Evidence map›Paper›PMID 30935430›Full record

ArticlePsychological medicine2020

Pathway-based polygene risk for severe depression implicates drug metabolism in CONVERGE.

Anna R Docherty, Arden Moscati, Tim B Bigdeli, Alexis C Edwards, Roseann E Peterson, Daniel E Adkins, John S Anderson, Jonathan Flint, Kenneth S Kendler, Silviu-Alin Bacanu

Open access · greenAbstract read
In one paragraph

Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. E2F2 inhibits hippocampal neurogenesis in poststroke depression rats via the miR-1290/CBR1 axis.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  2. The genetics of severe depression.Molecular psychiatry · 2025
    Review
  3. Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  4. 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

10 authors at 4 institutions in 1 country.

Anna R DochertyDepartment of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0001-7139-7007
Arden MoscatiDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, USA.
Tim B BigdeliDepartment of Psychiatry, SUNY Downstate, Brooklyn, NY, USA.
Alexis C EdwardsDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, USA.
Roseann E PetersonDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, USA.
Daniel E AdkinsDepartment of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA.
John S AndersonDepartment of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA.
Jonathan FlintCenter for Neurobehavioral Genetics, UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA.
Kenneth S KendlerDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, USA.
Silviu-Alin BacanuDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, School of Medicine, Richmond, VA, USA.
Virginia Commonwealth University · USUniversity of Utah · USNeurobehavioral Systems · USSUNY Downstate Health Sciences University · US

Funding

The Molecular Genetics of Recurrent Major Depression in Chinese WomenR01MH100549 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2013 to 2015
$2.0M
Genetic influences on developmental heterogeneity of alcohol use disorderK01AA021399 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI EDWARDS, ALEXIS C · 2012 to 2016
$707k
Modeling Dimensionality and Genetic Heterogeneity in SchizophreniaK01MH109765 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI DOCHERTY, ANNA R. · 2016 to 2019
$675k
Integrating Genomic and Environmental Perspectives on Internalizing DisordersK01MH093731 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ADKINS, DANIEL E · 2011 to 2015
$649k
Leveraging sources of heterogeneity to delineate the genetic architecture of major depressive disorderK01MH113848 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI PETERSON, ROSEANN ELIZABETH · 2018 to 2020
$546k
Using novel eQTL-based methods to find the molecular causes of alcohol dependencyR21AA022717 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BACANU, SILVIU-ALIN · 2014 to 2015
$382k
Using genetic overlap to dissect the genetic architecture of psychiatric diseasesR21MH100560 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI BACANU, SILVIU-ALIN · 2014 to 2015
$358k
NIAAA NIH HHS K01 AA021399NIAAA NIH HHS R21 AA022717NIMH NIH HHS K01 MH093731NIMH NIH HHS K01 MH109765NIMH NIH HHS K01 MH113848NIMH NIH HHS R01 MH100549NIMH NIH HHS R21 MH100560Wellcome TrustWellcome Trust WT083573/Z/07/ZWellcome Trust WT089269/Z/09/ZWellcome Trust WT090532/Z/09/Z
6 · The paper itself

Abstract

backgroundThe Psychiatric Genomics Consortium (PGC) has made major advances in the molecular etiology of MDD, confirming that MDD is highly polygenic. Pathway enrichment results from PGC meta-analyses can also be used to help inform molecular drug targets. Prior to any knowledge of molecular biomarkers for MDD, drugs targeting molecular pathways (MPs) proved successful in treating MDD. It is possible that examining polygenicity within specific MPs implicated in MDD can further refine molecular drug targets.

methodsUsing a large case-control GWAS based on low-coverage whole genome sequencing (N = 10 640) in Han Chinese women, we derived polygenic risk scores (PRS) for MDD and for MDD specific to each of over 300 MPs previously shown to be relevant to psychiatric diagnoses. We then identified sets of PRSs, accounting for critical covariates, significantly predictive of case status.

resultsOver and above global MDD polygenic risk, polygenic risk within the GO: 0017144 drug metabolism pathway significantly predicted recurrent depression after multiple testing correction. Secondary transcriptomic analysis suggests that among genes in this pathway, CYP2C19 (family of Cytochrome P450) and CBR1 (Carbonyl Reductase 1) might be most relevant to MDD. Within the cases, pathway-based risk was additionally associated with age at onset of MDD.

conclusionsResults indicate that pathway-based risk might inform etiology of recurrent major depression. Future research should examine whether polygenicity of the drug metabolism gene pathway has any association with clinical presentation or treatment response. We discuss limitations to the generalizability of these preliminary findings, and urge replication in future research.

Indexed as

Multifactorial InheritanceAdultAge of OnsetAsian PeopleCase-Control StudiesChinaFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMajor Depressive DisorderMiddle AgedPolymorphism, Single NucleotideRecurrenceRisk FactorsCONVERGEdepressiondrug metabolismgeneticpolygenic

Identifiers

PMID30935430
PMCPMC6774907
OpenAlexW2932721047

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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.