Evidence map›Paper›PMID 41867177›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Genetic Signal Augmentation of Childhood-Onset and Treatment-Resistant Major Depression Reveals Distinct Biological Disorders.

Jeremy M Lawrence, Sophie Breunig, Lukas S Schaffer, Alexander Sheppard, Katerina Zorina-Lichtenwalter, Andrew D Grotzinger

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

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

6 authors.

Jeremy M LawrenceInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.
Sophie BreunigInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.ORCID 0000-0001-6594-0587
Lukas S SchafferInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.
Alexander SheppardInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.
Katerina Zorina-LichtenwalterInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO USA.

Funding

Research Training: Mental Health Behavior GeneticsT32MH016880 · NIMH · UNIVERSITY OF COLORADO AT BOULDER · PI Naomi P. Friedman, Matthew Charles Keller · 1985 to 2026
$5.3M
Longitudinal multi-omic biomarkers for neurocognitive decline prior to dementia onsetU01AG083829 · NIA · UNIVERSITY OF EDINBURGH · PI Sarah Elizabeth Harris · 2024 to 2026
$3.5M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetR01AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2024 to 2025
$1.3M
NIA NIH HHS R01 AG073593NIA NIH HHS U01 AG083829NIMH NIH HHS T32 MH016880
6 · The paper itself

Abstract

Major depression (MD) is a disorder class that exhibits substantial phenotypic and clinical heterogeneity, yet many large-scale molecular genetic investigations treat MD as a unitary outcome. Here, we applied Genomic Structural Equation Modeling (Genomic SEM) to characterize the genetic variation in two clinically relevant MD subtypes, childhood-onset (child-onset) and treatment-resistant MD, that are independent of the field-standard GWAS of MD in all its forms. In addition, we fit a complementary "boosting" model that leveraged shared signal across the subtype and general MD GWAS to increase power for subtype biological discovery. At the genome-wide level, more than half of the common-variant liability for child-onset and treatment-resistant MD was unique relative to the general MD GWAS, indicating substantial subtype-specific genetic architecture. Unique components of both subtypes showed robust associations with genetic liability for schizophrenia and bipolar disorder, and the child-onset specific component exhibited genome-wide overlap with early developmental outcomes, including autism spectrum disorder and childhood intelligence. Transcriptome-wide analyses implicated upregulation of

Identifiers

PMID41867177
PMCPMC13004145

What Socratic holds

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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 Socratic graph.