Evidence map›Paper›PMID 39406997›Full record

ReviewMolecular psychiatry2025

The genetics of severe depression.

Clio E Franklin, Eric Achtyes, Murat Altinay, Kala Bailey, Mahendra T Bhati, Brent R Carr, Susan K Conroy, Mustafa M Husain, Khurshid A Khurshid, Todd Lencz and 16 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

26 authors.

Clio E FranklinDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0009-0002-8187-756X
Eric AchtyesDepartment of Psychiatry, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, USA.
Murat AltinayDepartment of Psychiatry and Psychology, Cleveland Clinic, Cleveland, OH, USA.
Kala BaileyDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Mahendra T BhatiDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Brent R CarrDepartment of Psychiatry, University of Florida Health, Gainsville, FL, USA.
Susan K ConroyDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA.
Mustafa M HusainDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Khurshid A KhurshidDepartment of Psychiatry, University of Massachusetts Memorial Health, Worchester, MA, USA.
Todd LenczDepartment of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY, USA.ORCID 0000-0001-8586-338X
William M McDonaldDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
Brian J MickeyDepartment of Psychiatry, Huntsman Mental Health Institute, University of Utah Health School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0002-7847-7680
James MurroughDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-6286-1242
Sean NestorDepartment of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-8848-5027
Thomas Nickl-JockschatDepartment of Psychiatry and Psychotherapy, Otto-von-Guericke University, Magdeburg, Germany.ORCID 0000-0003-2616-6503
Sina NikayinDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9024-038X
Kevin ReevesDepartment of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus, OH, USA.ORCID 0000-0002-3799-119X
Irving M RetiDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Salih SelekFaillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Care Center at Houston, Houston, TX, USA.
Gerard SanacoraDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-3722-8829
Nicholas T TrappDepartment of Psychiatry, Carver College of Medicine, and Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, USA.
Biju ViswanathDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India.ORCID 0000-0002-7317-1789
Jesse H WrightDepartment of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, KY, USA.
Patrick SullivanDepartment of Psychiatry, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.ORCID 0000-0002-6619-873X
Peter P ZandiDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA. pzandi@jhu.edu.ORCID 0000-0001-8423-2623
James B PotashDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA. jpotash@jhmi.edu.ORCID 0000-0002-5802-8079

Funding

1/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECTR01MH121542 · NIMH · JOHNS HOPKINS UNIVERSITY · PI ZANDI, PETER P. · 2019 to 2025
$6.7M
2/2 Genetics at an extreme: an efficient genomic study of individuals with clinically severe major depression receiving ECTR01MH121545 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2019 to 2023
$2.9M
NIMH NIH HHS R01 MH121542NIMH NIH HHS R01 MH121545
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) of major depressive disorder (MDD) have recently achieved extremely large sample sizes and yielded substantial numbers of genome-wide significant loci. Because of the approach to ascertainment and assessment in many of these studies, some of these loci appear to be associated with dysphoria rather than with MDD, potentially decreasing the clinical relevance of the findings. An alternative approach to MDD GWAS is to focus on the most severe forms of MDD, with the hope that this will enrich for loci of larger effect, rendering their identification plausible, and providing potentially more clinically actionable findings. Here we review the genetics of severe depression by using clinical markers of severity including: age of onset, recurrence, degree of impairment, and treatment with ECT. There is evidence for increased family-based and Single Nucleotide Polymorphism (SNP)-based estimates of heritability in recurrent and early-onset illness as well as severe functional impariment. GWAS have been performed looking at severe forms of MDD and a few genome-wide loci have been identified. Several whole exome sequencing studies have also been performed, identifying associated rare variants. Although these findings have not yet been rigorously replicated, the elevated heritability seen in severe MDD phenotypes suggests the value of pursuing additional genome-wide interrogation of samples from this population. The challenge now is generating a cohort of adequate size with consistent phenotyping that will allow for careful and robust classifications and distinctions to be made. We are currently pursuing such a strategy in our 50-site worldwide Gen-ECT-ics consortium.

Indexed as

Major Depressive DisorderGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single Nucleotide

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.