse
Lorna LopezMaynooth University.ORCID 0000-0002-0241-9783
Joseph MurrayFederal University of Pelotas.ORCID 0000-0002-5511-3454
Luis RohdeUniversidade Federal do Rio Grande do Sul.ORCID 0000-0002-4552-4188
Iná Santos
Alicia Matijasevich
Luciana Tovo-Rodrigues

Funding

Reproducible imaging-based brain growth charts for psychiatryR01MH120482 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI MILHAM, MICHAEL PETER, SATTERTHWAITE, THEODORE · 2019 to 2023
$3.5M
NIMH NIH HHS R01 MH120482Wellcome Trust
6 · The paper itself

Abstract

Attention-deficit/hyperactivity disorder (ADHD) and depression share substantial genetic liability, yet the extent to which socioeconomic disadvantage shapes the expression of this genetic risk remains unclear. We investigated whether poverty moderates and mediates associations between polygenic risk scores (PGS) for ADHD and major depressive disorder (MDD) and corresponding symptoms in early adolescence. Data were drawn from two populationbased cohorts: the 2004 Pelotas Birth Cohort (Brazil; N = 3,470) and the Adolescent Brain Cognitive Development (ABCD) Study (United States; N = 10,218). ADHD and depressive symptoms were assessed using caregiver reports (Strengths and Difficulties Questionnaire in Pelotas; Child Behavior Checklist in ABCD). Household income was harmonized and categorized into low (bottom 30%), middle (40%), and high (top 30%) income. PGS were derived using SBayesRC and PLINK2. Linear regression models tested main genetic effects and gene-environment interactions, and mediation analyses quantified indirect effects via poverty, adjusting for age, sex, and ancestry principal components. In Pelotas, ADHD-PGS was associated with ADHD symptoms (β = 0.86, SE = 0.23, p < 0.0001) and emotional symptoms (β = 0.69, SE = 0.24, p = 0.003), with a significant interaction with poverty for ADHD symptoms (pinteraction = 0.024). In ABCD, both ADHD- and MDD-PGS were associated with ADHD and depressive symptoms (all p < 0.001; ΔR

Identifiers

PMID41727570
PMCPMC12919205

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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.