Evidence map›Paper›PMID 33125721›Full record

ArticleJournal of child psychology and psychiatry, and allied disciplines2021

Genetic susceptibility for major depressive disorder associates with trajectories of depressive symptoms across childhood and adolescence.

Alexandre A Lussier, Matthew Hawrilenko, Min-Jung Wang, Karmel W Choi, Janine Cerutti, Yiwen Zhu, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Erin C Dunn

Open access · greenAbstract read
In one paragraph

Article in Journal of child psychology and psychiatry, and allied disciplines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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

8 authors at 4 institutions in 1 country.

Alexandre A LussierPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-1179-0621
Matthew HawrilenkoDepartment of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Min-Jung WangPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-4432-3330
Karmel W ChoiPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-3914-2431
Janine CeruttiPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-9280-4406
Yiwen ZhuPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-3874-6671
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Erin C DunnPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-1413-3229
Broad Institute · USHarvard University · USMassachusetts General Hospital · USUniversity of Washington · US

Funding

Training Program in Psychiatric Genetics and Translational ResearchT32MH017119 · NIMH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KARESTAN C KOENEN, Jukka-Pekka Onnela · 1985 to 2026
$8.9M
Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
Genes, early adversity, and sensitive periods in social-emotional developmentK01MH102403 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DUNN, ERIN CATHLEEN · 2014 to 2017
$710k
Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NIMH NIH HHS K01 MH102403NIMH NIH HHS K01MH102403NIMH NIH HHS R01 MH113930NIMH NIH HHS R01MH113930NIMH NIH HHS T32 MH017119NIMH NIH HHS T32MH017119Wellcome TrustWellcome Trust 102215/2/13/2
6 · The paper itself

Abstract

backgroundEarly-onset depression during childhood and adolescence is associated with a worse course of illness and outcome than adult onset. However, the genetic factors that influence risk for early-onset depression remain mostly unknown. Using data collected over 13 years, we examined whether polygenic risk scores (PRS) that capture genetic risk for depression were associated with depressive symptom trajectories assessed from childhood to adolescence.

methodsData came from the Avon Longitudinal Study of Parents and Children, a prospective, longitudinal birth cohort (analytic sample = 7,308 youth). We analyzed the relationship between genetic susceptibility to depression and three time-dependent measures of depressive symptoms trajectories spanning 4-16.5 years of age (class, onset, and cumulative burden). Trajectories were constructed using a growth mixture model with structured residuals. PRS were generated from the summary statistics of a genome-wide association study of depression risk using data from the Psychiatric Genomics Consortium, UK Biobank, and 23andMe, Inc. We used MAGMA to identify gene-level associations with these measures.

resultsYouth were classified into six classes of depressive symptom trajectories: high/renitent (27.9% of youth), high/reversing (9.1%), childhood decrease (7.3%), late childhood peak (3.3%), adolescent spike (2.5%), and minimal symptoms (49.9%). PRS discriminated between youth in the late childhood peak, high/reversing, and high/renitent classes compared to the minimal symptoms and childhood decrease classes. No significant associations were detected at the gene level.

conclusionsThis study highlights differences in polygenic loading for depressive symptoms across childhood and adolescence, particularly among youths with high symptoms in early adolescence, regardless of age-independent patterns.

Indexed as

DepressionMajor Depressive DisorderAdolescentAdultChildGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLongitudinal StudiesProspective StudiesALSPACDepression trajectoriesdevelopmentlongitudinalpolygenic risk scores

Identifiers

PMID33125721
PMCPMC9886425
OpenAlexW3097259224

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.